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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurol.</journal-id>
<journal-title>Frontiers in Neurology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurol.</abbrev-journal-title>
<issn pub-type="epub">1664-2295</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fneur.2023.1213969</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neurology</subject>
<subj-group>
<subject>Review</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Toward the use of novel alternative methods in epilepsy modeling and drug discovery</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author"><name><surname>Miguel Sanz</surname> <given-names>Claudia</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Martinez Navarro</surname> <given-names>Miriam</given-names></name></contrib>
<contrib contrib-type="author"><name><surname>Caballero Diaz</surname> <given-names>Daniel</given-names></name><uri xlink:href="https://loop.frontiersin.org/people/589265/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Sanchez-Elexpuru</surname> <given-names>Gentzane</given-names></name><xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<xref rid="fn0001" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2320289/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes"><name><surname>Di Donato</surname> <given-names>Vincenzo</given-names></name><xref rid="c001" ref-type="corresp"><sup>&#x002A;</sup></xref>
<xref rid="fn0001" ref-type="author-notes"><sup>&#x2020;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/558389/overview"/>
</contrib>
</contrib-group>
<aff><institution>ZeClinics SL, IGTP (Germans Trias I Pujol Research Institute)</institution>, <addr-line>Badalona</addr-line>, <country>Spain</country></aff>
<author-notes>
<fn fn-type="edited-by" id="fn0002">
<p>Edited by: Annemarie Lang, University of Pennsylvania, United States</p>
</fn>
<fn fn-type="edited-by" id="fn0003">
<p>Reviewed by: Melody Li, University of Melbourne, Australia; Thomas Marissal, INSERM U901 Institut de Neurobiologie de la M&#x00E9;diterran&#x00E9;e, France</p>
</fn>
<corresp id="c001">&#x002A;Correspondence: Gentzane Sanchez-Elexpuru, <email>gentzane.sanchez@zeclinics.com</email>; Vincenzo Di Donato, <email>vincenzo.didonato@zeclinics.com</email></corresp>
<fn fn-type="equal" id="fn0001">
<p><sup>&#x2020;</sup>These authors have contributed equally to this work and share last authorship</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>31</day>
<month>08</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>14</volume>
<elocation-id>1213969</elocation-id>
<history>
<date date-type="received">
<day>04</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>14</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2023 Miguel Sanz, Martinez Navarro, Caballero Diaz, Sanchez-Elexpuru and Di Donato.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Miguel Sanz, Martinez Navarro, Caballero Diaz, Sanchez-Elexpuru and Di Donato</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Epilepsy is a chronic brain disease and, considering the amount of people affected of all ages worldwide, one of the most common neurological disorders. Over 20 novel antiseizure medications (ASMs) have been released since 1993, yet despite substantial advancements in our understanding of the molecular mechanisms behind epileptogenesis, over one-third of patients continue to be resistant to available therapies. This is partially explained by the fact that the majority of existing medicines only address seizure suppression rather than underlying processes. Understanding the origin of this neurological illness requires conducting human neurological and genetic studies. However, the limitation of sample sizes, ethical concerns, and the requirement for appropriate controls (many patients have already had anti-epileptic medication exposure) in human clinical trials underscore the requirement for supplemental models. So far, mammalian models of epilepsy have helped to shed light on the underlying causes of the condition, but the high costs related to breeding of the animals, low throughput, and regulatory restrictions on their research limit their usefulness in drug screening. Here, we present an overview of the state of art in epilepsy modeling describing gold standard animal models used up to date and review the possible alternatives for this research field. Our focus will be mainly on <italic>ex vivo</italic>, <italic>in vitro</italic>, and <italic>in vivo</italic> larval zebrafish models contributing to the 3R in epilepsy modeling and drug screening. We provide a description of pharmacological and genetic methods currently available but also on the possibilities offered by the continued development in gene editing methodologies, especially CRISPR/Cas9-based, for high-throughput disease modeling and anti-epileptic drugs testing.</p>
</abstract>
<kwd-group>
<kwd>epilepsy</kwd>
<kwd>genetic models</kwd>
<kwd>Dravet syndrome</kwd>
<kwd>zebrafish</kwd>
<kwd>alternative methods</kwd>
<kwd>anti-epileptic drug screening</kwd>
<kwd>3Rs</kwd>
</kwd-group>
<counts>
<fig-count count="2"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="184"/>
<page-count count="16"/>
<word-count count="16377"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Epilepsy</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="sec1"><label>1.</label>
<title>Introduction to causes of epilepsy and available treatments</title>
<p>Epilepsy, one of the most common neurological disorders, affects around 50 million people according to the World Health Organization (WHO). It is a severe neurological disorder characterized by recurrent seizures (<xref ref-type="bibr" rid="ref1">1</xref>). A seizure is defined as &#x201C;a transient occurrence of signs and/or symptoms due to abnormal excessive or synchronous neuronal activity in the brain&#x201D; (<xref ref-type="bibr" rid="ref2">2</xref>). In 2017, International League Against Epilepsy (ILAE) approved and published an updated classification of seizure types (<xref ref-type="bibr" rid="ref3">3</xref>, <xref ref-type="bibr" rid="ref4">4</xref>). This classification was generated for practical use in the clinical setting, but it can also be used by researchers with specific purposes. Depending on their onset, seizures can be classified into focal (originated in localized parts of the brain), general (originated from extensive regions in both hemispheres of the brain) and unknown. Focal seizures can be further classified based on the level of awareness, understood as the person&#x2019;s awareness of self and environment during the seizure. In addition, both focal and generalized seizures can be divided into motor (e.g., tonic or clonic) and non-motor (e.g., sensorial signs as absence) seizures, and subdivided into different categories described in detail by Devinsky et al. (<xref ref-type="bibr" rid="ref5">5</xref>) and Fisher et al. (<xref ref-type="bibr" rid="ref6">6</xref>).</p>
<p>Epilepsy is considered a spectrum disorder with highly diverse etiology, comprising structural, genetic, metabolic, autoimmune and infection-related causes. Structural causes (<xref ref-type="bibr" rid="ref5">5</xref>, <xref ref-type="bibr" rid="ref7">7</xref>) refers to abnormal structural brain defects that are known to substantially increase the risk of seizures. These structural abnormalities can be congenital or acquired, like brain tumors, strokes or head trauma (<xref ref-type="bibr" rid="ref8">8</xref>). The epileptic syndromes are defined by the ILAE as &#x201C;a characteristic cluster of clinical and electroencephalographic (EEG) features, often supported by specific etiological findings.&#x201D; The correct diagnosis of an epileptic syndrome is crucial since it usually has important implications in the prognosis and treatment (<xref ref-type="bibr" rid="ref9">9</xref>).</p>
<sec id="sec2"><label>1.1.</label>
<title>Genetic basis of epileptic syndromes</title>
<p>Genetic causes of epilepsy usually involve single-gene mutations affecting ion channels, synaptic support proteins, mTOR pathway regulators chromatin remodeling and trascription regulators (<xref ref-type="bibr" rid="ref10">10</xref>). These types of epilepsies are very diverse and in most cases the underlying genes have not been identified yet (<xref ref-type="bibr" rid="ref8">8</xref>). Some of the identified single gene mutations causing epilepsy are in the SCN1A (<xref ref-type="bibr" rid="ref11">11</xref>), SCN8A and HCN1 genes for Dravet Syndrome (DS) (<xref ref-type="bibr" rid="ref12">12</xref>), in the GABRA1 gene (A322D mutation) for Juvenile myoclonic epilepsy (<xref ref-type="bibr" rid="ref13">13</xref>), in the LIS1 gene for Classical Lissencephaly (<xref ref-type="bibr" rid="ref14">14</xref>), in the STXBP1, DNM1, DEPDC5 and GRIN2B genes for Epileptic Encephalopathy (<xref ref-type="bibr" rid="ref15">15</xref>), in the CHD2 (<xref ref-type="bibr" rid="ref16">16</xref>) and GABRB3 (<xref ref-type="bibr" rid="ref17">17</xref>) genes for Lennox&#x2013;Gastaut syndrome and PCDH19 genes for PCDH19 female epilepsy (<xref ref-type="bibr" rid="ref18">18</xref>). Over the last years, thanks to the constant improvements in sequencing technologies, a growing number of novel variants have been discovered by analyzing large cohorts of patients within the framework of several international collaborations. Among those, the Epi4k consortium, composed by more 60 researchers in USA, Australia and United Kingdom, aims to unravel, by sequencing and analyzing over 4,000 genomes, genetic causes of under studied forms of epilepsy (Infantile Spasms and Lennox&#x2013;Gastaut Syndrome) and identify novel <italic>de novo</italic> or rare pathogenic variants (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). A similar example of an inter-institutional effort is the Epi25 collaborative established in 2014 with the aim to perform exome sequencing of 25.000 epilepsy patients and correlate the data sequencing results with phenotypic data in order to reach a better patient stratification and genotype/phenotype spectrum correlation. The work of the collaborative led to a very recent publication releasing data from the largest analysis of copy number variants as risk factor for epilepsy performed to date, including discovery of novel variants and definition of phenotypic signatures for almost 20 clinical categories (<xref ref-type="bibr" rid="ref21">21</xref>). On the same line, the International League Against Epilepsy (ILAE) Consortium on Complex Epilepsies run a genome-wide analysis of nearly 45,000 people which led to the identification of 16 genetic loci associated with generalized epilepsy (11 of which newly identified) and, within these loci, 21 genes coding for ion-channel subunits (SCN1A, SCN2A, SCN3A, GABRA2, KCNN2, KCNAB1, and GRIK1), transcription factors (ZEB2, STAT4, and BCL11A), synaptic transmission regulators (STX1B), etc. (<xref ref-type="bibr" rid="ref22">22</xref>).</p>
<p>Despite the aforementioned efforts to untangle the complexity of the genetics underlying epileptic phenotypic heterogeneity is high. Indeed, <italic>de novo</italic> or familial mutations in epilepsy-related genes are characterized by a variable expressivity, thus an extremely variable phenotyping spectrum ranging from generalized epilepsies to severe encephalopathies (<xref ref-type="bibr" rid="ref23">23</xref>, <xref ref-type="bibr" rid="ref24">24</xref>). The causes for these very diverse phenotypic outcomes linked to gene modification are hotly debated in the genetics community. Among other causes, can be found the probable involvement of modifier loci, somatic mosaicism, repeated expansion and significant environmental variables. Genetic modifiers, which interact with the primary mutation and modulate the disease severity, have been identified for the SCN1a gene in mice (<xref ref-type="bibr" rid="ref25">25</xref>) and human patients (<xref ref-type="bibr" rid="ref26">26</xref>). In other cases, post-zygotically acquired mutations can be accumulated in a tissue specific manner affecting subpopulations in a variable number of neuronal cells in different brain regions (<xref ref-type="bibr" rid="ref27">27</xref>). For example, variants of the GLI3 gene in the germline give rise to Pallister Hall, a syndrome that includes congenital anomalies as Hypothalamic hamartoma (HH), while variants limited to (or enriched in) the hypothalamus can lead to isolated HH (<xref ref-type="bibr" rid="ref28">28</xref>).</p>
<p>Other cases where genomic instability plays a role in the severity or age of onset of epileptic symptoms in human patients have caught the interest of clinicians and researchers in the field during the last years. Importantly, until the advent of the advanced sequencing technologies, the search for pathogenic variants was mainly focused in the coding regions of the identified genes and those could not justify the incomplete penetrance and variable expressivity of the pathogenesis nor the high percentages of individuals affected even not being carriers of the mutations. Indeed, genetic linkage analysis, where the use of several molecular markers is employed to identify the location of a disease-causing variant, have provided the groundbreaking discovery that non-coding regions of defined genetic loci contribute to the etiology of forms of epilepsy. In particular, repeat expansions in non-coding regions of different genetic loci cause autosomal dominant forms of Familial adult onset myoclonus epilepsy (FAME) (<xref ref-type="bibr" rid="ref29">29</xref>, <xref ref-type="bibr" rid="ref30">30</xref>). Intriguingly, the length of the repeats, which shows generational instability, correlates with the age of onset and severity of the detected phenotypes (<xref ref-type="bibr" rid="ref31">31</xref>).</p>
<p>If on one hand the genetic complexity of epilepsy is a burden for understanding the pathophysiology, on the other hand the novel discoveries on somatic mosaicism and repeated expansion open an opportunity for better patient stratification and enhance the possibilities of diagnostic detection of the disease.</p>
</sec>
<sec id="sec3"><label>1.2.</label>
<title>Environmental factors and comorbidities</title>
<p>In addition to genetic causes environmental causes have been identified for pathogenesis (<xref ref-type="bibr" rid="ref8">8</xref>). A common risk factor for seizures and acquired epilepsy are infections. Epilepsies with infectious etiology are the ones in which seizures are the main symptom as a direct consequence of an infection. Seizures can be the only symptom, or can represent one symptom among other dysfunctions of the central nervous system (<xref ref-type="bibr" rid="ref32">32</xref>). Epilepsies can also be a result of a metabolic disorder, although in most of the cases they will also have a genetic basis, or can also be a consequence of an immune disorder. Moreover, there are still some epilepsies of unknown etiology (<xref ref-type="bibr" rid="ref8">8</xref>).</p>
<p>Moreover, it is important to note the significant negative impact of comorbidities in epilepsy. Comorbidity was defined by Feinstein as &#x201C;any distinct additional entity that has existed or may occur during the clinical course of a patient who has the index disease under study&#x201D; (<xref ref-type="bibr" rid="ref33">33</xref>). Patients with epilepsy are affected by several diseases such as depression, anxiety, dementia, migraine, heart disease, peptic ulcers, and arthritis up to eight times more than the general population (<xref ref-type="bibr" rid="ref34">34</xref>). In addition, some conditions such as psychiatric, endocrine/metabolic, and respiratory disorders are associated with worse seizure outcomes in the long-term (<xref ref-type="bibr" rid="ref35">35</xref>). Various models have been generated to account for the relation between comorbid disorders. These models are not mutually exclusive and even within a single person, the same comorbid disease may be linked to epilepsy for a variety of reasons. It is particularly interesting the role of genetics in epilepsy and its comorbidities. Genetic mutations can be a shared risk factor, like for example in the SCN1A gene, where mutations predispose individuals to the development of epilepsy, but also a gait disorder. Genetic factors can also act as modifiers, impacting the relation between cause and effect, like for example the higher risk of epilepsy in carriers of the APOE4 allele after traumatic brain injury. The contribution of comorbidities to mortality in epilepsy is quite significant, underlying the relevance of the study of the causal mechanisms (<xref ref-type="bibr" rid="ref34">34</xref>).</p>
</sec>
<sec id="sec4"><label>1.3.</label>
<title>Overview on anti-seizure medications</title>
<p>Currently there is no effective treatment for epilepsy and most of the drugs used in the treatment of epilepsy are directed to treat the symptoms or seizures rather than treating the underlying disease. Therefore, although historically they have been named anti-epileptic drugs (AEDs), the term anti-seizure medications (ASMs) is nowadays more widely accepted. By definition, ASMs prevent or suppress the generation, propagation, and severity of epileptic seizures. The majority of ASMs work by altering voltage-gated ion channels, enhancing gamma aminobutyric acid (GABA)-mediated inhibition, interacting with synaptic release machinery, blocking ionotropic glutamate receptors, or a combination of these mechanisms (<xref ref-type="bibr" rid="ref36">36</xref>). Some patients achieve seizure control with the use of one medication, however in many cases a combination of multiple medications is necessary. There are other types of approaches for the treatment of epilepsies, including surgery, neuromodulation devices or diet (<xref ref-type="bibr" rid="ref5">5</xref>). Even with the currently available ASMs and other types of therapies, about one third of the patients do not achieve seizure control. This is partly due to the drug resistance that many patients with different types of epilepsy develop. In addition to resistance mechanisms, a critical issue contributing to the slow pace of novel ASM discovery is reliability of evaluation of compound efficacy in human patients starting from data generated with rodent models or NAMs. Performing the ADME (administration, distribution, metabolism and excretion) profiling of a molecule and assessing its capacity to cross the blood brain barrier (BBB) are challenging tasks and the results might not accurately predict the outcomes in patients, also considering inter individual susceptibility and differential response based on age to compound administration (<xref ref-type="bibr" rid="ref37">37</xref>). Regarding ADME in <italic>in vivo</italic> models, it has to be taken into account that rodents eliminate drugs at a quicker rate than humans, making the generation of dose&#x2013;response efficacy curves complicated. Nevertheless, longitudinal studies with rat or mouse models with multi-injections regimes followed by blood serum concentration analysis allow to study the pharmacodynamics of the administered molecules (<xref ref-type="bibr" rid="ref38">38</xref>). Thereafter, the evaluation of the concentration of the compound reaching the CNS is estimated with the brain&#x2013;blood or brain-plasma ratio, a model that correlates the brain-targeting ability of therapeutics with the CNS pharmacokinetics (<xref ref-type="bibr" rid="ref39">39</xref>). This tool is more straightforward than other time consuming and invasive techniques such as microdialysis and <italic>in situ</italic> brain perfusion (<xref ref-type="bibr" rid="ref40">40</xref>). Indeed, over the last years, <italic>in silico</italic> predictions based on available <italic>in vivo</italic> and <italic>in vitro</italic> data and molecular descriptors of the compounds of interest have been optimized to infer the BBB permeability of neurotherapeutics (<xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). In <italic>in vitro</italic> models ADME studies cannot be directly performed, however cost effective assays can be used as indicators of the ADME fate of compounds <italic>in vivo</italic>. Among other parameters, it is possible to calculate the physicochemical properties as lipophilicity, solubility as well as its metabolic fate via hepatic microsome stability and plasma stability assays (<xref ref-type="bibr" rid="ref43">43</xref>). In addition to these, multiple cell culture models derived from a variety of species have been developed to mimic the BBB and study molecule transport through this structure (<xref ref-type="bibr" rid="ref44">44</xref>). With regard to whole embryo non animal studies, as the ones performed with the zebrafish model, it is possible to extrapolate relevant Absorption, Metabolism and Excretion values since zebrafish can adsorb and metabolize toxicants in a similar manner to that of mammals. In this case, zebrafish embryos are treated with selected compounds by waterborne exposure and collected at different exposure times for LC-HRMS analysis (<xref ref-type="bibr" rid="ref45">45</xref>). This method allows the evaluation of the stability and toxicokinetic profile of novel molecules. Also in the zebrafish model, the brain-to-plasma concentration can be calculated and, interestingly, it has been shown that there is a correlation between the partition coefficient (Kp, brain) values obtained from the zebrafish and mice, indicating that zebrafish can be an alternative to rodent models to predict drug penetration in humans (<xref ref-type="bibr" rid="ref46">46</xref>).</p>
<p>Taking into account all the previous considerations, there is an essential need for a better understanding of the basic mechanisms of the processes leading to epilepsy, the biological mechanisms of pharmacoresistance and the development of disease-modifying therapies. To achieve these goals, well established models of epilepsy are the most important prerequisite.</p>
</sec>
</sec>
<sec id="sec5"><label>2.</label>
<title>Current state of art in epilepsy models</title>
<p>Over the years different animal models have been developed to study epilepsy (<xref rid="fig1" ref-type="fig">Figure 1</xref>). A very classic and widely used group of epilepsy models are the ones with an induction of seizures in wild-type animals. This induction can be electrical or chemical and in both cases it can be an acute or a chronic induction (<xref ref-type="bibr" rid="ref47">47</xref>, <xref ref-type="bibr" rid="ref48">48</xref>).</p>
<fig position="float" id="fig1"><label>Figure 1</label>
<caption>
<p>Timeline of the most representative vertebrate animal models in epilepsy over the last century. All models (exception of the electroshock models in cats) are still being used in the development of new treatments for epilepsy. During the first half of the twentieth century and up to the late 1990s, a large number of compounds with antiepileptic properties were discovered in these models (Classics ASMs). However, most of these compounds were discovered in pharmacoresistant models of epilepsy. The development of the first genetic models has allowed progress to be scored in the search for novel antiseizure medications that are able to overcome drug resistance. In the last decade, the use of zebrafish has led to the development of Fenfluramine (FDA-approved drug) and Clemizole (in DS clinical phases). In the future, it is hoped that new approach methodologies (NAMs), such as zebrafish, organoids and induced Pluripotent Stem Cells (iPSCs), will facilitate the discovery of new drugs useful for different types of epilepsy (new ASMs).</p>
</caption>
<graphic xlink:href="fneur-14-1213969-g001.tif"/>
</fig>
<p>Among the electrically induced acute seizures, the best-validated preclinical test is the maximal electroshock seizure (MES) test, in which an acute seizure is electrically induced in a normal non-epileptic animal. This test is very effective in identifying drugs against generalized tonic&#x2013;clonic seizures (<xref ref-type="bibr" rid="ref49">49</xref>). Another example of electrically induced acute seizures is the 6-Hz psychomotor seizure model of partial epilepsy, a model of pharmacoresistant epilepsy. This model, in which an electrical stimulation by low-frequency (6-Hz) is delivered through corneal electrodes, has been used both with mice and rats (<xref ref-type="bibr" rid="ref50">50</xref>, <xref ref-type="bibr" rid="ref51">51</xref>). Repeated 6 Hz corneal stimulation in mice has also been used to successfully establish a kindling model showing resistance to ASMs (<xref ref-type="bibr" rid="ref52">52</xref>). Kindling models are the models in which repeated non-convulsive stimuli are applied progressively producing a change in seizure response and finally reaching a fully kindled state with a stable seizure response to each stimulation (<xref ref-type="bibr" rid="ref53">53</xref>). These models belong to electrically induced chronic seizures, and the best established model among them is the amygdala kindling rat model of temporal lobe epilepsy (TLE). In this model, there is a repeated application of electrical stimuli through a depth electrode in the basolateral amygdala of rats and this induces a permanent enhancement of seizure susceptibility together with other brain alterations that are similar to the ones occurring in human TLE. It was the first proposed model of pharmacoresistant partial epilepsy (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref54">54</xref>).</p>
<p>On the other hand, there are chemically induced seizures. One of the most commonly used models of acute chemically induced seizures is the pentylenetetrazole (PTZ) test, which has been crucial for the identification of many ASMs that are clinically used today. PTZ is an antagonist of the type A receptor of &#x03B3;-aminobutyric acid (GABAA). The administration of low doses of PTZ (sub-convulsive) in animal models can result in absence seizures (<xref ref-type="bibr" rid="ref55">55</xref>), whereas higher doses (convulsive) produce generalized tonic&#x2013;clonic seizures (<xref ref-type="bibr" rid="ref56">56</xref>). PTZ has also been used to generate a chemically induced kindling model by the repeated administration of sub-convulsive doses (<xref ref-type="bibr" rid="ref57">57</xref>). Although PTZ use is very extended in mice and rats, it is also routinely used in other models such as zebrafish (<xref ref-type="bibr" rid="ref58">58</xref>).</p>
<p>Another important group of chronic models of epilepsy are models in which after inducing status epilepticus by chemical or electrical stimulation spontaneous recurrent seizures develop (<xref ref-type="bibr" rid="ref48">48</xref>). Status epilepticus is defined by the ILAE as &#x201C;a condition resulting either from the failure of the mechanisms responsible for seizure termination or from the initiation of mechanisms, which lead to abnormally prolonged seizures&#x201D; (<xref ref-type="bibr" rid="ref59">59</xref>). Although these models can be induced by electrical stimulus, the most extended models are the ones generated by either pilocarpine, cholinergic muscarinic agonist pilocarpine, or kainate, a cyclic analog of L-glutamate and an agonist of the ionotropic kainate receptors. Both pilocarpine and kainate represent post-status epilepticus models of TLE (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref60">60</xref>).</p>
<p>The other main group of epilepsy models is the genetic animals models. With the description of more single gene mutations causing epilepsy, and the advancements in gene-editing techniques, more genetic animal models have been developed and validated (<xref ref-type="bibr" rid="ref61">61</xref>). The generation of these models contributes to a better understanding of the mechanisms of epileptogenesis. A good example of this are the mouse models of lissencephalies (<xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref62">62</xref>). In humans, heterozygous mutation or deletion of the lissencephaly gene (LIS1) leads to classical or type I Lissencephaly, causing cognitive deficits, severe seizures, and a serious disruption of cortical and hippocampal lamination. Before the generation of mouse models, how neurons communicate in Lis1-deficient brain was not well understood. The generation of a Type I Lissencephaly mouse model permitted the description of alterations in synaptic inhibition that may contribute to seizures and altered cognitive function, which can potentially lead to advances in novel therapeutic strategies (<xref ref-type="bibr" rid="ref62">62</xref>). Moreover, the models of lissencephalies have been crucial for understanding the function of LIS1 and the pathways associated with it during brain development (<xref ref-type="bibr" rid="ref14">14</xref>). Furthermore, genetic animal models have been fundamental for the advancement of therapeutic interventions. This is for example the case of the mouse models that have been generated for DS, which have also been extensively characterized (<xref ref-type="bibr" rid="ref63 ref64 ref65">63&#x2013;65</xref>). In one of these models, for example, treatment with low-dose clonazepam, a positive allosteric modulator of GABAA receptors, completely rescued the abnormal social behaviors and deficits in fear memory of these mice (<xref ref-type="bibr" rid="ref66">66</xref>). In a more recent study, Hawkins et al. also demonstrated that treatment with soticlestat, a novel potent and highly selective brain-specific inhibitor of the CH24H enzyme, significantly improved Dravet-like phenotypes of Scn1a Dravet mouse models (<xref ref-type="bibr" rid="ref67">67</xref>). In summary, the development of genetic animal models has been of relevance not only to expand the knowledge of the mechanisms of epileptogenesis, but also to move forward in the discovery of new potential therapies.</p>
<p>Despite the large number of models that have been established for the development of new therapies in epilepsy, 30% of the patients do not response to classic ASMs and consequently more research and new models are needed. The discovery of new ASMs requires the screening of large number of compounds and, therefore, the models need to be not only predictive of clinical activity, but also easy to perform and time and cost efficient.</p>
</sec>
<sec id="sec6"><label>3.</label>
<title>Alternative models: toward the 3R in epilepsy model generation and drug screening</title>
<p>The high impact of epilepsy on patients and their communities highlights the urgent need to improve the understanding of its pathophysiology and develop efficient treatments for seizure regulation. However, the use of conventional <italic>in vivo</italic> and <italic>in vitro</italic> models based on rodents display substantial limitations and ethical concerns. Although rodent models may be particularly useful for predicting treatment responses in humans due to the greater similarities between the nervous systems of different mammalian species, variation in the genetic background of rodent strains can also result in opposing or contradictory results. Rodent models are also more expensive and require complicated, invasive procedures to study the role of genes in seizure mechanisms (<xref ref-type="bibr" rid="ref68">68</xref>). Additionally, growing awareness of the sentience of animals and their experience of pain has led to the adoption of the 3Rs principle (replace, reduce, and refine) by all the ethical committees and whenever possible, novel alternative models to animal experimentation are recommended (<xref ref-type="bibr" rid="ref69">69</xref>).</p>
<p>Multiple alternative methods have arisen in order to provide relevant insights into the epileptic pathology and accelerate treatment innovation (<xref rid="fig2" ref-type="fig">Figure 2</xref>). Among them, organotypic brain slice cultures (OSCs), Induced pluripotent Stem Cells (iPSC) and organoids appear as relevant models for new antiseizure drug candidates screening. On another hand, several models not classified as animals larval stage of <italic>Danio rerio</italic> (<xref ref-type="bibr" rid="ref70">70</xref>) or non-vertebrates <italic>C. elegans</italic> (<xref ref-type="bibr" rid="ref71">71</xref>, <xref ref-type="bibr" rid="ref72">72</xref>) and <italic>Drosophila melanogaster</italic> (<xref ref-type="bibr" rid="ref73">73</xref>), traditionally used in basic research on embryonic development, have proven valuable in epilepsy research. This is because these models allow for high-throughput pharmacological screening, enabling the simultaneous evaluation of a large number of samples, the automated analysis of different phenotypes in short times, and the generation of avatars of human patients for the testing of new therapies. Among these, we will focus on the most widely used vertebrate zebrafish model.</p>
<fig position="float" id="fig2"><label>Figure 2</label>
<caption>
<p>Comparison chart of the alternative methods available for epilepsy research. Comparison table describing the characteristics of the alternative methods discussed in this review, including OSCs, iPSCs, brain organoids and zebrafish models. MoA, Mechanism of Action.</p>
</caption>
<graphic xlink:href="fneur-14-1213969-g002.tif"/>
</fig>
<sec id="sec7"><label>3.1.</label>
<title><italic>Ex vivo</italic> and <italic>in vitro</italic> models</title>
<p>To identify new ASMs, it is key to employ a wide range of appropriate experimental approaches, including alternatives models. Thus, the establishment of these models/platforms ensures improved validity and relevance for their clinical use. Several alternatives to classical animal models based on <italic>ex vivo</italic> and <italic>in vitro</italic> models are currently available and being developed in the field of epilepsy.</p>
<sec id="sec8"><label>3.1.1.</label>
<title>Organotypic brain slice cultures</title>
<p>Unlike conventional primary cell cultures, that allow the study of single cell populations, OSCs enable the simultaneous analysis of different cell types in a three-dimensional model, with preservation of some structural and synaptic organization features of the original tissue (<xref ref-type="bibr" rid="ref74">74</xref>, <xref ref-type="bibr" rid="ref75">75</xref>).</p>
<p>In addition, OSCs allow the assessment of many aspects of relevance for the study of epilepsy and ASMs. Neurodegeneration, a possible consequence of seizures (<xref ref-type="bibr" rid="ref76">76</xref>), can be evaluated through propidium iodide or other stainings, or even by measuring the levels of lactate dehydrogenase released to the medium (<xref ref-type="bibr" rid="ref77">77</xref>). OSCs can be very useful to perform procedures that, although possible, are normally more challenging to carry out <italic>in vivo</italic>, including long-term live imaging (<xref ref-type="bibr" rid="ref75">75</xref>), or electrophysiology (<xref ref-type="bibr" rid="ref78">78</xref>). Recombinant adeno-associated viruses, commonly used to generate disease models <italic>in vivo</italic> (<xref ref-type="bibr" rid="ref79">79</xref>, <xref ref-type="bibr" rid="ref80">80</xref>) can also be used to generate disease models in OSCs (<xref ref-type="bibr" rid="ref78">78</xref>) and different compounds can be added into the culture medium to study them (<xref ref-type="bibr" rid="ref81">81</xref>). As previously mentioned, they can support all the cell types found in the CNS, and therefore changes in cell types other than neurons, like glia and vascular cells, can also be studied.</p>
<p>Moreover, the use of OSCs significantly decreases the number of animal experiments that are considered severe, thereby promoting the principles of the 3Rs&#x2014;reduce, refine, and replace (<xref ref-type="bibr" rid="ref74">74</xref>).</p>
<p>However, many aspects of brain slice preparation can affect their viability and might influence neuronal connections. These aspects have been previously reviewed in detail by the ILAE (<xref ref-type="bibr" rid="ref82">82</xref>). Briefly, the survival of the neurons depends on a variety of factors, including the species and age of the animal, the brain area selected, the medium composition and thinning of the slice. Nevertheless, contrary to what is observed in acute slices, where projection fibers are severed during the preparation, in OSCs the extended maintenance of the slices in an incubator with access to a cultured medium can produce a relatively stable cell viability, resulting in a long lifespan. Additionally, there is a significant synaptic rearrangement during the regrowth after slicing-induced deafferentation, but the properties of synaptic transmission are overall maintained (<xref ref-type="bibr" rid="ref82">82</xref>).</p>
<p>Many brain areas have been used for OSCs, such as hippocampus, cortex, cerebellum and brainstem structures. In particular, organotypic hippocampal slice cultures have been broadly used to study epilepsy, because they allow for thorough and controlled investigation of the mechanisms behind epileptogenesis, while keeping the network phenotypic characteristics of epilepsy, especially the development of spontaneous seizures (<xref ref-type="bibr" rid="ref83">83</xref>, <xref ref-type="bibr" rid="ref84">84</xref>). The most commonly used method for the preparation of organotypic hippocampal slice cultures was first described by Stoppini et al. (<xref ref-type="bibr" rid="ref85">85</xref>) and later detailed by De Simoni and Yu (<xref ref-type="bibr" rid="ref86">86</xref>).</p>
<p>Brain preparations derived from a variety of mammalian species, including rabbits, guinea pigs, rats, mice, and humans, have been shown to induce <italic>in vitro</italic> epileptiform activity (<xref ref-type="bibr" rid="ref82">82</xref>). Most OSCs are generated from mice or rats before postnatal day 12, since at this developmental stage, the brain&#x2019;s cytoarchitecture is well-established. Furthermore, the larger size of the brain at this stage makes it easier to handle, which allows neuronal cells to survive explantation. Additionally, explanted neuronal cells at this age exhibit greater plasticity, making them more resistant to the mechanical trauma that can occur when cutting neuronal processes (<xref ref-type="bibr" rid="ref86">86</xref>).</p>
<p>Although most of the OSCs are generated from mice or rats, they have also been successfully established from tissue of adult patients. This represents a very good alternative to animal models since it allows to perform basic functional and mechanistic studies in a completely homologous model. Moreover, human OSCs preserve the complex neuronal cytoarchitecture and electrophysiological properties of human pyramidal neurons (<xref ref-type="bibr" rid="ref87">87</xref>). However, it requires the availability of human tissue obtained from neurosurgery for refractory epilepsy (<xref ref-type="bibr" rid="ref88">88</xref>). An example is the model of temporal lobe epilepsy in which the characteristic morphology and pathological activities are preserved, and epileptiform activities can be modulated by the addition of glutamatergic and GABAergic receptor antagonists (<xref ref-type="bibr" rid="ref83">83</xref>).</p>
</sec>
<sec id="sec9"><label>3.1.2.</label>
<title>Induced pluripotent stem cells</title>
<p>iPSC technology has considerable potential for toxicity and efficacy drug screening and disease modeling, allowing the generation, growth, and study of human cells without the need for invasive isolation procedures or extensive ethical approval (<xref ref-type="bibr" rid="ref89">89</xref>). Somatic cells obtained from patients can be reprogrammed to a pluripotent stem cell state which can then be differentiated into a broad range of different cell types, including neurons and glia (<xref ref-type="bibr" rid="ref90">90</xref>, <xref ref-type="bibr" rid="ref91">91</xref>). iPSCs can be produced in about a month, and therefore, it is possible to rapidly generate a model with patient specific mutations with a lower cost than a mouse model. This is particularly relevant in epilepsy due to the heterogeneous nature of genetic epilepsies, with more than 500 loci listed as potentially causative when mutated and in some cases, such as in SCN1A-related epilepsies, over 1,250 distinct mutations identified in patients (<xref ref-type="bibr" rid="ref92">92</xref>).</p>
<p>Several functional and molecular approaches can be used for the phenotyping of patient iPSC-derived neurons. Most of them are directed to study neuronal excitability, such as patch-clamp recording, which provides direct single cell measurements of electrical activity, multielectrode arrays (MEAs), for the measurement of electrical activity of a network of cultured neurons for extended periods, fluorescent assays of intracellular calcium or membrane voltage, and all-optical electrophysiology methods that allow high throughput studies. Other approaches for the phenotyping of iPSCs-derived neurons in the context of epilepsy include live cell imaging and omics studies (<xref ref-type="bibr" rid="ref93">93</xref>).</p>
<p>Despite being a good model to study epilepsy, they also present some limitations. iPSC lines can have variable expression profiles and differentiation potential (<xref ref-type="bibr" rid="ref92">92</xref>). In addition, it is very challenging to recapitulate the complexity of the brain and, despite the efforts to create brain circuits in 2D culture using iPSC-derived neural cells, the circuitry is still very different from the complex brain neuronal network. This is now improving thanks to the development of brain organoids made using 3D culturing technology (<xref ref-type="bibr" rid="ref94">94</xref>).</p>
<p>Multiple patient-specific iPSCs derived disease models exist, generated from patient&#x2019;s cells carrying specific mutations (<xref ref-type="bibr" rid="ref95">95</xref>). These models have shown altered neuronal morphology, including soma size, neurite outgrowth, formation of synapse, and length of dendritic spine (<xref ref-type="bibr" rid="ref92">92</xref>). The first <italic>in vitro</italic> model from a Dravet patient with a mutation in the SCN1A locus demonstrated how the primary cause of epileptogenesis seems to be the loss of function in GABAergic inhibition (<xref ref-type="bibr" rid="ref96">96</xref>). After that, different studies have been published studying different mutations in the gene SCN1A (<xref ref-type="bibr" rid="ref97">97</xref>, <xref ref-type="bibr" rid="ref98">98</xref>). Other diseases have also been successfully modeled using patient iPSCs, including Rett syndrome (<xref ref-type="bibr" rid="ref99">99</xref>, <xref ref-type="bibr" rid="ref100">100</xref>) and Angelman syndrome (<xref ref-type="bibr" rid="ref101">101</xref>) among others (<xref ref-type="bibr" rid="ref92">92</xref>). These advancements have broadened the understanding of the disease etiology and pathology and set an extraordinary basis for the application of personalized medicine by developing targeted therapeutic strategies (<xref ref-type="bibr" rid="ref102">102</xref>). In parallel to the development of iPSC, great advances in gene editing technologies have been made. This coincidence has considerably contributed to a fast expansion in the understanding of neurological disorders (<xref ref-type="bibr" rid="ref103">103</xref>). CRISPR/Cas9 in iPSCs can be used to generate new models of various disorders, such as Alzheimer&#x2019;s (<xref ref-type="bibr" rid="ref104">104</xref>) and to generate isogenic pairs, which differ only by a single genetic modification, and are powerful tools to understand gene function. Furthermore, genome-wide CRISPR screens enable high-throughput investigation for genetic modifiers, opening up new pathways and revealing potential therapeutic targets (<xref ref-type="bibr" rid="ref103">103</xref>).</p>
<p>CRISPR/Cas9 in human iPSCs was first used in epilepsy to generate a loss of function SCN1A mutation in order to gain more knowledge on DS. In this study, they fluorescently labeled GABAergic iPSC-derived neurons using CRISPR/Cas9 and studied their electrophysiology and the postsynaptic activity of inhibitory and excitatory neurons. They described a reduction in the amplitudes and an enhancement of the thresholds of action potential in patient-derived GABAergic neurons, together with a change in the postsynaptic activity from inhibitory to excitatory. These results further contributed to the previous knowledge on the physiological basis underlying epileptogenesis caused by SCN1A loss-of-function mutation (<xref ref-type="bibr" rid="ref105">105</xref>). This strategy has been thereafter applied in several other studies, including more on the SCN1A gene (<xref ref-type="bibr" rid="ref106">106</xref>), but also in other models of epilepsy, like in a model of KCNQ2 encephalopathy (<xref ref-type="bibr" rid="ref95">95</xref>, <xref ref-type="bibr" rid="ref107">107</xref>). In this last study, they used patient iPSC-derived neurons and generated an isogenic mutation-corrected control line using CRISPR/Cas9, so that they could link phenotypic changes to the disease associated variant. They discover a functional enhancement of Ca<sup>2+</sup>- activated K<sup>+</sup> channels, a rapid action potential repolarization and a larger post-burst afterhyperpolarization in the patient-derived neurons in comparison to the isogenic control ones. Once again, the combination of CRISPR/cas9 technology and iPSCs resulted in new findings that add to the previous knowledge on the disease mechanisms.</p>
</sec>
<sec id="sec10"><label>3.1.3.</label>
<title>Brain organoids</title>
<p>Brain organoids are organized structures composed of progenitor, neuronal, and glial cell types that closely resemble the architecture of the fetal human brain. Reprogrammed human iPSCs could undergo a self-organization process (<xref ref-type="bibr" rid="ref108">108</xref>). To induce the formation of neural rosette structures, 3D aggregation of pluripotent stem cells, including both human iPSCs and ESCs, is facilitated in the presence of neural induction molecules, crucial step in the generation of brain organoids (<xref ref-type="bibr" rid="ref109">109</xref>). Under optimal conditions, these cellular aggregates undergo self-organization, leading to the development of more complex and differentiated structures known as cerebral or brain organoids (<xref ref-type="bibr" rid="ref110">110</xref>, <xref ref-type="bibr" rid="ref111">111</xref>).</p>
<p>Brain organoids replicate the human brain&#x2019;s tissue structure and developmental pathway, in addition to its cellular composition, making them distinct from conventional two-dimensional (2D) cell cultures. As a result, they offer a unique opportunity to model human brain development and function, which may not be directly testable in direct experimentation (<xref ref-type="bibr" rid="ref112">112</xref>). As with iPSCs, recent advances in genome editing, high-throughput single cell transcriptomics and epigenetics, have significantly advanced the use of brain organoids as a tool to study the development, evolution, and diseases of the human brain. This has resulted in a revolutionary expansion of our investigative capabilities (<xref ref-type="bibr" rid="ref112">112</xref>).</p>
<p>In recent years, a novel approach has emerged as a second generation of brain organoids, known as brain assembloids, which offer a promising strategy for modeling human brain development and disease. Assembloids provide a solution by integrating multiple organoids or combining organoids with missing cell types or primary tissue explants (<xref ref-type="bibr" rid="ref113">113</xref>). These assembloids use self-organization enabling complex cell&#x2013;cell interactions, circuit formation, and maturation in long-term culture, distinguishing them from approaches that mix cell lineages in 2D cultures or use engineered microchips (<xref ref-type="bibr" rid="ref114">114</xref>, <xref ref-type="bibr" rid="ref115">115</xref>). The successful growth and functional properties observed in assembloids composed of cortical, hippocampal, and thalamic organoids with active neuronal migration and interaction demonstrate the potential of these flexible, scalable, and controlled microfluidic systems for broad applications in neurological and biomedical research. It is anticipated that these innovative approaches will prove invaluable in unraveling human-specific aspects of neural circuit assembly and in modeling neurodevelopmental disorders using patient-derived cells. The integration of brain assembloids into the scientific landscape holds great promise for advancing our understanding of the human brain and developing targeted therapeutic strategies for neurological disorders as epilepsy (<xref ref-type="bibr" rid="ref114">114</xref>).</p>
<p>Organoids have proven to be a valuable tool for exploring cellular phenotypes related to epilepsy. Nevertheless, the development of seizures and the replication of the electrophysiological properties of the brain in organoids, which are essential components of epilepsy research, are still active areas of investigation (<xref ref-type="bibr" rid="ref116">116</xref>).</p>
<sec id="sec11"><label>3.1.3.1.</label>
<title>Epilepsy progressive myoclonus 1</title>
<p>Di Matteo laboratory performed experiments using cerebral organoids derived from both Epilepsy Progressive Myoclonus 1 (EPM1) patients and healthy individuals (<xref ref-type="bibr" rid="ref117">117</xref>). EPM1, an autosomal recessive disorder, is the most common form of progressive myoclonus epilepsy and associated with mutations in the cystatin B (<italic>CSTB</italic>) gene and its promoter. They found that <italic>CSTB</italic> overexpression in control organoids increases cell proliferation, whereas overexpression of a mutant form of <italic>CSTB</italic> led to its inhibition. Additionally, control organoids exposed to media from mutated organoids (from EPM1 patients) showed a decrease in cell proliferation, whereas media from control organoids rescued the proliferation deficit in EPM1 organoids. Low levels of functional <italic>CSTB</italic> result in an alteration of progenitor&#x2019;s proliferation, premature differentiation, and changes in interneurons migration. This research manifested that the use of derived cerebral organoids provided valuable insights into the cellular and molecular mechanisms underlying this disorder.</p>
</sec>
<sec id="sec12"><label>3.1.3.2.</label>
<title>Developmental epileptic encephalopathies</title>
<p>Developmental epileptic encephalopathies are severe disorders characterized by intractable epileptic seizures and developmental delay where UDP-glucose-6-dehydrogenase (UGDH) gene has been implicated as a critical component, responsible for the conversion of UDP-glucose to UDP-glucuronic acid. Hengel et al. have recently generated cerebral organoids from patients with different mutations in the <italic>UGDH</italic> gene (<xref ref-type="bibr" rid="ref118">118</xref>). Mutant organoids were significantly reduced in size and showed decreased expression of neuronal progenitor markers and proliferative cells. This study using cerebral organoids provides valuable insights into the molecular mechanisms underlying developmental epileptic encephalopathies and suggests potential therapeutic avenues, focusing on nutritional supplements and regulatory interventions. Remarkably, a similar experiment was performed with zebrafish, but <italic>UGDH</italic> mutant zebrafish did not show the same defects, indicating different responses between the organoid and zebrafish models. This fact underscores the importance of studying different models of the disease to gain comprehensive insights, as each model contributes unique aspects to our understanding and contributes to a more holistic understanding of the disease.</p>
</sec>
<sec id="sec13"><label>3.1.3.3.</label>
<title>Additional disorders</title>
<p>Recently some advances in this field have been made, with the successful establishment of brain organoid models of Angelman syndrome showing among other features hyperactive neuronal firing (<xref ref-type="bibr" rid="ref119">119</xref>), and Rett syndrome, with susceptibility to hyperexcitability and recurring epileptiform spikes. This last model was also used to test valproic acid (VPA) and the TP53 inhibitor pifithrin-&#x03B1;(PFT) as possible treatments for this syndrome (<xref ref-type="bibr" rid="ref120">120</xref>). Furthermore, another study succeeded in the development of a brain organoid model of developmental and epileptic encephalopathies (DEE), demonstrating not only the presence of epileptiform activity, but also showing the utility of this model for the molecular study of epilepsy (<xref ref-type="bibr" rid="ref121">121</xref>). Although more studies are needed to enhance the accuracy of these disease models, they are promising tools for the evaluation of future treatments in epilepsy.</p>
</sec>
<sec id="sec14"><label>3.1.3.4.</label>
<title>Therapeutics testing with brain organoids</title>
<p>Brain organoids provide a unique and valuable platform for gaining insight into complex neurological diseases. However, the current state of organoids is characterized by their simplicity and as a consequence of being <italic>in vitro</italic> models, the knowledge derived from them may carry intrinsic limitations. While brain organoids are valuable models, they have certain limitations in recapitulating the complex tissue structure and functions of the human brain, particularly with respect to the choroid plexus (ChP). The ChP plays an important role in cerebrospinal fluid (CSF) secretion and the formation of the blood-CSF barrier. To overcome this limitation, researchers have made efforts to establish human ChP organoids capable of simulating selective barrier properties and CSF-like fluid secretion within self-contained compartments. An exciting feature of these ChP-CSF organoids is that they exhibit similar small molecule selectivity as observed <italic>in vivo</italic> (<xref ref-type="bibr" rid="ref122">122</xref>). This property makes them valuable tools for predicting the CNS permeability of new compounds. Given the growing demand for more effective CNS drugs, it is critical to avoid the shortcomings of drug candidates that enter clinical trials only to fail due to lack of efficacy, limited CNS penetration, or translatability issues from animal models.</p>
<p>Further technological development is required to advance the field and increase the utility of brain organoids as reliable models. Efforts toward accelerating functional maturation to more closely resemble the <italic>in vivo</italic> state, as well as incorporating additional cell and tissue types, should be directed toward creating more comprehensive and faithful representations of the human brain. These advances will contribute significantly to the reliability and relevance of brain organoids in the study of neurological disorders (<xref ref-type="bibr" rid="ref112">112</xref>).</p>
</sec>
</sec>
</sec>
<sec id="sec15"><label>3.2.</label>
<title>The zebrafish model</title>
<p>While the zebrafish model has been extensively used in classic developmental studies for many years, in particular in neurodevelopment (<xref ref-type="bibr" rid="ref123">123</xref>), in the last two decades it is being exploited for target validation and drug screening (<xref ref-type="bibr" rid="ref124">124</xref>, <xref ref-type="bibr" rid="ref125">125</xref>).</p>
<p>Zebrafish provides a large variety of possibilities in order to explore the underlying principles of seizure generation in multiple epilepsy models (<xref ref-type="bibr" rid="ref126">126</xref>). With their small size, high breeding rate, rapid development and relatively low maintenance costs, in addition to their ability to take up compounds from the water surrounding them, zebrafish larvae are particularly suited to perform high-throughput phenotype-based drug screening (<xref ref-type="bibr" rid="ref127">127</xref>). In addition, zebrafish exhibit genetic similarities with humans and present numerous advantages for genetic manipulation. Advanced and efficient genome manipulation techniques have facilitated the creation of models for various genetic epilepsies and disorders where seizures are a primary symptom (<xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref127">127</xref>). Moreover, zebrafish larvae possess analogous brain structures to those present in mammals and exhibit a diverse range of complex behaviors, which can be susceptible to seizures, within just a few days post-fertilization (<xref ref-type="bibr" rid="ref128">128</xref>).</p>
<p>Cortical and subcortical structures of zebrafish larvae are conserved and maintained in relation to their characteristic cellular features and main connections. The main sections in which zebrafish brain is subdivided include forebrain, midbrain and hindbrain/spinal cord. During early development, further subdivisions occur, giving rise to specialized structures in the adult brain which can also be found in rodent models and humans: pallium, subpallium, thalamus, and cerebellum (<xref ref-type="bibr" rid="ref70">70</xref>). Moreover, some structures are highly homologous between humans and zebrafish, including the habenula (<xref ref-type="bibr" rid="ref129">129</xref>), striatum, basal ganglia (<xref ref-type="bibr" rid="ref130">130</xref>, <xref ref-type="bibr" rid="ref131">131</xref>), and cerebellum (<xref ref-type="bibr" rid="ref132">132</xref>).</p>
<p>The similarities between zebrafish and mammalian (human and rodent) models are remarkable, both in terms of general brain organization and cellular morphology (<xref ref-type="bibr" rid="ref128">128</xref>). In particular, the zebrafish amygdala and habenula are involved in affection-related behaviors, mirroring human data on these brain structures. The habenula, a group of nuclei in the epithalamus, plays a role in regulating the release of serotonin and dopamine (<xref ref-type="bibr" rid="ref133">133</xref>), making it an experimentally feasible system for dissecting vertebrate brain circuits (<xref ref-type="bibr" rid="ref134">134</xref>). This conservation allows for the study of brain substrates in zebrafish and their translational value for the study of pathological behavior, as habenular hyperactivity has been observed in humans with depression and in rodent models of this disorder (<xref ref-type="bibr" rid="ref135">135</xref>).</p>
<p>In terms of brain neurochemistry, zebrafish share a highly conserved profile with humans and rodents. They possess all major neuromediator systems, including neurotransmitter receptors, transporters, and enzymes involved in synthesis and metabolism (<xref ref-type="bibr" rid="ref136 ref137 ref138">136&#x2013;138</xref>).</p>
<p>Zebrafish also have well-developed functional neuroendocrine systems, analogous to those found in mammals. The neuroendocrine system remains conserved in zebrafish (ZF) and for hypothalamus development, the same genes as in mammals are employed. Additionally, the majority of neuropeptidergic systems and neurotransmitters exist in this model (<xref ref-type="bibr" rid="ref139">139</xref>, <xref ref-type="bibr" rid="ref140">140</xref>). Stress responses in zebrafish, similar to humans, are mediated by cortisol, which is activated by hypothalamic&#x2013;pituitary hormones and acts through glucocorticoid receptors (<xref ref-type="bibr" rid="ref141">141</xref>, <xref ref-type="bibr" rid="ref142">142</xref>). Zebrafish cortisol responses closely resemble behavioral indicators of stress and can be genetically and pharmacologically modulated (<xref ref-type="bibr" rid="ref141 ref142 ref143">141&#x2013;143</xref>). These similarities make zebrafish a valuable model for studying CNS disorders.</p>
<p>In order to study epilepsy, zebrafish allow the performance of multiple bioassays. Notable advantages include the capacity to perform <italic>in vivo</italic> brain imaging through activity-dependent fluorescent/bioluminescent reporters, EEG recordings in both larval and adult fish, and high-throughput behavioral analysis by means of automated video tracking systems (<xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref144">144</xref>). Regarding seizure evaluation, zebrafish has the ability to mimic motor behaviors observed in humans, including changes in swimming patterns and body shaking (<xref ref-type="bibr" rid="ref58">58</xref>).</p>
<p>Overall, taking into account all these characteristics, the zebrafish model is suitable for investigating the source of these disorders as well as the series of events leading to their onset. Additionally, it serves as a high-throughput <italic>in vivo</italic> drug screening platform for compounds with anti-seizure potential (<xref ref-type="bibr" rid="ref58">58</xref>).</p>
<sec id="sec16"><label>3.2.1.</label>
<title>Pharmacological models (PTZ and kainic acid)</title>
<sec id="sec17"><label>3.2.1.1.</label>
<title>Pentylenetetrazole model</title>
<p>The PTZ model was first described in zebrafish in the early 2000 (<xref ref-type="bibr" rid="ref145">145</xref>). Consecutive studies then concluded that zebrafish larvae at 7&#x2009;days post fertilization (dpf) exhibit electrophysiological, behavioral and molecular changes similar to the rodent PTZ models (<xref ref-type="bibr" rid="ref58">58</xref>, <xref ref-type="bibr" rid="ref146">146</xref>). In rodents, the dose of PTZ required to induce seizures may vary depending on factors such as strain, sex, age, and route of administration (primarily intraperitoneal injection). PTZ is primarily used as a screening tool for ASDs in rodents rather than to study the pathophysiology of epilepsy. Different types of seizures are reproduced at different doses of PTZ, with low doses inducing absence seizures and higher doses inducing generalized tonic&#x2013;clonic seizures. Commonly used protocols for PTZ administration in mice during antiseizure drug screening aim to induce clonic seizures lasting at least 5&#x2009;s in at least 97% of animals within 30&#x2009;min (<xref ref-type="bibr" rid="ref147">147</xref>, <xref ref-type="bibr" rid="ref148">148</xref>). Similar to rodents, PTZ in the ZF is considered a model for generalized seizures, particularly absence and generalized tonic&#x2013;clonic seizures.</p>
<p>Zebrafish larvae are capable of eliciting seizure-like behavior when immersed in a volume containing PTZ. This compound is absorbed by the gills, gut or skin and eventually reaches the brain (<xref ref-type="bibr" rid="ref58">58</xref>). Within seconds or minutes, switches in locomotor activity are detected. These movements are characterized by a series of events, starting from Stage I, consisting of accelerated movements around the periphery of the behavioral chamber. During stage 2, ZF larvae perform &#x201C;whirlpool-like&#x201D; movements. The epileptic behavior concludes with stage 3, which takes place in case of high PTZ concentrations. ZF larvae experience loss of posture, rapid and uncontrolled movements, intermittent pauses and occasional stiffening of the body (<xref ref-type="bibr" rid="ref145">145</xref>). The locomotor behavior induced by PTZ displays a correlation with the electrical activity of the brain determined by EEG. This behavior is characterized by spontaneous epileptiform discharges, which manifest variations in frequency, amplitude and duration depending on the timing of PTZ exposure (<xref ref-type="bibr" rid="ref145">145</xref>).</p>
<p>This model has enabled the standardization of simple locomotion assessments (tracked using software analysis) and electrophysiological tests for quantifying and monitoring seizures in zebrafish larvae (<xref ref-type="bibr" rid="ref146">146</xref>). Subsequently, the zebrafish PTZ model has gained popularity in laboratories worldwide and has demonstrated consistency with the rodent PTZ models in validating antiepileptic drug candidates. This emphasizes the importance of zebrafish as a fast and robust model for ASMs screening (<xref ref-type="bibr" rid="ref149">149</xref>).</p>
<p>Multiple ASMs with known effect in the rodent PTZ model, have been tested in zebrafish. During the study performed by Gupta et al., ZF were exposed for 15&#x2009;min to a 6&#x2009;mM PTZ solution co incubated with standard ASMs in order to monitor their anti-seizure activity (<xref ref-type="bibr" rid="ref150">150</xref>). These compounds were valproic acid, carbamazepine, diazepam, gabapentin, carbamazepine, pregabalin and lacosamide. Lacosamide, valproic acid, gabapentin, carbamazepine and diazepam presented a concentration dependent increase in latency during all stages of seizures. For lacosamide it was significant at 100&#x2009;&#x03BC;M to 3&#x2009;mM, for valproic acid at 300&#x2009;&#x03BC;M to 10&#x2009;mM, for gabapentin at 1&#x2013;10&#x2009;mM, carbamazepine at 10&#x2013;100&#x2009;&#x03BC;M and diazepam 30&#x2013;100&#x2009;&#x03BC;M (<xref ref-type="bibr" rid="ref150">150</xref>). Pregabalin by contrast, did not increase seizure latency compared to the vehicle control (PTZ 6&#x2009;mM).</p>
<p>Efficacy data of ASMs obtained from the zebrafish model compares to the rodent one. Carbamazepine at 20&#x2009;mg/kg, sodium valproate at 300&#x2009;mg/kg, diazepam at 1&#x2009;mg/kg were tested in this rodent model and showed protection from clonic seizures (<xref ref-type="bibr" rid="ref151">151</xref>). Pregabalin tested at 200&#x2009;mg/kg did not cause a significant reduction of clonic seizures compared to the vehicle control, as described in the PTZ zebrafish model (<xref ref-type="bibr" rid="ref150">150</xref>).</p>
</sec>
<sec id="sec18"><label>3.2.1.2.</label>
<title>Kainic acid, novel model by pericardial injection</title>
<p>Kainic acid (KA) is defined as a potent agonist of AMPA/KA glutamatergic receptors. It induces network reorganization, excitotoxicity and neuronal death in different brain regions. Since it produces acute seizures in rodents through systemic injections and recurrent seizures mimicking a chronic model of temporal lobe epilepsy by intracerebral injections, it is a widely utilized proconvulsant drug (<xref ref-type="bibr" rid="ref48">48</xref>, <xref ref-type="bibr" rid="ref58">58</xref>).</p>
<p>KA is considered a model in adult ZF that is reported to reproduce seizures, similar to its use in rodents (<xref ref-type="bibr" rid="ref152">152</xref>). In ZF, the majority of KA studies have been conducted in adult animals. In these studies, KA is administered intraperitoneally to induce seizure-like behavior, resulting in clonic convulsions observed in all ZF treated at a dose of 6&#x2013;8&#x2009;mg/kg (<xref ref-type="bibr" rid="ref152">152</xref>). It is noteworthy that these doses are comparable to those commonly used in rodent models (6&#x2013;15&#x2009;mg/kg) (<xref ref-type="bibr" rid="ref153">153</xref>).</p>
<p>Previous efforts in order to trigger seizures in zebrafish larvae by incubating them in KA solution failed to produce the desired seizure phenotype. According to the study performed by Kim et al. (<xref ref-type="bibr" rid="ref154">154</xref>), KA perfusion by means of artificial cerebrospinal fluid immediately led to local electrographic brain discharges. Additionally, Alfaro et al. (<xref ref-type="bibr" rid="ref152">152</xref>) observed that adult zebrafish intraperitoneally injected with KA presented convulsions mimicking clonus. The results of these studies imply that the high hydrophilicity of KA prevents ZF larvae from efficiently absorbing it when dissolved in tank water (<xref ref-type="bibr" rid="ref155">155</xref>).</p>
<p>In 2021, a novel KA model was introduced in zebrafish larvae (<xref ref-type="bibr" rid="ref155">155</xref>). This KA-induced zebrafish epilepsy model is achieved by intrapericardial injection of KA in 3dpf zebrafish larvae. Due to a shift in balance between GABAergic inhibition and glutamatergic excitation, larvae show whole brain abnormalities and involuntary seizure-like movement patterns shortly after injection. After the latency phase, larvae also experience epileptiform brain discharges (<xref ref-type="bibr" rid="ref155">155</xref>). Following treatment with commonly used ASMs, as topiramate 100 &#x03BC;M, tiagabine 100 &#x03BC;M and carbamazepine 100 &#x03BC;M, a reduction in epileptiform discharges was observed while none of the compounds tested decreased seizure-like behavior (<xref ref-type="bibr" rid="ref155">155</xref>). Multiple ASMs were also tested in the kainate mouse model of mesial temporal lobe epilepsy obtained by unilateral injection of kainate into the dorsal hippocampus (<xref ref-type="bibr" rid="ref156">156</xref>). All the compounds tested: valporate (300&#x2009;mg/kg), lamotrigine (90&#x2009;mg/kg), carbamazepine (75&#x2009;mg/kg), levetiracetam (600&#x2009;mg/kg), pregabalin (50&#x2009;mg/kg), phenobarbital (20&#x2009;mg/kg), diazepam (1&#x2009;mg/kg), tiagabine (0.3&#x2009;mg/kg), and vigabatrin (50&#x2009;mg/kg) acutely reduced the occurrence of hippocampal paroxysmal discharges (<xref ref-type="bibr" rid="ref156">156</xref>).</p>
<p>The kainic model described above, provides useful insights into the mechanisms of seizures and epileptogenic processes and could possibly be applicable in the future for the discovery of novel therapeutics including disease-modifying strategies in the fight against drug-resistant epilepsies (<xref ref-type="bibr" rid="ref155">155</xref>).</p>
</sec>
</sec>
<sec id="sec19"><label>3.2.2.</label>
<title>Genetic models</title>
<p>Another common approach for epilepsy studies is based on the modulation of epilepsy-associated genes. The rodent brain has a long maturation time, which makes it challenging to determine the optimal timing for pharmaceutical intervention in epilepsy studies, even with various rodent genetic models available. In contrast, using zebrafish epilepsy models could be more useful in researching the epileptogenic pathway related to genetic abnormalities. Also, since most genetic epilepsy syndromes occur in childhood, studying larval zebrafish can be an effective method to monitor brain development.</p>
<p>Given the rather recent inclusion of the zebrafish in epilepsy research, in most cases the widespread antisense morpholino strategy has been used for disease in early days. Through this methodology the knockdown of several genes such as <italic>kcnj10</italic> (<xref ref-type="bibr" rid="ref157">157</xref>, <xref ref-type="bibr" rid="ref158">158</xref>), <italic>kcnq3</italic> (<xref ref-type="bibr" rid="ref159">159</xref>), <italic>stx1b</italic> (<xref ref-type="bibr" rid="ref160">160</xref>), <italic>chd2</italic> (<xref ref-type="bibr" rid="ref16">16</xref>, <xref ref-type="bibr" rid="ref161">161</xref>) has been reported to induce severe behavioral alterations (epileptic discharges, poly-spikes, paroxysmal discharges). Nevertheless, given the variable results that might be obtained comparing studies in mutants and morphants (<xref ref-type="bibr" rid="ref162">162</xref>) mostly due to genetic compensation mechanisms induced by loss-of-function mutations and mutant mRNA degradation (<xref ref-type="bibr" rid="ref163">163</xref>, <xref ref-type="bibr" rid="ref164">164</xref>) the gold standard model for zebrafish epilepsy research is a mutant line carrying a loss-of-function mutation in domain III of the voltage-gated sodium channel <italic>scn1Lab</italic> (<xref ref-type="bibr" rid="ref165">165</xref>). The zebrafish gene, <italic>scn1Lab</italic>, is highly homologous to the human gene SCN1A, with 77% of DNA identity. In the developing zebrafish brain, <italic>scn1Lab</italic> is expressed widely, especially in the forebrain, optic tectum, and cerebellum. Frameshift or missense mutation in this gene can lead to the onset of DS, a severe form of genetic pediatric epilepsy that causes developmental disabilities and persistent drug-resistant seizures. <italic>scn1Lab</italic> gene disruption in zebrafish is able to recapitulate human epileptic phenotypes. Specifically, zebrafish with a mutated <italic>scn1Lab</italic> gene show spontaneous seizures detected through electrophysiological recordings, similar to epilepsy in humans. When challenged with a light dark (LD) transition assay, mutant zebrafish exhibit abnormal locomotor patterns, with consistently higher activity levels (hyperlocomotion) compared to their wild-type siblings. In the pioneer study where the mutant was characterized (<xref ref-type="bibr" rid="ref165">165</xref>), the model was challenged with over 300 compounds in a phenotype-based screening. As a result, Clemizole (EPX-100), an FDA-approved compound with anti-histaminic properties, was found to be effective in inhibiting seizures in the mutant fish and has passed through phase I clinical trials as an &#x201C;add-on treatment&#x201D; for DS. Starting from this success case, other drug repurposing screening have been conducted using the <italic>scn1Lab</italic> mutant and identified several drugs like fenfluramine (<xref ref-type="bibr" rid="ref144">144</xref>) (now FDA-approved as Fintepla<sup>&#x00AE;</sup>), synthetic cannabinoids (<xref ref-type="bibr" rid="ref166">166</xref>) (similar to the FDA-approved cannabidiol Epidiolex<sup>&#x00AE;</sup>), trazodone (Desyrel<sup>&#x00AE;</sup>), and lorcaserin (Belviq<sup>&#x00AE;</sup>) (<xref ref-type="bibr" rid="ref167">167</xref>), which have also shown promise in treating DS in zebrafish experiments. These findings demonstrate how quickly discoveries in zebrafish can lead to potential clinical treatments for DS.</p>
<p>Although the aforementioned repurposing studies are based on the use of the same genetic mutant background, the advent of CRISPR/Cas9 and the continuous refinement of the technologies based on this system offer now the possibility of inducing mutations with high efficiency in human epilepsy-associated genes. Along this line, in a recent study (<xref ref-type="bibr" rid="ref168">168</xref>) a range of loss-of-function single gene mutations identified through genome wide association (GWAS) represented the starting point for the generation of 37 mutant zebrafish lines carrying deletions in the selected loci. Among these, 8 lines (homozygous mutant for <italic>arxa</italic>, <italic>eef1a2</italic>, <italic>gabrb3</italic>, <italic>pnpo</italic>, <italic>scn1lab</italic>, <italic>strada</italic>, and <italic>stxbp1b</italic> and heterozygous for <italic>grin1b</italic>) result in recurrent electrographic seizures, thus opening new avenues for the study of the pathophysiology of rare disease and at the same time expanding the portfolio of lines that can be used for high-throughput screenings of ASMs.</p>
<p>Despite the fact that the generation of isogenic lines is crucial for the assessment of loss of function phenotypes, the time required for the obtention of mutant lines, including husbandry of fish, crossing for two generations and genotyping does not meet the current needs of personalized therapy based on genetic background of the affected individuals. Indeed, new genetic targets and genomic variants involved in epilepsy pathophysiology are being identified quickly through large-scale exome sequencing studies of cohorts of patients. This requires the development of high-throughput methods for timely generation of animal disease models to test the efficacy of compounds modulating these targets. To reduce the generation time for genetic target validation and the characterization of loss-of-function alleles in zebrafish, a variety of CRISPR/Cas9-based methods have been improved. The continuous refinement of single guide RNA (sgRNA) and Cas9 synthesis for the targeting of genes of interest has reached such efficiency that it is possible to induce gene loss-of-function already in the F0 generation. This is achieved by induction of high rates of open reading frame disruption mutations in microinjected zebrafish embryos, which are somatic mutants or CRISPANTs (<xref ref-type="bibr" rid="ref169">169</xref>, <xref ref-type="bibr" rid="ref170">170</xref>). This transient approach makes it possible to directly identify and analyze mutant phenotypes and shortens the time and expense needed to achieve homozygosis in the F2 generation.</p>
<p>CRISPANTs models have been generated for human indications (<xref ref-type="bibr" rid="ref9">9</xref>), epilepsy being one of them. Indeed, in a recent report (<xref ref-type="bibr" rid="ref171">171</xref>), the behavioral fingerprint, intended as multiparametric analysis of larval behavior derived by tracking the animals over time, of <italic>scn1lab</italic> zebrafish homozygous mutant and F0 CRISPANTs for the same gene have been compared. Interestingly, the F0 knockouts phenotypes highly correlated with the mutant phenotype, being the behavioral fingerprint of both groups significantly different from their wildtype counterpart.</p>
<p>The use of CRISPANTs could be crucial for the high-throughput generation of novel zebrafish epilepsy mutants and allow antiepileptic drug screening already in F0 larvae, enabling fast-track personalized treatment design.</p>
<p>At the same time, a wide array of strategies has been developed, in order to precisely insert human mutations into the zebrafish genome. The gold standard technique for precise gene modification is based on Homologous directed repair (HDR), which involves the use of template DNA carrying the desired sequence change to substitute the sequence at the target locus following a double-strand break (DSB) by the CRISPR/Cas9 system (<xref ref-type="bibr" rid="ref172">172</xref>). HDR-genome editing, however, is linked to significant amounts of off-target mutations and insertions/deletions byproducts. To overcome these issues, base editing, which uses a DNA C or A deaminase enzyme coupled to the Cas9 nickase protein to install precise modifications without the need for donor DNA or DSBs (<xref ref-type="bibr" rid="ref173">173</xref>), was firstly developed and it has shown a great efficiency even in F0 in zebrafish larvae (<xref ref-type="bibr" rid="ref174">174</xref>). Finally, a key breakthrough in the field of genome editing is the Prime editing (<xref ref-type="bibr" rid="ref175">175</xref>). This technique is based on the fusion of a Cas9 nickase to a Reverse Transcriptase. In this case, the sequence of interest is copied into the target locus by reverse transcription of an RNA template sequence, thus avoiding double strand break and drastically reducing unintended DNA mutations at the target locus. The implementation of Prime editor proteins in zebrafish has led to promising results, with relatively high percentages (up to 30%) of correct edits in F0 embryos (<xref ref-type="bibr" rid="ref176">176</xref>).</p>
<p>All these strategies are being employed at a fast pace and already allowing the development of humanized zebrafish in a short time frame, thus paving the ground for future customized high-throughput drug screenings.</p>
</sec>
</sec>
</sec>
<sec id="sec20"><label>4.</label>
<title>Discussion and future perspectives on the use of alternative models</title>
<p>More than 20&#x2009;years have passed since the signing of the Bologna declaration in 1999, at the third World Congress on Alternatives to the Use of Animals in the Life Sciences. The proclamation established the requirement to abolish cruelty in science before it could be applied to humans, encouraging the strict implementation of the 3Rs (replace, reduce, and refine) in processes involving laboratory animals. Since then, there have been many changes that have occurred in the regulation of animal experimentation and advances in the search for and validation of alternative models.</p>
<p>Here, we have presented some of the alternatives to current methods applied to epilepsy research. Although the classic models greatly contributed to the development of multiple drugs to treat epilepsy, there is still a high percentage of patients with no seizure control, partly due to the development of drug resistance, but also to the lack of accurate models to study the mechanisms underlying epileptogenesis. The continuous advances in the development of NAMs (new approach methodologies) has the potential to fill this gap in epilepsy research, while contributing to the implementation of the 3Rs. Moreover, the success in the use of Clemizole in a zebrafish model of DS and other drug repurposing screenings (<xref ref-type="bibr" rid="ref144">144</xref>, <xref ref-type="bibr" rid="ref165">165</xref>, <xref ref-type="bibr" rid="ref166">166</xref>), has proved the benefit of the use of novel model to translate the results into potential clinical treatments.</p>
<p>Nevertheless, a consistent change in animal experimentation pushing forward the 3R principle in neurological disorders and other human indications can be achieved only with a strong coordinated effort led by governmental agencies, international institutions, pharmaceutical and chemical industry, academia and animal welfare organizations.</p>
<sec id="sec21"><label>4.1.</label>
<title>Advancements in regulation of use of NAMs in research</title>
<p>Importantly, the use of NAMs such as <italic>in vitro</italic> and non-animal models, some of which we have presented in this overview, is gradually gaining momentum in novel policies adopted by regulatory agencies worldwide. For example, since 2011, the European Medicines Agency (EMA) has supported Directive 2010/63/EU in a number of ways (<xref ref-type="bibr" rid="ref177">177</xref>). One of them is the establishment of the &#x201C;3Rs Working Party&#x201D; (3RsWP), which encourages the adoption of alternative techniques and supports drug developers who are dedicated to minimizing the use of animals during the regulatory process. Organization for Economic Cooperation and Development (OECD) guidelines have been established to assist businesses in creating alternate techniques for determining if chemicals are safe enough to register with the European Chemicals Agency (ECHA). In the USA, the FDA (Food and Drug Administration)'s NCTR (National Center for Toxicological Research) (<xref ref-type="bibr" rid="ref178">178</xref>) division works to develop and validate alternative (<italic>in vitro</italic> and <italic>in silico</italic>) toxicity evaluation techniques. The last step forward on this matter is the FDA Modernization 2.0 Act (<xref ref-type="bibr" rid="ref179">179</xref>), signed by Joe Biden, president of the United States, at the end of 2022. This mandate is groundbreaking since it ends a 1938 federal mandate according to which experimental drugs had to be tested on animals before being used in human clinical trials. Today, the alternative methods accepted by U.S. agencies to reduce or replace experimental animals is as high as 128 (<xref ref-type="bibr" rid="ref180">180</xref>).</p>
</sec>
<sec id="sec22"><label>4.2.</label>
<title>A combinatorial approach for discovery and testing of new ASMs</title>
<p>All these initiatives that suggest an important change in global drug discovery pipelines not restricted to the epilepsy field, raise the questions of how NAMs can eventually completely replace animal experimentation, providing safe treatments for patients in a more ethical and sustainable manner. Here, we have extensively reviewed alternative models for the discovery of novel therapeutics in epilepsy, with their relative advantages and limitations and we do believe that the answer to the aforementioned question relies on a comprehensive approach that integrates data from different methods. A relatively novel concept in toxicity assessment of chemicals for regulatory purposes is based on the IATA, Integrated approaches for testing and assessment (<xref ref-type="bibr" rid="ref181">181</xref>). IATA rely on the combination of a variety of information sources to infer hazard for chemical risk assessment. A similar strategy could be used to evaluate the potential efficacy of novel ASM compounds. Following a IATA framework, the first step would be to collect all available information through a literature review on generated data about the compound of interest, if a repurposing approach is used, or the chemical class, in the case of a newly synthesized molecule. Additional testing using the multiple models presented would help inform on the effect of a compound at different levels of complexity (e.g., molecule, cell, organ, tissue, organism). The individual outcomes deriving from the presented <italic>in vitro</italic>, <italic>ex vivo</italic> or whole organism would be integrated and decision frameworks can be established for the analyzed chemicals. If results are concordant in orthogonal assays with NAMs, the compounds would progress to physiologically based kinetic (PBK) modeling for <italic>In-Vitro</italic>-to-<italic>In-Vivo</italic>-Extrapolation (IVIVE) (<xref ref-type="bibr" rid="ref182">182</xref>, <xref ref-type="bibr" rid="ref183">183</xref>). IVIVE uses physiologically based kinetic (PBK) models to estimate a human equivalent dose that can be compared with estimated human exposures (reverse dosimetry) or estimate internal doses (blood, tissue levels) based on a specified exposure for comparison with <italic>in vitro</italic> bioactive concentrations (forward dosimetry). In this case there would be no need for further animal experiments. When discordant results are obtained, additional tests with NAMs or rodent models, in this case in a much reduced number since extensive information has been generated with previous steps, might be required to take a decision on the tested chemical.</p>
<p>Overall, applying an integrated strategy with data proceeding from multiple sources would greatly reduce and eventually replace animal testing.</p>
<p>It could be expected that the integration of results obtained with experiments in NAMs coupled with the advancements in high-throughput disease modeling via genome editing will enable development of personalized treatment approaches not only in epilepsy but also for other human indications.</p>
<p>Throughout the review, we have mentioned a few strategies to tackle the genetic variability underlying phenotypic heterogeneity of epilepsy among which stable and somatic Knockout generation for loss-of-function alleles, base editing and prime editing for accurate insertion of single nucleotide polymorphisms (SNPs). These methodologies can be either used for disease modeling or for disease-associated mutation corrections for SNPs or even more complex scenarios as repeated expansions. For example, a recent study reported successful excision of hexanucleotide repeat expansions in patient-derived iPSC neurons, brain organoid and mouse models of ALS amyotrophic lateral sclerosis (ALS) and frontotemporal dementia (FTD) (<xref ref-type="bibr" rid="ref184">184</xref>). These tools can be virtually applied in any model of interest for a selected indication, broadening the possibilities to discover novel therapeutics.</p>
<p>To conclude, all these initiatives confirm that we are in a change of era in biomedical research and drug discovery. Over the next 5&#x2009;years, it is likely that the use of cell based models or larval models as zebrafish will continue to grow in research as scientists seek to reduce reliance on traditional animal models and develop more efficient and ethical methods of disease modeling, drug discovery and toxicology testing.</p>
</sec>
</sec>
<sec id="sec23">
<title>Author contributions</title>
<p>CM, MM, DC, GS-E, and VD conceptualized the study and reviewed and edited the manuscript. CM and MM performed bibliographic research. DC conceptualized and prepared the supporting figures. GS-E and VD prepared the original draft. All authors have read and agreed to the published version of the manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="sec24">
<title>Conflict of interest</title>
<p>All authors are employees of ZeClinics SL, a contract research organization using the zebrafish model for research in disease modeling, target validation and drug screening.</p>
</sec>
<sec id="sec100" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
</body>
<back>
<ack>
<p>We would like to acknowledge Valentina Schiavone for help and critical discussion on the manuscript.</p>
</ack>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label> <citation citation-type="other"><person-group person-group-type="author"><collab id="coll1">WHO</collab></person-group> (<year>2023</year>). <source>Epilepsy, epilepsy - World Health Organization</source>. <comment>Available at: </comment><ext-link xlink:href="https://www.who.int/news-room/fact-sheets/detail/epilepsy" ext-link-type="uri">https://www.who.int/news-room/fact-sheets/detail/epilepsy</ext-link> (Accessed April 27, 2023).</citation></ref>
<ref id="ref2"><label>2.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fisher</surname> <given-names>RS</given-names></name> <name><surname>Boas</surname> <given-names>WE</given-names></name> <name><surname>Blume</surname> <given-names>W</given-names></name> <name><surname>Elger</surname> <given-names>C</given-names></name> <name><surname>Genton</surname> <given-names>P</given-names></name> <name><surname>Lee</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Epileptic seizures and epilepsy: definitions proposed by the international league against epilepsy (ILAE) and the International Bureau for Epilepsy (IBE)</article-title>. <source>Epilepsia</source>. (<year>2005</year>) <volume>46</volume>:<fpage>470</fpage>&#x2013;<lpage>2</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.0013-9580.2005.66104.x</pub-id>, PMID: <pub-id pub-id-type="pmid">15816939</pub-id></citation></ref>
<ref id="ref3"><label>3.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fisher</surname> <given-names>RS</given-names></name> <name><surname>Cross</surname> <given-names>JH</given-names></name> <name><surname>D'Souza</surname> <given-names>C</given-names></name> <name><surname>French</surname> <given-names>JA</given-names></name> <name><surname>Haut</surname> <given-names>SR</given-names></name> <name><surname>Higurashi</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Instruction manual for the ILAE 2017 operational classification of seizure types</article-title>. <source>Epilepsia</source>. (<year>2017</year>) <volume>58</volume>:<fpage>531</fpage>&#x2013;<lpage>42</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.13671</pub-id>, PMID: <pub-id pub-id-type="pmid">28276064</pub-id></citation></ref>
<ref id="ref4"><label>4.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fisher</surname> <given-names>RS</given-names></name> <name><surname>Cross</surname> <given-names>JH</given-names></name> <name><surname>French</surname> <given-names>JA</given-names></name> <name><surname>Higurashi</surname> <given-names>N</given-names></name> <name><surname>Hirsch</surname> <given-names>E</given-names></name> <name><surname>Jansen</surname> <given-names>FE</given-names></name> <etal/></person-group>. <article-title>Operational classification of seizure types by the international league against epilepsy: position paper of the ILAE commission for classification and terminology</article-title>. <source>Epilepsia</source>. (<year>2017</year>) <volume>58</volume>:<fpage>522</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.13670</pub-id>, PMID: <pub-id pub-id-type="pmid">28276060</pub-id></citation></ref>
<ref id="ref5"><label>5.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Devinsky</surname> <given-names>O</given-names></name> <name><surname>Vezzani</surname> <given-names>A</given-names></name> <name><surname>O'Brien</surname> <given-names>TJ</given-names></name> <name><surname>Jette</surname> <given-names>N</given-names></name> <name><surname>Scheffer</surname> <given-names>IE</given-names></name> <name><surname>de Curtis</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Epilepsy</article-title>. <source>Nat Rev Dis Primers</source>. (<year>2018</year>) <volume>4</volume>:<fpage>18024</fpage>. doi: <pub-id pub-id-type="doi">10.1038/nrdp.2018.24</pub-id></citation></ref>
<ref id="ref6"><label>6.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fisher</surname> <given-names>RS</given-names></name> <name><surname>Cross</surname> <given-names>H</given-names></name> <name><surname>D'Souza</surname> <given-names>C</given-names></name> <name><surname>French</surname> <given-names>JA</given-names></name> <name><surname>Haut</surname> <given-names>S</given-names></name> <name><surname>Higurashi</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>2017 international league against epilepsy classifications of seizures and epilepsy are steps in the right direction</article-title>. <source>Epilepsia</source>. (<year>2019</year>) <volume>60</volume>:<fpage>1040</fpage>&#x2013;<lpage>4</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.15052</pub-id>, PMID: <pub-id pub-id-type="pmid">31074833</pub-id></citation></ref>
<ref id="ref7"><label>7.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bhalla</surname> <given-names>D</given-names></name> <name><surname>Godet</surname> <given-names>B</given-names></name> <name><surname>Druet-Cabanac</surname> <given-names>M</given-names></name> <name><surname>Preux</surname> <given-names>PM</given-names></name></person-group>. <article-title>Etiologies of epilepsy: a comprehensive review</article-title>. <source>Expert Rev Neurother</source>. (<year>2011</year>) <volume>11</volume>:<fpage>861</fpage>&#x2013;<lpage>76</lpage>. doi: <pub-id pub-id-type="doi">10.1586/ern.11.51</pub-id></citation></ref>
<ref id="ref8"><label>8.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Scheffer</surname> <given-names>IE</given-names></name> <name><surname>Berkovic</surname> <given-names>S</given-names></name> <name><surname>Capovilla</surname> <given-names>G</given-names></name> <name><surname>Connolly</surname> <given-names>MB</given-names></name> <name><surname>French</surname> <given-names>J</given-names></name> <name><surname>Guilhoto</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>ILAE classification of the epilepsies: position paper of the ILAE commission for classification and terminology</article-title>. <source>Epilepsia</source>. (<year>2017</year>) <volume>58</volume>:<fpage>512</fpage>&#x2013;<lpage>21</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.13709</pub-id>, PMID: <pub-id pub-id-type="pmid">28276062</pub-id></citation></ref>
<ref id="ref9"><label>9.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Winter</surname> <given-names>MJ</given-names></name> <name><surname>Ono</surname> <given-names>Y</given-names></name> <name><surname>Ball</surname> <given-names>JS</given-names></name> <name><surname>Walentinsson</surname> <given-names>A</given-names></name> <name><surname>Michaelsson</surname> <given-names>E</given-names></name> <name><surname>Tochwin</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>A combined human in silico and CRISPR/Cas9-mediated <italic>in vivo</italic> zebrafish based approach to provide phenotypic data for supporting early target validation</article-title>. <source>Front Pharmacol</source>. (<year>2022</year>) <volume>13</volume>:<fpage>827686</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2022.827686</pub-id>, PMID: <pub-id pub-id-type="pmid">35548346</pub-id></citation></ref>
<ref id="ref10"><label>10.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ellis</surname> <given-names>CA</given-names></name> <name><surname>Petrovski</surname> <given-names>S</given-names></name> <name><surname>Berkovic</surname> <given-names>SF</given-names></name></person-group>. <article-title>Epilepsy genetics: clinical impacts and biological insights, the lancet</article-title>. <source>Neurology</source>. (<year>2020</year>) <volume>19</volume>:<fpage>93</fpage>&#x2013;<lpage>100</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S1474-4422(19)30269-8</pub-id></citation></ref>
<ref id="ref11"><label>11.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ding</surname> <given-names>J</given-names></name> <name><surname>Li</surname> <given-names>X</given-names></name> <name><surname>Tian</surname> <given-names>H</given-names></name> <name><surname>Wang</surname> <given-names>L</given-names></name> <name><surname>Guo</surname> <given-names>B</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>SCN1A mutation-beyond Dravet syndrome: a systematic review and narrative synthesis</article-title>. <source>Front Neurol</source>. (<year>2021</year>) <volume>12</volume>:<fpage>743726</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fneur.2021.743726</pub-id>, PMID: <pub-id pub-id-type="pmid">35002916</pub-id></citation></ref>
<ref id="ref12"><label>12.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Steel</surname> <given-names>D</given-names></name> <name><surname>Symonds</surname> <given-names>JD</given-names></name> <name><surname>Zuberi</surname> <given-names>SM</given-names></name> <name><surname>Brunklaus</surname> <given-names>A</given-names></name></person-group>. <article-title>Dravet syndrome and its mimics: beyond SCN1A</article-title>. <source>Epilepsia</source>. (<year>2017</year>) <volume>58</volume>:<fpage>1807</fpage>&#x2013;<lpage>16</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.13889</pub-id>, PMID: <pub-id pub-id-type="pmid">28880996</pub-id></citation></ref>
<ref id="ref13"><label>13.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hirose</surname> <given-names>S</given-names></name></person-group>. <article-title>Mutant GABA(A) receptor subunits in genetic (idiopathic) epilepsy</article-title>. <source>Prog Brain Res</source>. (<year>2014</year>) <volume>213</volume>:<fpage>55</fpage>&#x2013;<lpage>85</lpage>. doi: <pub-id pub-id-type="doi">10.1016/B978-0-444-63326-2.00003-X</pub-id></citation></ref>
<ref id="ref14"><label>14.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wynshaw-Boris</surname> <given-names>A</given-names></name> <name><surname>Pramparo</surname> <given-names>T</given-names></name> <name><surname>Youn</surname> <given-names>YH</given-names></name> <name><surname>Hirotsune</surname> <given-names>S</given-names></name></person-group>. <article-title>Lissencephaly: mechanistic insights from animal models and potential therapeutic strategies</article-title>. <source>Semin Cell Dev Biol</source>. (<year>2010</year>) <volume>21</volume>:<fpage>823</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.semcdb.2010.07.008</pub-id>, PMID: <pub-id pub-id-type="pmid">20688183</pub-id></citation></ref>
<ref id="ref15"><label>15.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Perucca</surname> <given-names>P</given-names></name> <name><surname>Bahlo</surname> <given-names>M</given-names></name> <name><surname>Berkovic</surname> <given-names>SF</given-names></name></person-group>. <article-title>The genetics of epilepsy</article-title>. <source>Annu Rev Genomics Hum Genet</source>. (<year>2020</year>) <volume>21</volume>:<fpage>205</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev-genom-120219-074937</pub-id></citation></ref>
<ref id="ref16"><label>16.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Galizia</surname> <given-names>EC</given-names></name> <name><surname>Myers</surname> <given-names>CT</given-names></name> <name><surname>Leu</surname> <given-names>C</given-names></name> <name><surname>de Kovel</surname> <given-names>CG</given-names></name> <name><surname>Afrikanova</surname> <given-names>T</given-names></name> <name><surname>Cordero-Maldonado</surname> <given-names>ML</given-names></name> <etal/></person-group>. <article-title>CHD2 variants are a risk factor for photosensitivity in epilepsy</article-title>. <source>Brain</source>. (<year>2015</year>) <volume>138</volume>:<fpage>1198</fpage>&#x2013;<lpage>207</lpage>. doi: <pub-id pub-id-type="doi">10.1093/brain/awv052</pub-id>, PMID: <pub-id pub-id-type="pmid">25783594</pub-id></citation></ref>
<ref id="ref17"><label>17.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mastrangelo</surname> <given-names>M</given-names></name></person-group>. <article-title>Lennox-Gastaut syndrome: a state of the art review</article-title>. <source>Neuropediatrics</source>. (<year>2017</year>) <volume>48</volume>:<fpage>143</fpage>&#x2013;<lpage>51</lpage>. doi: <pub-id pub-id-type="doi">10.1055/s-0037-1601324</pub-id></citation></ref>
<ref id="ref18"><label>18.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Samanta</surname> <given-names>D</given-names></name></person-group>. <article-title>PCDH19-related epilepsy syndrome: a comprehensive clinical review</article-title>. <source>Pediatr Neurol</source>. (<year>2020</year>) <volume>105</volume>:<fpage>3</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.pediatrneurol.2019.10.009</pub-id></citation></ref>
<ref id="ref19"><label>19.</label> <citation citation-type="journal"><person-group person-group-type="author"><collab id="coll2">Epi4K Consortium</collab></person-group>. <article-title><italic>De novo</italic> mutations in SLC1A2 and CACNA1A are important causes of epileptic encephalopathies</article-title>. <source>Am J Hum Genet</source>. (<year>2016</year>) <volume>99</volume>:<fpage>287</fpage>&#x2013;<lpage>98</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ajhg.2016.06.003</pub-id></citation></ref>
<ref id="ref20"><label>20.</label> <citation citation-type="journal"><person-group person-group-type="author"><collab id="coll3">EpiPM Consortium</collab></person-group>. <article-title>A roadmap for precision medicine in the epilepsies</article-title>. <source>Lancet Neurol</source>. (<year>2015</year>) <volume>14</volume>:<fpage>1219</fpage>&#x2013;<lpage>28</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S1474-4422(15)00199-4</pub-id></citation></ref>
<ref id="ref21"><label>21.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Montanucci</surname> <given-names>L</given-names></name> <name><surname>Lewis-Smith</surname> <given-names>D</given-names></name> <name><surname>Collins</surname> <given-names>RL</given-names></name> <name><surname>Niestroj</surname> <given-names>LM</given-names></name> <name><surname>Parthasarathy</surname> <given-names>S</given-names></name> <name><surname>Xian</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Genome-wide identification and phenotypic characterization of seizure-associated copy number variations in 741,075 individuals</article-title>. <source>Nat Commun</source>. (<year>2023</year>) <volume>14</volume>:<fpage>4392</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-023-39539-6</pub-id>, PMID: <pub-id pub-id-type="pmid">37474567</pub-id></citation></ref>
<ref id="ref22"><label>22.</label> <citation citation-type="other"><person-group person-group-type="author"><collab id="coll4">The International League Against Epilepsy Consortium on Complex Epilepsies</collab><name><surname>Abou-Khalil</surname> <given-names>B</given-names></name> <name><surname>Auce</surname> <given-names>P</given-names></name> <name><surname>Avbersek</surname> <given-names>A</given-names></name> <name><surname>Bahlo</surname> <given-names>M</given-names></name> <name><surname>Balding</surname> <given-names>DJ</given-names></name> <etal/></person-group>. <article-title>Genome-wide mega-analysis identifies 16 loci and highlights diverse biological mechanisms in the common epilepsies</article-title>. <source>Nat Commun</source>. (<year>2018</year>) <volume>9</volume>:<fpage>5269</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-018-07524-z</pub-id>, PMID: <pub-id pub-id-type="pmid">30531953</pub-id></citation></ref>
<ref id="ref23"><label>23.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hewson</surname> <given-names>S</given-names></name> <name><surname>Puka</surname> <given-names>K</given-names></name> <name><surname>Mercimek-Mahmutoglu</surname> <given-names>S</given-names></name></person-group>. <article-title>Variable expressivity of a likely pathogenic variant in KCNQ2 in a three-generation pedigree presenting with intellectual disability with childhood onset seizures</article-title>. <source>Am J Med Genet A</source>. (<year>2017</year>) <volume>173</volume>:<fpage>2226</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1002/ajmg.a.38281</pub-id>, PMID: <pub-id pub-id-type="pmid">28602030</pub-id></citation></ref>
<ref id="ref24"><label>24.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marini</surname> <given-names>C</given-names></name> <name><surname>Porro</surname> <given-names>A</given-names></name> <name><surname>Rastetter</surname> <given-names>A</given-names></name> <name><surname>Dalle</surname> <given-names>C</given-names></name> <name><surname>Rivolta</surname> <given-names>I</given-names></name> <name><surname>Bauer</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>HCN1 mutation spectrum: from neonatal epileptic encephalopathy to benign generalized epilepsy and beyond</article-title>. <source>Brain</source>. (<year>2018</year>) <volume>141</volume>:<fpage>3160</fpage>&#x2013;<lpage>78</lpage>. doi: <pub-id pub-id-type="doi">10.1093/brain/awy263</pub-id></citation></ref>
<ref id="ref25"><label>25.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hawkins</surname> <given-names>NA</given-names></name> <name><surname>Zachwieja</surname> <given-names>NJ</given-names></name> <name><surname>Miller</surname> <given-names>AR</given-names></name> <name><surname>Anderson</surname> <given-names>LL</given-names></name> <name><surname>Kearney</surname> <given-names>JA</given-names></name></person-group>. <article-title>Fine mapping of a Dravet syndrome modifier locus on mouse chromosome 5 and candidate gene analysis by RNA-Seq</article-title>. <source>PLoS Genet</source>. (<year>2016</year>) <volume>12</volume>:<fpage>e1006398</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pgen.1006398</pub-id>, PMID: <pub-id pub-id-type="pmid">27768696</pub-id></citation></ref>
<ref id="ref26"><label>26.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>de Lange</surname> <given-names>IM</given-names></name> <name><surname>Mulder</surname> <given-names>F</given-names></name> <name><surname>van 't Slot</surname> <given-names>R</given-names></name> <name><surname>Sonsma</surname> <given-names>ACM</given-names></name> <name><surname>van Kempen</surname> <given-names>M</given-names></name> <name><surname>Nijman</surname> <given-names>IJ</given-names></name> <etal/></person-group>. <article-title>Modifier genes in SCN1A-related epilepsy syndromes</article-title>. <source>Mol Genet Genomic Med</source>. (<year>2020</year>) <volume>8</volume>:<fpage>e1103</fpage>. doi: <pub-id pub-id-type="doi">10.1002/mgg3.1103</pub-id>, PMID: <pub-id pub-id-type="pmid">32032478</pub-id></citation></ref>
<ref id="ref27"><label>27.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Heinzen</surname> <given-names>EL</given-names></name></person-group>. <article-title>Somatic variants in epilepsy - advancing gene discovery and disease mechanisms</article-title>. <source>Curr Opin Genet Dev</source>. (<year>2020</year>) <volume>65</volume>:<fpage>1</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.gde.2020.04.004</pub-id></citation></ref>
<ref id="ref28"><label>28.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kang</surname> <given-names>S</given-names></name> <name><surname>Graham</surname><given-names>JM</given-names> <suffix>Jr</suffix></name> <name><surname>Olney</surname> <given-names>AH</given-names></name> <name><surname>Biesecker</surname> <given-names>LG</given-names></name></person-group>. <article-title>GLI3 frameshift mutations cause autosomal dominant Pallister-hall syndrome</article-title>. <source>Nat Genet</source>. (<year>1997</year>) <volume>15</volume>:<fpage>266</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1038/ng0397-266</pub-id>, PMID: <pub-id pub-id-type="pmid">9054938</pub-id></citation></ref>
<ref id="ref29"><label>29.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Corbett</surname> <given-names>MA</given-names></name> <name><surname>Depienne</surname> <given-names>C</given-names></name> <name><surname>Veneziano</surname> <given-names>L</given-names></name> <name><surname>Klein</surname> <given-names>KM</given-names></name> <name><surname>Brancati</surname> <given-names>F</given-names></name> <name><surname>Guerrini</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Genetics of familial adult myoclonus epilepsy: from linkage studies to noncoding repeat expansions</article-title>. <source>Epilepsia</source>. (<year>2023</year>) <volume>64 Suppl 1</volume>:<fpage>S14</fpage>&#x2013;<lpage>21</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.17610</pub-id>, PMID: <pub-id pub-id-type="pmid">37021642</pub-id></citation></ref>
<ref id="ref30"><label>30.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Plaster</surname> <given-names>NM</given-names></name> <name><surname>Uyama</surname> <given-names>E</given-names></name> <name><surname>Uchino</surname> <given-names>M</given-names></name> <name><surname>Ikeda</surname> <given-names>T</given-names></name> <name><surname>Flanigan</surname> <given-names>KM</given-names></name> <name><surname>Kondo</surname> <given-names>I</given-names></name> <etal/></person-group>. <article-title>Genetic localization of the familial adult myoclonic epilepsy (FAME) gene to chromosome 8q24</article-title>. <source>Neurology</source>. (<year>1999</year>) <volume>53</volume>:<fpage>1180</fpage>&#x2013;<lpage>3</lpage>. doi: <pub-id pub-id-type="doi">10.1212/wnl.53.6.1180</pub-id>, PMID: <pub-id pub-id-type="pmid">10522869</pub-id></citation></ref>
<ref id="ref31"><label>31.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ishiura</surname> <given-names>H</given-names></name> <name><surname>Doi</surname> <given-names>K</given-names></name> <name><surname>Mitsui</surname> <given-names>J</given-names></name> <name><surname>Yoshimura</surname> <given-names>J</given-names></name> <name><surname>Matsukawa</surname> <given-names>MK</given-names></name> <name><surname>Fujiyama</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Expansions of intronic TTTCA and TTTTA repeats in benign adult familial myoclonic epilepsy</article-title>. <source>Nat Genet</source>. (<year>2018</year>) <volume>50</volume>:<fpage>581</fpage>&#x2013;<lpage>90</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41588-018-0067-2</pub-id>, PMID: <pub-id pub-id-type="pmid">29507423</pub-id></citation></ref>
<ref id="ref32"><label>32.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Vezzani</surname> <given-names>A</given-names></name> <name><surname>Fujinami</surname> <given-names>RS</given-names></name> <name><surname>White</surname> <given-names>HS</given-names></name> <name><surname>Preux</surname> <given-names>PM</given-names></name> <name><surname>Bl&#x00FC;mcke</surname> <given-names>I</given-names></name> <name><surname>Sander</surname> <given-names>JW</given-names></name> <etal/></person-group>. <article-title>Infections, inflammation and epilepsy</article-title>. <source>Acta Neuropathol</source>. (<year>2016</year>) <volume>131</volume>:<fpage>211</fpage>&#x2013;<lpage>34</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00401-015-1481-5</pub-id>, PMID: <pub-id pub-id-type="pmid">26423537</pub-id></citation></ref>
<ref id="ref33"><label>33.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Feinstein</surname> <given-names>AR</given-names></name></person-group>. <article-title>The pre-therapeutic classification of co-morbidity in chronic disease</article-title>. <source>J Chronic Dis</source>. (<year>1970</year>) <volume>23</volume>:<fpage>455</fpage>&#x2013;<lpage>68</lpage>. doi: <pub-id pub-id-type="doi">10.1016/0021-9681(70)90054-8</pub-id></citation></ref>
<ref id="ref34"><label>34.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Keezer</surname> <given-names>MR</given-names></name> <name><surname>Sisodiya</surname> <given-names>SM</given-names></name> <name><surname>Sander</surname> <given-names>JW</given-names></name></person-group>. <article-title>Comorbidities of epilepsy: current concepts and future perspectives, the lancet</article-title>. <source>Neurology</source>. (<year>2016</year>) <volume>15</volume>:<fpage>106</fpage>&#x2013;<lpage>15</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S1474-4422(15)00225-2</pub-id></citation></ref>
<ref id="ref35"><label>35.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Giussani</surname> <given-names>G</given-names></name> <name><surname>Bianchi</surname> <given-names>E</given-names></name> <name><surname>Beretta</surname> <given-names>S</given-names></name> <name><surname>Carone</surname> <given-names>D</given-names></name> <name><surname>DiFrancesco</surname> <given-names>JC</given-names></name> <name><surname>Stabile</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Comorbidities in patients with epilepsy: frequency, mechanisms and effects on long-term outcome</article-title>. <source>Epilepsia</source>. (<year>2021</year>) <volume>62</volume>:<fpage>2395</fpage>&#x2013;<lpage>404</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.17022</pub-id>, PMID: <pub-id pub-id-type="pmid">34309011</pub-id></citation></ref>
<ref id="ref36"><label>36.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>L&#x00F6;scher</surname> <given-names>W</given-names></name> <name><surname>Klein</surname> <given-names>P</given-names></name></person-group>. <article-title>The pharmacology and clinical efficacy of Antiseizure medications: from bromide salts to Cenobamate and beyond</article-title>. <source>CNS Drugs</source>. (<year>2021</year>) <volume>35</volume>:<fpage>935</fpage>&#x2013;<lpage>63</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s40263-021-00827-8</pub-id></citation></ref>
<ref id="ref37"><label>37.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gilman</surname> <given-names>JT</given-names></name> <name><surname>Duchowny</surname> <given-names>M</given-names></name> <name><surname>Campo</surname> <given-names>AE</given-names></name></person-group>. <article-title>Pharmacokinetic considerations in the treatment of childhood epilepsy</article-title>. <source>Paediatr Drugs</source>. (<year>2003</year>) <volume>5</volume>:<fpage>267</fpage>&#x2013;<lpage>77</lpage>. doi: <pub-id pub-id-type="doi">10.2165/00128072-200305040-00005</pub-id></citation></ref>
<ref id="ref38"><label>38.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Markowitz</surname> <given-names>GJ</given-names></name> <name><surname>Kadam</surname> <given-names>SD</given-names></name> <name><surname>Boothe</surname> <given-names>DM</given-names></name> <name><surname>Irving</surname> <given-names>ND</given-names></name> <name><surname>Comi</surname> <given-names>AM</given-names></name></person-group>. <article-title>The pharmacokinetics of commonly used antiepileptic drugs in immature CD1 mice</article-title>. <source>Neuroreport</source>. (<year>2010</year>) <volume>21</volume>:<fpage>452</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1097/wnr.0b013e328338ba18</pub-id>, PMID: <pub-id pub-id-type="pmid">20848732</pub-id></citation></ref>
<ref id="ref39"><label>39.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kulkarni</surname> <given-names>AD</given-names></name> <name><surname>Patel</surname> <given-names>HM</given-names></name> <name><surname>Surana</surname> <given-names>SJ</given-names></name> <name><surname>Belgamwar</surname> <given-names>VS</given-names></name> <name><surname>Pardeshi</surname> <given-names>CV</given-names></name></person-group>. <article-title>Brain-blood ratio: implications in brain drug delivery</article-title>. <source>Expert Opin Drug Deliv</source>. (<year>2016</year>) <volume>13</volume>:<fpage>85</fpage>&#x2013;<lpage>92</lpage>. doi: <pub-id pub-id-type="doi">10.1517/17425247.2016.1092519</pub-id>, PMID: <pub-id pub-id-type="pmid">26393289</pub-id></citation></ref>
<ref id="ref40"><label>40.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stangler</surname> <given-names>LA</given-names></name> <name><surname>Kouzani</surname> <given-names>A</given-names></name> <name><surname>Bennet</surname> <given-names>KE</given-names></name> <name><surname>Dumee</surname> <given-names>L</given-names></name> <name><surname>Berk</surname> <given-names>M</given-names></name> <name><surname>Worrell</surname> <given-names>GA</given-names></name> <etal/></person-group>. <article-title>Microdialysis and microperfusion electrodes in neurologic disease monitoring</article-title>. <source>Fluids Barriers CNS</source>. (<year>2021</year>) <volume>18</volume>:<fpage>52</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12987-021-00292-x</pub-id>, PMID: <pub-id pub-id-type="pmid">34852829</pub-id></citation></ref>
<ref id="ref41"><label>41.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bagchi</surname> <given-names>S</given-names></name> <name><surname>Chhibber</surname> <given-names>T</given-names></name> <name><surname>Lahooti</surname> <given-names>B</given-names></name> <name><surname>Verma</surname> <given-names>A</given-names></name> <name><surname>Borse</surname> <given-names>V</given-names></name> <name><surname>Jayant</surname> <given-names>RD</given-names></name></person-group>. <article-title>In-vitro blood-brain barrier models for drug screening and permeation studies: an overview</article-title>. <source>Drug Des Devel Ther</source>. (<year>2019</year>) <volume>13</volume>:<fpage>3591</fpage>&#x2013;<lpage>605</lpage>. doi: <pub-id pub-id-type="doi">10.2147/DDDT.S218708</pub-id>, PMID: <pub-id pub-id-type="pmid">31695329</pub-id></citation></ref>
<ref id="ref42"><label>42.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tong</surname> <given-names>X</given-names></name> <name><surname>Wang</surname> <given-names>D</given-names></name> <name><surname>Ding</surname> <given-names>X</given-names></name> <name><surname>Tan</surname> <given-names>X</given-names></name> <name><surname>Ren</surname> <given-names>Q</given-names></name> <name><surname>Chen</surname> <given-names>G</given-names></name> <etal/></person-group>. <article-title>Blood-brain barrier penetration prediction enhanced by uncertainty estimation</article-title>. <source>J Chem</source>. (<year>2022</year>) <volume>14</volume>:<fpage>44</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13321-022-00619-2</pub-id>, PMID: <pub-id pub-id-type="pmid">35799215</pub-id></citation></ref>
<ref id="ref43"><label>43.</label> <citation citation-type="other"><person-group person-group-type="author"><name><surname>Chung</surname> <given-names>T.D.Y.</given-names></name> <name><surname>Terry</surname> <given-names>D.B.</given-names></name> <name><surname>Smith</surname> <given-names>L.H.</given-names></name></person-group> (<year>2004</year>) <article-title><italic>In vitro</italic> and <italic>in vivo</italic> assessment of ADME and PK properties during lead selection and lead optimization &#x2013; guidelines, benchmarks and rules of thumb</article-title>, in <person-group person-group-type="editor"><name><surname>Markossian</surname> <given-names>S.</given-names></name> <etal/></person-group>. (eds) <source>Assay guidance manual</source>. <publisher-loc>Bethesda, MD</publisher-loc>: <publisher-name>Eli Lilly &#x0026; Company and the National Center for Advancing Translational Sciences</publisher-name>. <comment>Available at: </comment><ext-link xlink:href="http://www.ncbi.nlm.nih.gov/books/NBK326710/" ext-link-type="uri">http://www.ncbi.nlm.nih.gov/books/NBK326710/</ext-link> (Accessed July 27, 2023).</citation></ref>
<ref id="ref44"><label>44.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Helms</surname> <given-names>HC</given-names></name> <name><surname>Abbott</surname> <given-names>NJ</given-names></name> <name><surname>Burek</surname> <given-names>M</given-names></name> <name><surname>Cecchelli</surname> <given-names>R</given-names></name> <name><surname>Couraud</surname> <given-names>PO</given-names></name> <name><surname>Deli</surname> <given-names>MA</given-names></name> <etal/></person-group>. <article-title><italic>In vitro</italic> models of the blood-brain barrier: an overview of commonly used brain endothelial cell culture models and guidelines for their use</article-title>. <source>J Cereb Blood Flow Metab</source>. (<year>2016</year>) <volume>36</volume>:<fpage>862</fpage>&#x2013;<lpage>90</lpage>. doi: <pub-id pub-id-type="doi">10.1177/0271678X16630991</pub-id>, PMID: <pub-id pub-id-type="pmid">26868179</pub-id></citation></ref>
<ref id="ref45"><label>45.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Achenbach</surname> <given-names>JC</given-names></name> <name><surname>Hui</surname> <given-names>JPM</given-names></name> <name><surname>Berrue</surname> <given-names>F</given-names></name> <name><surname>Woodland</surname> <given-names>C</given-names></name> <name><surname>Ellis</surname> <given-names>LD</given-names></name></person-group>. <article-title>Evaluation of the Uptake, Metabolism, and Secretion of Toxicants by Zebrafish Larvae</article-title>. <source>Toxicol Sci.</source> (<year>2022</year>) <volume>190</volume>:<fpage>133</fpage>&#x2013;<lpage>145</lpage>. doi: <pub-id pub-id-type="doi">10.1093/toxsci/kfac102</pub-id></citation></ref>
<ref id="ref46"><label>46.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>SS</given-names></name> <name><surname>Im</surname> <given-names>SH</given-names></name> <name><surname>Yang</surname> <given-names>JY</given-names></name> <name><surname>Lee</surname> <given-names>YR</given-names></name> <name><surname>Kim</surname> <given-names>GR</given-names></name> <name><surname>Chae</surname> <given-names>JS</given-names></name> <etal/></person-group>. <article-title>Zebrafish as a screening model for testing the permeability of blood-brain barrier to small molecules</article-title>. <source>Zebrafish</source>. (<year>2017</year>) <volume>14</volume>:<fpage>322</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1089/zeb.2016.1392</pub-id>, PMID: <pub-id pub-id-type="pmid">28488933</pub-id></citation></ref>
<ref id="ref47"><label>47.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>L&#x00F6;scher</surname> <given-names>W</given-names></name></person-group>. <article-title>Critical review of current animal models of seizures and epilepsy used in the discovery and development of new antiepileptic drugs</article-title>. <source>Seizure</source>. (<year>2011</year>) <volume>20</volume>:<fpage>359</fpage>&#x2013;<lpage>68</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.seizure.2011.01.003</pub-id></citation></ref>
<ref id="ref48"><label>48.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>L&#x00F6;scher</surname> <given-names>W</given-names></name></person-group>. <article-title>Animal models of seizures and epilepsy: past, present, and future role for the discovery of antiseizure drugs</article-title>. <source>Neurochem Res</source>. (<year>2017</year>) <volume>42</volume>:<fpage>1873</fpage>&#x2013;<lpage>88</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11064-017-2222-z</pub-id></citation></ref>
<ref id="ref49"><label>49.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Castel-Branco</surname> <given-names>MM</given-names></name> <name><surname>Alves</surname> <given-names>GL</given-names></name> <name><surname>Figueiredo</surname> <given-names>IV</given-names></name> <name><surname>Falcao</surname> <given-names>AC</given-names></name> <name><surname>Caramona</surname> <given-names>MM</given-names></name></person-group>. <article-title>The maximal electroshock seizure (MES) model in the preclinical assessment of potential new antiepileptic drugs</article-title>. <source>Methods Find Exp Clin Pharmacol</source>. (<year>2009</year>) <volume>31</volume>:<fpage>101</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1358/mf.2009.31.2.1338414</pub-id>, PMID: <pub-id pub-id-type="pmid">19455265</pub-id></citation></ref>
<ref id="ref50"><label>50.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Barton</surname> <given-names>ME</given-names></name> <name><surname>Klein</surname> <given-names>BD</given-names></name> <name><surname>Wolf</surname> <given-names>HH</given-names></name> <name><surname>Steve White</surname> <given-names>H</given-names></name></person-group>. <article-title>Pharmacological characterization of the 6 Hz psychomotor seizure model of partial epilepsy</article-title>. <source>Epilepsy Res</source>. (<year>2001</year>) <volume>47</volume>:<fpage>217</fpage>&#x2013;<lpage>27</lpage>. doi: <pub-id pub-id-type="doi">10.1016/s0920-1211(01)00302-3</pub-id>, PMID: <pub-id pub-id-type="pmid">11738929</pub-id></citation></ref>
<ref id="ref51"><label>51.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Metcalf</surname> <given-names>CS</given-names></name> <name><surname>West</surname> <given-names>PJ</given-names></name> <name><surname>Thomson</surname> <given-names>KE</given-names></name> <name><surname>Edwards</surname> <given-names>SF</given-names></name> <name><surname>Smith</surname> <given-names>MD</given-names></name> <name><surname>White</surname> <given-names>HS</given-names></name> <etal/></person-group>. <article-title>Development and pharmacologic characterization of the rat 6 Hz model of partial seizures</article-title>. <source>Epilepsia</source>. (<year>2017</year>) <volume>58</volume>:<fpage>1073</fpage>&#x2013;<lpage>84</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.13764</pub-id>, PMID: <pub-id pub-id-type="pmid">28449218</pub-id></citation></ref>
<ref id="ref52"><label>52.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Leclercq</surname> <given-names>K</given-names></name> <name><surname>Matagne</surname> <given-names>A</given-names></name> <name><surname>Kaminski</surname> <given-names>RM</given-names></name></person-group>. <article-title>Low potency and limited efficacy of antiepileptic drugs in the mouse 6 Hz corneal kindling model</article-title>. <source>Epilepsy Res</source>. (<year>2014</year>) <volume>108</volume>:<fpage>675</fpage>&#x2013;<lpage>83</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.eplepsyres.2014.02.013</pub-id>, PMID: <pub-id pub-id-type="pmid">24661426</pub-id></citation></ref>
<ref id="ref53"><label>53.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Goddard</surname> <given-names>GV</given-names></name> <name><surname>McIntyre</surname> <given-names>DC</given-names></name> <name><surname>Leech</surname> <given-names>CK</given-names></name></person-group>. <article-title>A permanent change in brain function resulting from daily electrical stimulation</article-title>. <source>Exp Neurol</source>. (<year>1969</year>) <volume>25</volume>:<fpage>295</fpage>&#x2013;<lpage>330</lpage>. doi: <pub-id pub-id-type="doi">10.1016/0014-4886(69)90128-9</pub-id></citation></ref>
<ref id="ref54"><label>54.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>L&#x00F6;scher</surname> <given-names>W</given-names></name> <name><surname>J&#x00E4;ckel</surname> <given-names>R</given-names></name> <name><surname>Czuczwar</surname> <given-names>SJ</given-names></name></person-group>. <article-title>Is amygdala kindling in rats a model for drug-resistant partial epilepsy?</article-title> <source>Exp Neurol</source>. (<year>1986</year>) <volume>93</volume>:<fpage>211</fpage>&#x2013;<lpage>26</lpage>. doi: <pub-id pub-id-type="doi">10.1016/0014-4886(86)90160-3</pub-id></citation></ref>
<ref id="ref55"><label>55.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Snead</surname> <given-names>OC</given-names></name> <name><surname>Banerjee</surname> <given-names>PK</given-names></name> <name><surname>Burnham</surname> <given-names>MI</given-names></name> <name><surname>Hampson</surname> <given-names>D</given-names></name></person-group>. <article-title>Modulation of absence seizures by the GABA(A) receptor: a critical rolefor metabotropic glutamate receptor 4 (mGluR4), the journal of neuroscience: the official journal of the society for</article-title>. <source>Neuroscience</source>. (<year>2000</year>) <volume>20</volume>:<fpage>6218</fpage>&#x2013;<lpage>24</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.20-16-06218.2000</pub-id>, PMID: <pub-id pub-id-type="pmid">10934271</pub-id></citation></ref>
<ref id="ref56"><label>56.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Andr&#x00E9;</surname> <given-names>V</given-names></name> <name><surname>Pineau</surname> <given-names>N</given-names></name> <name><surname>Motte</surname> <given-names>JE</given-names></name> <name><surname>Marescaux</surname> <given-names>C</given-names></name> <name><surname>Nehlig</surname> <given-names>A</given-names></name></person-group>. <article-title>Mapping of neuronal networks underlying generalized seizures induced by increasing doses of pentylenetetrazol in the immature and adult rat: a c-Fos immunohistochemical study</article-title>. <source>Eur J Neurosci</source>. (<year>1998</year>) <volume>10</volume>:<fpage>2094</fpage>&#x2013;<lpage>106</lpage>. doi: <pub-id pub-id-type="doi">10.1046/j.1460-9568.1998.00223.x</pub-id>, PMID: <pub-id pub-id-type="pmid">9753096</pub-id></citation></ref>
<ref id="ref57"><label>57.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dhir</surname> <given-names>A</given-names></name></person-group>. <article-title>Pentylenetetrazol (PTZ) kindling model of epilepsy</article-title>. <source>Curr Prot Neurosci</source>. (<year>2012</year>) <volume>9</volume>:<fpage>Unit9.37</fpage>. doi: <pub-id pub-id-type="doi">10.1002/0471142301.ns0937s58</pub-id></citation></ref>
<ref id="ref58"><label>58.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gawel</surname> <given-names>K</given-names></name> <name><surname>Langlois</surname> <given-names>M</given-names></name> <name><surname>Martins</surname> <given-names>T</given-names></name> <name><surname>van der Ent</surname> <given-names>W</given-names></name> <name><surname>Tiraboschi</surname> <given-names>E</given-names></name> <name><surname>Jacmin</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Seizing the moment: zebrafish epilepsy models</article-title>. <source>Neurosci Biobehav Rev</source>. (<year>2020</year>) <volume>116</volume>:<fpage>1</fpage>&#x2013;<lpage>20</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neubiorev.2020.06.010</pub-id>, PMID: <pub-id pub-id-type="pmid">32544542</pub-id></citation></ref>
<ref id="ref59"><label>59.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Trinka</surname> <given-names>E</given-names></name> <name><surname>Cock</surname> <given-names>H</given-names></name> <name><surname>Hesdorffer</surname> <given-names>D</given-names></name> <name><surname>Rossetti</surname> <given-names>AO</given-names></name> <name><surname>Scheffer</surname> <given-names>IE</given-names></name> <name><surname>Shinnar</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>A definition and classification of status epilepticus--report of the ILAE task force on classification of status epilepticus</article-title>. <source>Epilepsia</source>. (<year>2015</year>) <volume>56</volume>:<fpage>1515</fpage>&#x2013;<lpage>23</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.13121</pub-id>, PMID: <pub-id pub-id-type="pmid">26336950</pub-id></citation></ref>
<ref id="ref60"><label>60.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Leite</surname> <given-names>JP</given-names></name> <name><surname>Garcia-Cairasco</surname> <given-names>N</given-names></name> <name><surname>Cavalheiro</surname> <given-names>EA</given-names></name></person-group>. <article-title>New insights from the use of pilocarpine and kainate models</article-title>. <source>Epilepsy Res</source>. (<year>2002</year>) <volume>50</volume>:<fpage>93</fpage>&#x2013;<lpage>103</lpage>. doi: <pub-id pub-id-type="doi">10.1016/s0920-1211(02)00072-4</pub-id></citation></ref>
<ref id="ref61"><label>61.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marshall</surname> <given-names>GF</given-names></name> <name><surname>Gonzalez-Sulser</surname> <given-names>A</given-names></name> <name><surname>Abbott</surname> <given-names>CM</given-names></name></person-group>. <article-title>Modelling epilepsy in the mouse: challenges and solutions</article-title>. <source>Dis Model Mech</source>. (<year>2021</year>) <volume>14</volume>:<fpage>dmm047449</fpage>. doi: <pub-id pub-id-type="doi">10.1242/dmm.047449</pub-id></citation></ref>
<ref id="ref62"><label>62.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jones</surname> <given-names>DL</given-names></name> <name><surname>Baraban</surname> <given-names>SC</given-names></name></person-group>. <article-title>Characterization of inhibitory circuits in the malformed hippocampus of Lis1 mutant mice</article-title>. <source>J Neurophysiol</source>. (<year>2007</year>) <volume>98</volume>:<fpage>2737</fpage>&#x2013;<lpage>46</lpage>. doi: <pub-id pub-id-type="doi">10.1152/jn.00938.2007</pub-id></citation></ref>
<ref id="ref63"><label>63.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Griffin</surname> <given-names>A</given-names></name> <name><surname>Hamling</surname> <given-names>KR</given-names></name> <name><surname>Hong</surname> <given-names>SG</given-names></name> <name><surname>Anvar</surname> <given-names>M</given-names></name> <name><surname>Lee</surname> <given-names>LP</given-names></name> <name><surname>Baraban</surname> <given-names>SC</given-names></name></person-group>. <article-title>Preclinical animal models for Dravet syndrome: seizure phenotypes, comorbidities and drug screening</article-title>. <source>Front Pharmacol</source>. (<year>2018</year>) <volume>9</volume>:<fpage>573</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2018.00573</pub-id>, PMID: <pub-id pub-id-type="pmid">29915537</pub-id></citation></ref>
<ref id="ref64"><label>64.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kalume</surname> <given-names>F</given-names></name> <name><surname>Yu</surname> <given-names>FH</given-names></name> <name><surname>Westenbroek</surname> <given-names>RE</given-names></name> <name><surname>Scheuer</surname> <given-names>T</given-names></name> <name><surname>Catterall</surname> <given-names>WA</given-names></name></person-group>. <article-title>Reduced sodium current in Purkinje neurons from Nav1.1 mutant mice: implications for ataxia in severe myoclonic epilepsy in infancy</article-title>. <source>J Neurosci Off J Soc Neurosci</source>. (<year>2007</year>) <volume>27</volume>:<fpage>11065</fpage>&#x2013;<lpage>74</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.2162-07.2007</pub-id>, PMID: <pub-id pub-id-type="pmid">17928448</pub-id></citation></ref>
<ref id="ref65"><label>65.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yu</surname> <given-names>FH</given-names></name> <name><surname>Mantegazza</surname> <given-names>M</given-names></name> <name><surname>Westenbroek</surname> <given-names>RE</given-names></name> <name><surname>Robbins</surname> <given-names>CA</given-names></name> <name><surname>Kalume</surname> <given-names>F</given-names></name> <name><surname>Burton</surname> <given-names>KA</given-names></name> <etal/></person-group>. <article-title>Reduced sodium current in GABAergic interneurons in a mouse model of severe myoclonic epilepsy in infancy</article-title>. <source>Nat Neurosci</source>. (<year>2006</year>) <volume>9</volume>:<fpage>1142</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nn1754</pub-id>, PMID: <pub-id pub-id-type="pmid">16921370</pub-id></citation></ref>
<ref id="ref66"><label>66.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Han</surname> <given-names>S</given-names></name> <name><surname>Tai</surname> <given-names>C</given-names></name> <name><surname>Westenbroek</surname> <given-names>RE</given-names></name> <name><surname>Yu</surname> <given-names>FH</given-names></name> <name><surname>Cheah</surname> <given-names>CS</given-names></name> <name><surname>Potter</surname> <given-names>GB</given-names></name> <etal/></person-group>. <article-title>Autistic-like behaviour in Scn1a+/&#x2212; mice and rescue by enhanced GABA-mediated neurotransmission</article-title>. <source>Nature</source>. (<year>2012</year>) <volume>489</volume>:<fpage>385</fpage>&#x2013;<lpage>90</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature11356</pub-id>, PMID: <pub-id pub-id-type="pmid">22914087</pub-id></citation></ref>
<ref id="ref67"><label>67.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hawkins</surname> <given-names>NA</given-names></name> <name><surname>Jurado</surname> <given-names>M</given-names></name> <name><surname>Thaxton</surname> <given-names>TT</given-names></name> <name><surname>Duarte</surname> <given-names>SE</given-names></name> <name><surname>Barse</surname> <given-names>L</given-names></name> <name><surname>Tatsukawa</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Soticlestat, a novel cholesterol 24-hydroxylase inhibitor, reduces seizures and premature death in Dravet syndrome mice</article-title>. <source>Epilepsia</source>. (<year>2021</year>) <volume>62</volume>:<fpage>2845</fpage>&#x2013;<lpage>57</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.17062</pub-id>, PMID: <pub-id pub-id-type="pmid">34510432</pub-id></citation></ref>
<ref id="ref68"><label>68.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cunliffe</surname> <given-names>VT</given-names></name> <name><surname>Baines</surname> <given-names>RA</given-names></name> <name><surname>Giachello</surname> <given-names>CNG</given-names></name> <name><surname>Lin</surname> <given-names>WH</given-names></name> <name><surname>Morgan</surname> <given-names>A</given-names></name> <name><surname>Reuber</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Epilepsy research methods update: understanding the causes of epileptic seizures and identifying new treatments using non-mammalian model organisms</article-title>. <source>Seizure</source>. (<year>2015</year>) <volume>24</volume>:<fpage>44</fpage>&#x2013;<lpage>51</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.seizure.2014.09.018</pub-id>, PMID: <pub-id pub-id-type="pmid">25457452</pub-id></citation></ref>
<ref id="ref69"><label>69.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kiani</surname> <given-names>AK</given-names></name> <name><surname>Pheby</surname> <given-names>D</given-names></name> <name><surname>Henehan</surname> <given-names>G</given-names></name> <name><surname>Brown</surname> <given-names>R</given-names></name> <name><surname>Sieving</surname> <given-names>P</given-names></name> <name><surname>Sykora</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Ethical considerations regarding animal experimentation</article-title>. <source>J Prev Med Hyg</source>. (<year>2022</year>) <volume>63</volume>:<fpage>E255</fpage>&#x2013;<lpage>66</lpage>. doi: <pub-id pub-id-type="doi">10.15167/2421-4248/jpmh2022.63.2S3.2768</pub-id>, PMID: <pub-id pub-id-type="pmid">36479489</pub-id></citation></ref>
<ref id="ref70"><label>70.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>DAmora</surname> <given-names>M</given-names></name> <name><surname>Galgani</surname> <given-names>A</given-names></name> <name><surname>Marchese</surname> <given-names>M</given-names></name> <name><surname>Tantussi</surname> <given-names>F</given-names></name> <name><surname>Faraguna</surname> <given-names>U</given-names></name> <name><surname>de Angelis</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Zebrafish as an innovative tool for epilepsy modeling: state of the art and potential future directions</article-title>. <source>Int J Mol Sci</source>. (<year>2023</year>) <volume>24</volume>:<fpage>7702</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms24097702</pub-id>, PMID: <pub-id pub-id-type="pmid">37175408</pub-id></citation></ref>
<ref id="ref71"><label>71.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Risley</surname> <given-names>MG</given-names></name> <name><surname>Kelly</surname> <given-names>SP</given-names></name> <name><surname>Jia</surname> <given-names>K</given-names></name> <name><surname>Grill</surname> <given-names>B</given-names></name> <name><surname>Dawson-Scully</surname> <given-names>K</given-names></name></person-group>. <article-title>Modulating behavior in <italic>C. elegans</italic> using electroshock and antiepileptic drugs</article-title>. <source>PLoS One</source>. (<year>2016</year>) <volume>11</volume>:<fpage>e0163786</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0163786</pub-id>, PMID: <pub-id pub-id-type="pmid">27668426</pub-id></citation></ref>
<ref id="ref72"><label>72.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Wong</surname> <given-names>SQ</given-names></name> <name><surname>Jones</surname> <given-names>A</given-names></name> <name><surname>Dodd</surname> <given-names>S</given-names></name> <name><surname>Grimes</surname> <given-names>D</given-names></name> <name><surname>Barclay</surname> <given-names>JW</given-names></name> <name><surname>Marson</surname> <given-names>AG</given-names></name> <etal/></person-group>. <article-title>A <italic>Caenorhabditis elegans</italic> assay of seizure-like activity optimised for identifying antiepileptic drugs and their mechanisms of action</article-title>. <source>J Neurosci Methods</source>. (<year>2018</year>) <volume>309</volume>:<fpage>132</fpage>&#x2013;<lpage>42</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jneumeth.2018.09.004</pub-id>, PMID: <pub-id pub-id-type="pmid">30189284</pub-id></citation></ref>
<ref id="ref73"><label>73.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Fischer</surname> <given-names>FP</given-names></name> <name><surname>Karge</surname> <given-names>RA</given-names></name> <name><surname>Weber</surname> <given-names>YG</given-names></name> <name><surname>Koch</surname> <given-names>H</given-names></name> <name><surname>Wolking</surname> <given-names>S</given-names></name> <name><surname>Voigt</surname> <given-names>A</given-names></name></person-group>. <article-title><italic>Drosophila melanogaster</italic> as a versatile model organism to study genetic epilepsies: an overview</article-title>. <source>Front Mol Neurosci</source>. (<year>2023</year>) <volume>16</volume>:<fpage>1116000</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnmol.2023.1116000</pub-id>, PMID: <pub-id pub-id-type="pmid">36873106</pub-id></citation></ref>
<ref id="ref74"><label>74.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Humpel</surname> <given-names>C</given-names></name></person-group>. <article-title>Organotypic brain slice cultures: a review</article-title>. <source>Neuroscience</source>. (<year>2015</year>) <volume>305</volume>:<fpage>86</fpage>&#x2013;<lpage>98</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroscience.2015.07.086</pub-id>, PMID: <pub-id pub-id-type="pmid">26254240</pub-id></citation></ref>
<ref id="ref75"><label>75.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Linsley</surname> <given-names>JW</given-names></name> <name><surname>Tripathi</surname> <given-names>A</given-names></name> <name><surname>Epstein</surname> <given-names>I</given-names></name> <name><surname>Schmunk</surname> <given-names>G</given-names></name> <name><surname>Mount</surname> <given-names>E</given-names></name> <name><surname>Campioni</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Automated four-dimensional long term imaging enables single cell tracking within organotypic brain slices to study neurodevelopment and degeneration</article-title>. <source>Commun Bio</source>. (<year>2019</year>) <volume>2</volume>:<fpage>155</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s42003-019-0411-9</pub-id>, PMID: <pub-id pub-id-type="pmid">31069265</pub-id></citation></ref>
<ref id="ref76"><label>76.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Farrell</surname> <given-names>JS</given-names></name> <name><surname>Colangeli</surname> <given-names>R</given-names></name> <name><surname>Wolff</surname> <given-names>MD</given-names></name> <name><surname>Wall</surname> <given-names>AK</given-names></name> <name><surname>Phillips</surname> <given-names>TJ</given-names></name> <name><surname>George</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Postictal hypoperfusion/hypoxia provides the foundation for a unified theory of seizure-induced brain abnormalities and behavioral dysfunction</article-title>. <source>Epilepsia</source>. (<year>2017</year>) <volume>58</volume>:<fpage>1493</fpage>&#x2013;<lpage>1501</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.13827</pub-id></citation></ref>
<ref id="ref77"><label>77.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Noraberg</surname> <given-names>J</given-names></name> <name><surname>Kristensen</surname> <given-names>BW</given-names></name> <name><surname>Zimmer</surname> <given-names>J</given-names></name></person-group>. <article-title>Markers for neuronal degeneration in organotypic slice cultures, brain research</article-title>. <source>Brain Res Protocol</source>. (<year>1999</year>) <volume>3</volume>:<fpage>278</fpage>&#x2013;<lpage>90</lpage>. doi: <pub-id pub-id-type="doi">10.1016/s1385-299x(98)00050-6</pub-id></citation></ref>
<ref id="ref78"><label>78.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Croft</surname> <given-names>CL</given-names></name> <name><surname>Futch</surname> <given-names>HS</given-names></name> <name><surname>Moore</surname> <given-names>BD</given-names></name> <name><surname>Golde</surname> <given-names>TE</given-names></name></person-group>. <article-title>Organotypic brain slice cultures to model neurodegenerative proteinopathies</article-title>. <source>Mol Neurodegener</source>. (<year>2019</year>) <volume>14</volume>:<fpage>45</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s13024-019-0346-0</pub-id>, PMID: <pub-id pub-id-type="pmid">31791377</pub-id></citation></ref>
<ref id="ref79"><label>79.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jansen</surname> <given-names>NA</given-names></name> <name><surname>Dehghani</surname> <given-names>A</given-names></name> <name><surname>Breukel</surname> <given-names>C</given-names></name> <name><surname>Tolner</surname> <given-names>EA</given-names></name> <name><surname>van den Maagdenberg</surname> <given-names>A</given-names></name></person-group>. <article-title>Focal and generalized seizure activity after local hippocampal or cortical ablation of NaV 1.1 channels in mice</article-title>. <source>Epilepsia</source>. (<year>2020</year>) <volume>61</volume>:<fpage>e30</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.16482</pub-id>, PMID: <pub-id pub-id-type="pmid">32190912</pub-id></citation></ref>
<ref id="ref80"><label>80.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Spratt</surname> <given-names>PWE</given-names></name> <name><surname>Ben-Shalom</surname> <given-names>R</given-names></name> <name><surname>Keeshen</surname> <given-names>CM</given-names></name> <name><surname>Burke</surname><given-names>KJ</given-names> <suffix>Jr</suffix></name> <name><surname>Clarkson</surname> <given-names>RL</given-names></name> <name><surname>Sanders</surname> <given-names>SJ</given-names></name> <etal/></person-group>. <article-title>The autism-associated gene Scn2a contributes to dendritic excitability and synaptic function in the prefrontal cortex</article-title>. <source>Neuron</source>. (<year>2019</year>) <volume>103</volume>:<fpage>673</fpage>&#x2013;<lpage>685.e5</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2019.05.037</pub-id>, PMID: <pub-id pub-id-type="pmid">31230762</pub-id></citation></ref>
<ref id="ref81"><label>81.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Croft</surname> <given-names>CL</given-names></name> <name><surname>Kurbatskaya</surname> <given-names>K</given-names></name> <name><surname>Hanger</surname> <given-names>DP</given-names></name> <name><surname>Noble</surname> <given-names>W</given-names></name></person-group>. <article-title>Inhibition of glycogen synthase kinase-3 by BTA-EG4 reduces tau abnormalities in an organotypic brain slice culture model of Alzheimers disease</article-title>. <source>Sci Rep</source>. (<year>2017</year>) <volume>7</volume>:<fpage>7434</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-017-07906-1</pub-id>, PMID: <pub-id pub-id-type="pmid">28785087</pub-id></citation></ref>
<ref id="ref82"><label>82.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Raimondo</surname> <given-names>JV</given-names></name> <name><surname>Heinemann</surname> <given-names>U</given-names></name> <name><surname>de Curtis</surname> <given-names>M</given-names></name> <name><surname>Goodkin</surname> <given-names>HP</given-names></name> <name><surname>Dulla</surname> <given-names>CG</given-names></name> <name><surname>Janigro</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>Methodological standards for <italic>in vitro</italic> models of epilepsy and epileptic seizures. A TASK1-WG4 report of the AES/ILAE translational TASK force of the ILAE</article-title>. <source>Epilepsia</source>. (<year>2017</year>) <volume>58 Suppl 4</volume>:<fpage>40</fpage>&#x2013;<lpage>52</lpage>. doi: <pub-id pub-id-type="doi">10.1111/epi.13901</pub-id>, PMID: <pub-id pub-id-type="pmid">29105075</pub-id></citation></ref>
<ref id="ref83"><label>83.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Albus</surname> <given-names>K</given-names></name> <name><surname>Heinemann</surname> <given-names>U</given-names></name> <name><surname>Kov&#x00E1;cs</surname> <given-names>R</given-names></name></person-group>. <article-title>Network activity in hippocampal slice cultures revealed by long-term <italic>in vitro</italic> recordings</article-title>. <source>J Neurosci Methods</source>. (<year>2013</year>) <volume>217</volume>:<fpage>1</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jneumeth.2013.04.014</pub-id>, PMID: <pub-id pub-id-type="pmid">23639918</pub-id></citation></ref>
<ref id="ref84"><label>84.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Magalh&#x00E3;es</surname> <given-names>DM</given-names></name> <name><surname>Pereira</surname> <given-names>N</given-names></name> <name><surname>Rombo</surname> <given-names>DM</given-names></name> <name><surname>Beltr&#x00E3;o-Cavacas</surname> <given-names>C</given-names></name> <name><surname>Sebasti&#x00E3;o</surname> <given-names>AM</given-names></name> <name><surname>Valente</surname> <given-names>CA</given-names></name></person-group>. <article-title>Ex vivo model of epilepsy in organotypic slices-a new tool for drug screening</article-title>. <source>J Neuroinflammation</source>. (<year>2018</year>) <volume>15</volume>:<fpage>203</fpage>. doi: <pub-id pub-id-type="doi">10.1186/s12974-018-1225-2</pub-id>, PMID: <pub-id pub-id-type="pmid">29996878</pub-id></citation></ref>
<ref id="ref85"><label>85.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Stoppini</surname> <given-names>L</given-names></name> <name><surname>Buchs</surname> <given-names>PA</given-names></name> <name><surname>Muller</surname> <given-names>D</given-names></name></person-group>. <article-title>A simple method for organotypic cultures of nervous tissue</article-title>. <source>J Neurosci Methods</source>. (<year>1991</year>) <volume>37</volume>:<fpage>173</fpage>&#x2013;<lpage>82</lpage>. doi: <pub-id pub-id-type="doi">10.1016/0165-0270(91)90128-m</pub-id></citation></ref>
<ref id="ref86"><label>86.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>De Simoni</surname> <given-names>A</given-names></name> <name><surname>Yu</surname> <given-names>LMY</given-names></name></person-group>. <article-title>Preparation of organotypic hippocampal slice cultures: interface method</article-title>. <source>Nat Protoc</source>. (<year>2006</year>) <volume>1</volume>:<fpage>1439</fpage>&#x2013;<lpage>45</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nprot.2006.228</pub-id></citation></ref>
<ref id="ref87"><label>87.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schwarz</surname> <given-names>N</given-names></name> <name><surname>Uysal</surname> <given-names>B</given-names></name> <name><surname>Welzer</surname> <given-names>M</given-names></name> <name><surname>Bahr</surname> <given-names>JC</given-names></name> <name><surname>Layer</surname> <given-names>N</given-names></name> <name><surname>L&#x00F6;ffler</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Long-term adult human brain slice cultures as a model system to study human CNS circuitry and disease</article-title>. <source>eLife</source>. (<year>2019</year>) <volume>8</volume>:<fpage>e48417</fpage>. doi: <pub-id pub-id-type="doi">10.7554/eLife.48417</pub-id>, PMID: <pub-id pub-id-type="pmid">31498083</pub-id></citation></ref>
<ref id="ref88"><label>88.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jones</surname> <given-names>RSG</given-names></name> <name><surname>da Silva</surname> <given-names>AB</given-names></name> <name><surname>Whittaker</surname> <given-names>RG</given-names></name> <name><surname>Woodhall</surname> <given-names>GL</given-names></name> <name><surname>Cunningham</surname> <given-names>MO</given-names></name></person-group>. <article-title>Human brain slices for epilepsy research: pitfalls, solutions and future challenges</article-title>. <source>J Neurosci Methods</source>. (<year>2016</year>) <volume>260</volume>:<fpage>221</fpage>&#x2013;<lpage>32</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jneumeth.2015.09.021</pub-id>, PMID: <pub-id pub-id-type="pmid">26434706</pub-id></citation></ref>
<ref id="ref89"><label>89.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shi</surname> <given-names>Y</given-names></name> <name><surname>Inoue</surname> <given-names>H</given-names></name> <name><surname>Wu</surname> <given-names>JC</given-names></name> <name><surname>Yamanaka</surname> <given-names>S</given-names></name></person-group>. <article-title>Induced pluripotent stem cell technology: a decade of progress</article-title>. <source>Nat Rev Drug Discov</source>. (<year>2017</year>) <volume>16</volume>:<fpage>115</fpage>&#x2013;<lpage>30</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrd.2016.245</pub-id>, PMID: <pub-id pub-id-type="pmid">27980341</pub-id></citation></ref>
<ref id="ref90"><label>90.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bassett</surname> <given-names>AR</given-names></name></person-group>. <article-title>Editing the genome of hiPSC with CRISPR/Cas9: disease models</article-title>. <source>Mamm Genome</source>. (<year>2017</year>) <volume>28</volume>:<fpage>348</fpage>&#x2013;<lpage>64</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00335-017-9684-9</pub-id></citation></ref>
<ref id="ref91"><label>91.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Srikanth</surname> <given-names>P</given-names></name> <name><surname>Young-Pearse</surname> <given-names>TL</given-names></name></person-group>. <article-title>Stem cells on the brain: modeling neurodevelopmental and neurodegenerative diseases using human induced pluripotent stem cells</article-title>. <source>J Neurogenet</source>. (<year>2014</year>) <volume>28</volume>:<fpage>5</fpage>&#x2013;<lpage>29</lpage>. doi: <pub-id pub-id-type="doi">10.3109/01677063.2014.881358</pub-id></citation></ref>
<ref id="ref92"><label>92.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tidball</surname> <given-names>AM</given-names></name> <name><surname>Parent</surname> <given-names>JM</given-names></name></person-group>. <article-title>Concise review: exciting cells: modeling genetic epilepsies with patient-derived induced pluripotent stem cells</article-title>. <source>Stem Cells</source>. (<year>2016</year>) <volume>34</volume>:<fpage>27</fpage>&#x2013;<lpage>33</lpage>. doi: <pub-id pub-id-type="doi">10.1002/stem.2203</pub-id></citation></ref>
<ref id="ref93"><label>93.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Simkin</surname> <given-names>D</given-names></name> <name><surname>Ambrosi</surname> <given-names>C</given-names></name> <name><surname>Marshall</surname> <given-names>KA</given-names></name> <name><surname>Williams</surname> <given-names>LA</given-names></name> <name><surname>Eisenberg</surname> <given-names>J</given-names></name> <name><surname>Gharib</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Channeling therapeutic discovery for epileptic encephalopathy through iPSC technologies</article-title>. <source>Trends Pharmacol Sci</source>. (<year>2022</year>) <volume>43</volume>:<fpage>392</fpage>&#x2013;<lpage>405</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tips.2022.03.001</pub-id>, PMID: <pub-id pub-id-type="pmid">35427475</pub-id></citation></ref>
<ref id="ref94"><label>94.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hirose</surname> <given-names>S</given-names></name> <name><surname>Tanaka</surname> <given-names>Y</given-names></name> <name><surname>Shibata</surname> <given-names>M</given-names></name> <name><surname>Kimura</surname> <given-names>Y</given-names></name> <name><surname>Ishikawa</surname> <given-names>M</given-names></name> <name><surname>Higurashi</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Application of induced pluripotent stem cells in epilepsy</article-title>. <source>Mol Cell Neurosci</source>. (<year>2020</year>) <volume>108</volume>:<fpage>103535</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.mcn.2020.103535</pub-id>, PMID: <pub-id pub-id-type="pmid">32758699</pub-id></citation></ref>
<ref id="ref95"><label>95.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Javaid</surname> <given-names>MS</given-names></name> <name><surname>Tan</surname> <given-names>T</given-names></name> <name><surname>Dvir</surname> <given-names>N</given-names></name> <name><surname>Anderson</surname> <given-names>A</given-names></name> <name><surname>O&#x2019;Brien</surname> <given-names>TJ</given-names></name> <name><surname>Kwan</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Human <italic>in vitro</italic> models of epilepsy using embryonic and induced pluripotent stem cells</article-title>. <source>Cells</source>. (<year>2022</year>) <volume>11</volume>:<fpage>3957</fpage>. doi: <pub-id pub-id-type="doi">10.3390/cells11243957</pub-id>, PMID: <pub-id pub-id-type="pmid">36552721</pub-id></citation></ref>
<ref id="ref96"><label>96.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Higurashi</surname> <given-names>N</given-names></name> <name><surname>Uchida</surname> <given-names>T</given-names></name> <name><surname>Lossin</surname> <given-names>C</given-names></name> <name><surname>Misumi</surname> <given-names>Y</given-names></name> <name><surname>Okada</surname> <given-names>Y</given-names></name> <name><surname>Akamatsu</surname> <given-names>W</given-names></name> <etal/></person-group>. <article-title>A human Dravet syndrome model from patient induced pluripotent stem cells, molecular</article-title>. <source>Brain</source>. (<year>2013</year>) <volume>6</volume>:<fpage>19</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1756-6606-6-19</pub-id>, PMID: <pub-id pub-id-type="pmid">23639079</pub-id></citation></ref>
<ref id="ref97"><label>97.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jiao</surname> <given-names>J</given-names></name> <name><surname>Yang</surname> <given-names>Y</given-names></name> <name><surname>Shi</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>J</given-names></name> <name><surname>Gao</surname> <given-names>R</given-names></name> <name><surname>Fan</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Modeling Dravet syndrome using induced pluripotent stem cells (iPSCs) and directly converted neurons</article-title>. <source>Hum Mol Genet</source>. (<year>2013</year>) <volume>22</volume>:<fpage>4241</fpage>&#x2013;<lpage>52</lpage>. doi: <pub-id pub-id-type="doi">10.1093/hmg/ddt275</pub-id>, PMID: <pub-id pub-id-type="pmid">23773995</pub-id></citation></ref>
<ref id="ref98"><label>98.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>Y</given-names></name> <name><surname>Lopez-Santiago</surname> <given-names>LF</given-names></name> <name><surname>Yuan</surname> <given-names>Y</given-names></name> <name><surname>Jones</surname> <given-names>JM</given-names></name> <name><surname>Zhang</surname> <given-names>H</given-names></name> <name><surname>O'Malley</surname> <given-names>HA</given-names></name> <etal/></person-group>. <article-title>Dravet syndrome patient-derived neurons suggest a novel epilepsy mechanism</article-title>. <source>Ann Neurol</source>. (<year>2013</year>) <volume>74</volume>:<fpage>128</fpage>&#x2013;<lpage>39</lpage>. doi: <pub-id pub-id-type="doi">10.1002/ana.23897</pub-id>, PMID: <pub-id pub-id-type="pmid">23821540</pub-id></citation></ref>
<ref id="ref99"><label>99.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cheung</surname> <given-names>AYL</given-names></name> <name><surname>Horvath</surname> <given-names>LM</given-names></name> <name><surname>Grafodatskaya</surname> <given-names>D</given-names></name> <name><surname>Pasceri</surname> <given-names>P</given-names></name> <name><surname>Weksberg</surname> <given-names>R</given-names></name> <name><surname>Hotta</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Isolation of MECP2-null Rett syndrome patient hiPS cells and isogenic controls through X-chromosome inactivation</article-title>. <source>Hum Mol Genet</source>. (<year>2011</year>) <volume>20</volume>:<fpage>2103</fpage>&#x2013;<lpage>15</lpage>. doi: <pub-id pub-id-type="doi">10.1093/hmg/ddr093</pub-id>, PMID: <pub-id pub-id-type="pmid">21372149</pub-id></citation></ref>
<ref id="ref100"><label>100.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Marchetto</surname> <given-names>MCN</given-names></name> <name><surname>Carromeu</surname> <given-names>C</given-names></name> <name><surname>Acab</surname> <given-names>A</given-names></name> <name><surname>Yu</surname> <given-names>D</given-names></name> <name><surname>Yeo</surname> <given-names>GW</given-names></name> <name><surname>Mu</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>A model for neural development and treatment of Rett syndrome using human induced pluripotent stem cells</article-title>. <source>Cells</source>. (<year>2010</year>) <volume>143</volume>:<fpage>527</fpage>&#x2013;<lpage>39</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2010.10.016</pub-id>, PMID: <pub-id pub-id-type="pmid">21074045</pub-id></citation></ref>
<ref id="ref101"><label>101.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chamberlain</surname> <given-names>SJ</given-names></name> <name><surname>Chen</surname> <given-names>PF</given-names></name> <name><surname>Ng</surname> <given-names>KY</given-names></name> <name><surname>Bourgois-Rocha</surname> <given-names>F</given-names></name> <name><surname>Lemtiri-Chlieh</surname> <given-names>F</given-names></name> <name><surname>Levine</surname> <given-names>ES</given-names></name> <etal/></person-group>. <article-title>Induced pluripotent stem cell models of the genomic imprinting disorders Angelman and Prader-Willi syndromes</article-title>. <source>Proc Natl Acad Sci U S A</source>. (<year>2010</year>) <volume>107</volume>:<fpage>17668</fpage>&#x2013;<lpage>73</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1004487107</pub-id>, PMID: <pub-id pub-id-type="pmid">20876107</pub-id></citation></ref>
<ref id="ref102"><label>102.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Simkin</surname> <given-names>D</given-names></name> <name><surname>Kiskinis</surname> <given-names>E</given-names></name></person-group>. <article-title>Modeling pediatric epilepsy through iPSC-based technologies, epilepsy</article-title>. <source>Currents</source>. (<year>2018</year>) <volume>18</volume>:<fpage>240</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.5698/1535-7597.18.4.240</pub-id></citation></ref>
<ref id="ref103"><label>103.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>McTague</surname> <given-names>A</given-names></name> <name><surname>Rossignoli</surname> <given-names>G</given-names></name> <name><surname>Ferrini</surname> <given-names>A</given-names></name> <name><surname>Barral</surname> <given-names>S</given-names></name> <name><surname>Kurian</surname> <given-names>MA</given-names></name></person-group>. <article-title>Genome editing in iPSC-based neural systems: from disease models to future therapeutic strategies</article-title>. <source>Front Genome Edit</source>. (<year>2021</year>) <volume>3</volume>:<fpage>630600</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fgeed.2021.630600</pub-id>, PMID: <pub-id pub-id-type="pmid">34713254</pub-id></citation></ref>
<ref id="ref104"><label>104.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kwart</surname> <given-names>D</given-names></name> <name><surname>Gregg</surname> <given-names>A</given-names></name> <name><surname>Scheckel</surname> <given-names>C</given-names></name> <name><surname>Murphy</surname> <given-names>EA</given-names></name> <name><surname>Paquet</surname> <given-names>D</given-names></name> <name><surname>Duffield</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>A large panel of isogenic APP and PSEN1 mutant human iPSC neurons reveals shared endosomal abnormalities mediated by APP &#x03B2;-CTFs, not A&#x03B2;</article-title>. <source>Neuron</source>. (<year>2019</year>) <volume>104</volume>:<fpage>256</fpage>&#x2013;<lpage>270.e5</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2019.07.010</pub-id>, PMID: <pub-id pub-id-type="pmid">31416668</pub-id></citation></ref>
<ref id="ref105"><label>105.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Gao</surname> <given-names>C</given-names></name> <name><surname>Chen</surname> <given-names>W</given-names></name> <name><surname>Ma</surname> <given-names>W</given-names></name> <name><surname>Li</surname> <given-names>X</given-names></name> <name><surname>Shi</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>CRISPR/Cas9 facilitates investigation of neural circuit disease using human iPSCs: mechanism of epilepsy caused by an SCN1A loss-of-function mutation, translational</article-title>. <source>Transl Psychiatry</source>. (<year>2016</year>) <volume>6</volume>:<fpage>e703</fpage>. doi: <pub-id pub-id-type="doi">10.1038/tp.2015.203</pub-id>, PMID: <pub-id pub-id-type="pmid">26731440</pub-id></citation></ref>
<ref id="ref106"><label>106.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xie</surname> <given-names>Y</given-names></name> <name><surname>Ng</surname> <given-names>NN</given-names></name> <name><surname>Safrina</surname> <given-names>OS</given-names></name> <name><surname>Ramos</surname> <given-names>CM</given-names></name> <name><surname>Ess</surname> <given-names>KC</given-names></name> <name><surname>Schwartz</surname> <given-names>PH</given-names></name> <etal/></person-group>. <article-title>Comparisons of dual isogenic human iPSC pairs identify functional alterations directly caused by an epilepsy associated SCN1A mutation</article-title>. <source>Neurobiol Dis</source>. (<year>2020</year>) <volume>134</volume>:<fpage>104627</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.nbd.2019.104627</pub-id>, PMID: <pub-id pub-id-type="pmid">31786370</pub-id></citation></ref>
<ref id="ref107"><label>107.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Simkin</surname> <given-names>D</given-names></name> <name><surname>Marshall</surname> <given-names>KA</given-names></name> <name><surname>Vanoye</surname> <given-names>CG</given-names></name> <name><surname>Desai</surname> <given-names>RR</given-names></name> <name><surname>Bustos</surname> <given-names>BI</given-names></name> <name><surname>Piyevsky</surname> <given-names>BN</given-names></name> <etal/></person-group>. <article-title>Dyshomeostatic modulation of Ca<sup>2+</sup>-activated K<sup>+</sup> channels in a human neuronal model of KCNQ2 encephalopathy</article-title>. <source>eLife</source>. (<year>2021</year>) <volume>10</volume>:<fpage>e64434</fpage>. doi: <pub-id pub-id-type="doi">10.7554/eLife.64434</pub-id>, PMID: <pub-id pub-id-type="pmid">33544076</pub-id></citation></ref>
<ref id="ref108"><label>108.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lancaster</surname> <given-names>MA</given-names></name> <name><surname>Renner</surname> <given-names>M</given-names></name> <name><surname>Martin</surname> <given-names>CA</given-names></name> <name><surname>Wenzel</surname> <given-names>D</given-names></name> <name><surname>Bicknell</surname> <given-names>LS</given-names></name> <name><surname>Hurles</surname> <given-names>ME</given-names></name> <etal/></person-group>. <article-title>Cerebral organoids model human brain development and microcephaly</article-title>. <source>Nature</source>. (<year>2013</year>) <volume>501</volume>:<fpage>373</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature12517</pub-id>, PMID: <pub-id pub-id-type="pmid">23995685</pub-id></citation></ref>
<ref id="ref109"><label>109.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>W</given-names></name> <name><surname>Sun</surname> <given-names>W</given-names></name> <name><surname>Zhang</surname> <given-names>Y</given-names></name> <name><surname>Wei</surname> <given-names>W</given-names></name> <name><surname>Ambasudhan</surname> <given-names>R</given-names></name> <name><surname>Xia</surname> <given-names>P</given-names></name> <etal/></person-group>. <article-title>Rapid induction and long-term self-renewal of primitive neural precursors from human embryonic stem cells by small molecule inhibitors</article-title>. <source>Proc Natl Acad Sci U S A</source>. (<year>2011</year>) <volume>108</volume>:<fpage>8299</fpage>&#x2013;<lpage>304</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1014041108</pub-id>, PMID: <pub-id pub-id-type="pmid">21525408</pub-id></citation></ref>
<ref id="ref110"><label>110.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Benito-Kwiecinski</surname> <given-names>S</given-names></name> <name><surname>Lancaster</surname> <given-names>MA</given-names></name></person-group>. <article-title>Brain organoids: human neurodevelopment in a dish</article-title>. <source>Cold Spring Harb Perspect Biol</source>. (<year>2020</year>) <volume>12</volume>:<fpage>a035709</fpage>. doi: <pub-id pub-id-type="doi">10.1101/cshperspect.a035709</pub-id></citation></ref>
<ref id="ref111"><label>111.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Di Lullo</surname> <given-names>E</given-names></name> <name><surname>Kriegstein</surname> <given-names>AR</given-names></name></person-group>. <article-title>The use of brain organoids to investigate neural development and disease</article-title>. <source>Nat Rev Neurosci</source>. (<year>2017</year>) <volume>18</volume>:<fpage>573</fpage>&#x2013;<lpage>84</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrn.2017.107</pub-id></citation></ref>
<ref id="ref112"><label>112.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Qian</surname> <given-names>X</given-names></name> <name><surname>Song</surname> <given-names>H</given-names></name> <name><surname>Ming</surname> <given-names>G-L</given-names></name></person-group>. <article-title>Brain organoids: advances, applications and challenges</article-title>. <source>Development</source>. (<year>2019</year>) <volume>146</volume>:<fpage>dev166074</fpage>. doi: <pub-id pub-id-type="doi">10.1242/dev.166074</pub-id></citation></ref>
<ref id="ref113"><label>113.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kanton</surname> <given-names>S</given-names></name> <name><surname>Pa&#x015F;ca</surname> <given-names>SP</given-names></name></person-group>. <article-title>Human assembloids</article-title>. <source>Development</source>. (<year>2022</year>) <volume>149</volume>:<fpage>dev201120</fpage>. doi: <pub-id pub-id-type="doi">10.1242/dev.201120</pub-id></citation></ref>
<ref id="ref114"><label>114.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Miura</surname> <given-names>Y</given-names></name> <name><surname>Li</surname> <given-names>MY</given-names></name> <name><surname>Revah</surname> <given-names>O</given-names></name> <name><surname>Yoon</surname> <given-names>SJ</given-names></name> <name><surname>Narazaki</surname> <given-names>G</given-names></name> <name><surname>Pa&#x0219;ca</surname> <given-names>SP</given-names></name></person-group>. <article-title>Engineering brain assembloids to interrogate human neural circuits</article-title>. <source>Nat Protoc</source>. (<year>2022</year>) <volume>17</volume>:<fpage>15</fpage>&#x2013;<lpage>35</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41596-021-00632-z</pub-id>, PMID: <pub-id pub-id-type="pmid">34992269</pub-id></citation></ref>
<ref id="ref115"><label>115.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhu</surname> <given-names>Y</given-names></name> <name><surname>Zhang</surname> <given-names>X</given-names></name> <name><surname>Sun</surname> <given-names>L</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Zhao</surname> <given-names>Y</given-names></name></person-group>. <article-title>Engineering human brain assembloids by microfluidics</article-title>. <source>Adv Mater</source>. (<year>2023</year>) <volume>35</volume>:<fpage>e2210083</fpage>. doi: <pub-id pub-id-type="doi">10.1002/adma.202210083</pub-id>, PMID: <pub-id pub-id-type="pmid">36634089</pub-id></citation></ref>
<ref id="ref116"><label>116.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nieto-Est&#x00E9;vez</surname> <given-names>V</given-names></name> <name><surname>Hsieh</surname> <given-names>J</given-names></name></person-group>. <article-title>Human brain organoid models of developmental epilepsies, epilepsy</article-title>. <source>Currents</source>. (<year>2020</year>) <volume>20</volume>:<fpage>282</fpage>&#x2013;<lpage>90</lpage>. doi: <pub-id pub-id-type="doi">10.1177/1535759720949254</pub-id></citation></ref>
<ref id="ref117"><label>117.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>di Matteo</surname> <given-names>F</given-names></name> <name><surname>Pipicelli</surname> <given-names>F</given-names></name> <name><surname>Kyrousi</surname> <given-names>C</given-names></name> <name><surname>Tovecci</surname> <given-names>I</given-names></name> <name><surname>Penna</surname> <given-names>E</given-names></name> <name><surname>Crispino</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Cystatin B is essential for proliferation and interneuron migration in individuals with EPM1 epilepsy</article-title>. <source>EMBO Mol Med</source>. (<year>2020</year>) <volume>12</volume>:<fpage>e11419</fpage>. doi: <pub-id pub-id-type="doi">10.15252/emmm.201911419</pub-id>, PMID: <pub-id pub-id-type="pmid">32378798</pub-id></citation></ref>
<ref id="ref118"><label>118.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hengel</surname> <given-names>H</given-names></name> <name><surname>Bosso-Lef&#x00E8;vre</surname> <given-names>C</given-names></name> <name><surname>Grady</surname> <given-names>G</given-names></name> <name><surname>Szenker-Ravi</surname> <given-names>E</given-names></name> <name><surname>Li</surname> <given-names>H</given-names></name> <name><surname>Pierce</surname> <given-names>S</given-names></name> <etal/></person-group>. <article-title>Loss-of-function mutations in UDP-glucose 6-dehydrogenase cause recessive developmental epileptic encephalopathy</article-title>. <source>Nat Commun</source>. (<year>2020</year>) <volume>11</volume>:<fpage>595</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-020-14360-7</pub-id>, PMID: <pub-id pub-id-type="pmid">32001716</pub-id></citation></ref>
<ref id="ref119"><label>119.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sun</surname> <given-names>AX</given-names></name> <name><surname>Yuan</surname> <given-names>Q</given-names></name> <name><surname>Fukuda</surname> <given-names>M</given-names></name> <name><surname>Yu</surname> <given-names>W</given-names></name> <name><surname>Yan</surname> <given-names>H</given-names></name> <name><surname>Lim</surname> <given-names>GGY</given-names></name> <etal/></person-group>. <article-title>Potassium channel dysfunction in human neuronal models of Angelman syndrome</article-title>. <source>Science</source>. (<year>2019</year>) <volume>366</volume>:<fpage>1486</fpage>&#x2013;<lpage>92</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.aav5386</pub-id>, PMID: <pub-id pub-id-type="pmid">31857479</pub-id></citation></ref>
<ref id="ref120"><label>120.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Samarasinghe</surname> <given-names>RA</given-names></name> <name><surname>Miranda</surname> <given-names>OA</given-names></name> <name><surname>Buth</surname> <given-names>JE</given-names></name> <name><surname>Mitchell</surname> <given-names>S</given-names></name> <name><surname>Ferando</surname> <given-names>I</given-names></name> <name><surname>Watanabe</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Identification of neural oscillations and epileptiform changes in human brain organoids</article-title>. <source>Nat Neurosci</source>. (<year>2021</year>) <volume>24</volume>:<fpage>1488</fpage>&#x2013;<lpage>500</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41593-021-00906-5</pub-id>, PMID: <pub-id pub-id-type="pmid">34426698</pub-id></citation></ref>
<ref id="ref121"><label>121.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Steinberg</surname> <given-names>DJ</given-names></name> <name><surname>Repudi</surname> <given-names>S</given-names></name> <name><surname>Saleem</surname> <given-names>A</given-names></name> <name><surname>Kustanovich</surname> <given-names>I</given-names></name> <name><surname>Viukov</surname> <given-names>S</given-names></name> <name><surname>Abudiab</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Modeling genetic epileptic encephalopathies using brain organoids</article-title>. <source>EMBO Mol Med</source>. (<year>2021</year>) <volume>13</volume>:<fpage>e13610</fpage>. doi: <pub-id pub-id-type="doi">10.15252/emmm.202013610</pub-id>, PMID: <pub-id pub-id-type="pmid">34268881</pub-id></citation></ref>
<ref id="ref122"><label>122.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pellegrini</surname> <given-names>L</given-names></name> <name><surname>Bonfio</surname> <given-names>C</given-names></name> <name><surname>Chadwick</surname> <given-names>J</given-names></name> <name><surname>Begum</surname> <given-names>F</given-names></name> <name><surname>Skehel</surname> <given-names>M</given-names></name> <name><surname>Lancaster</surname> <given-names>MA</given-names></name></person-group>. <article-title>Human CNS barrier-forming organoids with cerebrospinal fluid production</article-title>. <source>Science</source>. (<year>2020</year>) <volume>369</volume>:<fpage>eaaz5626</fpage>. doi: <pub-id pub-id-type="doi">10.1126/science.aaz5626</pub-id>, PMID: <pub-id pub-id-type="pmid">32527923</pub-id></citation></ref>
<ref id="ref123"><label>123.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sakai</surname> <given-names>C</given-names></name> <name><surname>Ijaz</surname> <given-names>S</given-names></name> <name><surname>Hoffman</surname> <given-names>EJ</given-names></name></person-group>. <article-title>Zebrafish models of neurodevelopmental disorders: past, present, and future</article-title>. <source>Front Mol Neurosci</source>. (<year>2018</year>) <volume>11</volume>:<fpage>294</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnmol.2018.00294</pub-id></citation></ref>
<ref id="ref124"><label>124.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cornet</surname> <given-names>C</given-names></name> <name><surname>Di Donato</surname> <given-names>V</given-names></name> <name><surname>Terriente</surname> <given-names>J</given-names></name></person-group>. <article-title>Combining zebrafish and CRISPR/Cas9: toward a more efficient drug discovery pipeline</article-title>. <source>Front Pharmacol</source>. (<year>2018</year>) <volume>9</volume>:<fpage>703</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2018.00703</pub-id></citation></ref>
<ref id="ref125"><label>125.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rubbini</surname> <given-names>D</given-names></name> <name><surname>Cornet</surname> <given-names>C</given-names></name> <name><surname>Terriente</surname> <given-names>J</given-names></name> <name><surname>di Donato</surname> <given-names>V</given-names></name></person-group>. <article-title>CRISPR meets zebrafish: accelerating the discovery of new therapeutic targets</article-title>. <source>SLAS Discov</source>. (<year>2020</year>) <volume>25</volume>:<fpage>552</fpage>&#x2013;<lpage>67</lpage>. doi: <pub-id pub-id-type="doi">10.1177/2472555220926920</pub-id>, PMID: <pub-id pub-id-type="pmid">32462967</pub-id></citation></ref>
<ref id="ref126"><label>126.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Yaksi</surname> <given-names>E</given-names></name> <name><surname>Jamali</surname> <given-names>A</given-names></name> <name><surname>Diaz Verdugo</surname> <given-names>C</given-names></name> <name><surname>Jurisch-Yaksi</surname> <given-names>N</given-names></name></person-group>. <article-title>Past, present and future of zebrafish in epilepsy research</article-title>. <source>FEBS J.</source> (<year>2021</year>) <volume>288</volume>:<fpage>7243</fpage>&#x2013;<lpage>7255</lpage>. doi: <pub-id pub-id-type="doi">10.1111/febs.15694</pub-id></citation></ref>
<ref id="ref127"><label>127.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kundap</surname> <given-names>UP</given-names></name> <name><surname>Kumari</surname><given-names>Y</given-names> <suffix>YK</suffix></name> <name><surname>Othman</surname><given-names>I</given-names> <suffix>IO</suffix></name> <name><surname>Shaikh</surname><given-names>MF</given-names> <suffix>MFS</suffix></name></person-group>. <article-title>Zebrafish as a model for epilepsy-induced cognitive dysfunction: a pharmacological, biochemical and behavioral approach</article-title>. <source>Front Pharmacol</source>. (<year>2017</year>) <volume>8</volume>:<fpage>515</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2017.00515</pub-id>, PMID: <pub-id pub-id-type="pmid">28824436</pub-id></citation></ref>
<ref id="ref128"><label>128.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kalueff</surname> <given-names>AV</given-names></name> <name><surname>Stewart</surname> <given-names>AM</given-names></name> <name><surname>Gerlai</surname> <given-names>R</given-names></name></person-group>. <article-title>Zebrafish as an emerging model for studying complex brain disorders</article-title>. <source>Trends Pharmacol Sci</source>. (<year>2014</year>) <volume>35</volume>:<fpage>63</fpage>&#x2013;<lpage>75</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tips.2013.12.002</pub-id>, PMID: <pub-id pub-id-type="pmid">24412421</pub-id></citation></ref>
<ref id="ref129"><label>129.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Amo</surname> <given-names>R</given-names></name> <name><surname>Aizawa</surname> <given-names>H</given-names></name> <name><surname>Takahoko</surname> <given-names>M</given-names></name> <name><surname>Kobayashi</surname> <given-names>M</given-names></name> <name><surname>Takahashi</surname> <given-names>R</given-names></name> <name><surname>Aoki</surname> <given-names>T</given-names></name> <etal/></person-group>. <article-title>Identification of the zebrafish ventral habenula as a homolog of the mammalian lateral habenula</article-title>. <source>J Neurosci Off J Soc Neurosci</source>. (<year>2010</year>) <volume>30</volume>:<fpage>1566</fpage>&#x2013;<lpage>74</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.3690-09.2010</pub-id></citation></ref>
<ref id="ref130"><label>130.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mueller</surname> <given-names>T</given-names></name> <name><surname>Vernier</surname> <given-names>P</given-names></name> <name><surname>Wullimann</surname> <given-names>MF</given-names></name></person-group>. <article-title>The adult central nervous cholinergic system of a neurogenetic model animal, the zebrafish <italic>Danio rerio</italic></article-title>. <source>Brain Res</source>. (<year>2004</year>) <volume>1011</volume>:<fpage>156</fpage>&#x2013;<lpage>69</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.brainres.2004.02.073</pub-id>, PMID: <pub-id pub-id-type="pmid">15157802</pub-id></citation></ref>
<ref id="ref131"><label>131.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rink</surname> <given-names>E</given-names></name> <name><surname>Wullimann</surname> <given-names>MF</given-names></name></person-group>. <article-title>Development of the catecholaminergic system in the early zebrafish brain: an immunohistochemical study</article-title>. <source>Brain Res Dev Brain Res</source>. (<year>2002</year>) <volume>137</volume>:<fpage>89</fpage>&#x2013;<lpage>100</lpage>. doi: <pub-id pub-id-type="doi">10.1016/s0165-3806(02)00354-1</pub-id></citation></ref>
<ref id="ref132"><label>132.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>K&#x00F6;ster</surname> <given-names>RW</given-names></name> <name><surname>Fraser</surname> <given-names>SE</given-names></name></person-group>. <article-title>FGF signaling mediates regeneration of the differentiating cerebellum through repatterning of the anterior hindbrain and reinitiation of neuronal migration, the journal of neuroscience: the official journal of the society for</article-title>. <source>Neuroscience</source>. (<year>2006</year>) <volume>26</volume>:<fpage>7293</fpage>&#x2013;<lpage>304</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.0095-06.2006</pub-id></citation></ref>
<ref id="ref133"><label>133.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mathuru</surname> <given-names>AS</given-names></name> <name><surname>Jesuthasan</surname> <given-names>S</given-names></name></person-group>. <article-title>The medial habenula as a regulator of anxiety in adult zebrafish</article-title>. <source>Front Neural Circ</source>. (<year>2013</year>) <volume>7</volume>:<fpage>99</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fncir.2013.00099</pub-id></citation></ref>
<ref id="ref134"><label>134.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Beretta</surname> <given-names>CA</given-names></name> <name><surname>Dross</surname> <given-names>N</given-names></name> <name><surname>Guiterrez-Triana</surname> <given-names>JA</given-names></name> <name><surname>Ryu</surname> <given-names>S</given-names></name> <name><surname>Carl</surname> <given-names>M</given-names></name></person-group>. <article-title>Habenula circuit development: past, present, and future</article-title>. <source>Front Neurosci</source>. (<year>2012</year>) <volume>6</volume>:<fpage>51</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnins.2012.00051</pub-id>, PMID: <pub-id pub-id-type="pmid">22536170</pub-id></citation></ref>
<ref id="ref135"><label>135.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Welberg</surname> <given-names>L</given-names></name></person-group>. <article-title>Psychiatric disorders: reining in the habenula?</article-title> <source>Nat Rev Neurosci</source>. (<year>2013</year>) <volume>14</volume>:<fpage>668</fpage>&#x2013;<lpage>9</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrn3602</pub-id></citation></ref>
<ref id="ref136"><label>136.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Anichtchik</surname> <given-names>O</given-names></name> <name><surname>Sallinen</surname> <given-names>V</given-names></name> <name><surname>Peitsaro</surname> <given-names>N</given-names></name> <name><surname>Panula</surname> <given-names>P</given-names></name></person-group>. <article-title>Distinct structure and activity of monoamine oxidase in the brain of zebrafish (<italic>Danio rerio</italic>)</article-title>. <source>J Comp Neurol</source>. (<year>2006</year>) <volume>498</volume>:<fpage>593</fpage>&#x2013;<lpage>610</lpage>. doi: <pub-id pub-id-type="doi">10.1002/cne.21057</pub-id>, PMID: <pub-id pub-id-type="pmid">16917825</pub-id></citation></ref>
<ref id="ref137"><label>137.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>Y-C</given-names></name> <name><surname>Priyadarshini</surname> <given-names>M</given-names></name> <name><surname>Panula</surname> <given-names>P</given-names></name></person-group>. <article-title>Complementary developmental expression of the two tyrosine hydroxylase transcripts in zebrafish</article-title>. <source>Histochem Cell Biol</source>. (<year>2009</year>) <volume>132</volume>:<fpage>375</fpage>&#x2013;<lpage>81</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00418-009-0619-8</pub-id></citation></ref>
<ref id="ref138"><label>138.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Panula</surname> <given-names>P</given-names></name> <name><surname>Sallinen</surname> <given-names>V</given-names></name> <name><surname>Sundvik</surname> <given-names>M</given-names></name> <name><surname>Kolehmainen</surname> <given-names>J</given-names></name> <name><surname>Torkko</surname> <given-names>V</given-names></name> <name><surname>Tiittula</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Modulatory neurotransmitter systems and behavior: towards zebrafish models of neurodegenerative diseases</article-title>. <source>Zebrafish</source>. (<year>2006</year>) <volume>3</volume>:<fpage>235</fpage>&#x2013;<lpage>47</lpage>. doi: <pub-id pub-id-type="doi">10.1089/zeb.2006.3.235</pub-id>, PMID: <pub-id pub-id-type="pmid">18248264</pub-id></citation></ref>
<ref id="ref139"><label>139.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Becker</surname> <given-names>TS</given-names></name> <name><surname>Rinkwitz</surname> <given-names>S</given-names></name></person-group>. <article-title>Zebrafish as a genomics model for human neurological and polygenic disorders</article-title>. <source>Dev Neurobiol</source>. (<year>2012</year>) <volume>72</volume>:<fpage>415</fpage>&#x2013;<lpage>28</lpage>. doi: <pub-id pub-id-type="doi">10.1002/dneu.20888</pub-id></citation></ref>
<ref id="ref140"><label>140.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Panula</surname> <given-names>P</given-names></name> <name><surname>Chen</surname> <given-names>YC</given-names></name> <name><surname>Priyadarshini</surname> <given-names>M</given-names></name> <name><surname>Kudo</surname> <given-names>H</given-names></name> <name><surname>Semenova</surname> <given-names>S</given-names></name> <name><surname>Sundvik</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>The comparative neuroanatomy and neurochemistry of zebrafish CNS systems of relevance to human neuropsychiatric diseases</article-title>. <source>Neurobiol Dis</source>. (<year>2010</year>) <volume>40</volume>:<fpage>46</fpage>&#x2013;<lpage>57</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.nbd.2010.05.010</pub-id>, PMID: <pub-id pub-id-type="pmid">20472064</pub-id></citation></ref>
<ref id="ref141"><label>141.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Griffiths</surname> <given-names>BB</given-names></name> <name><surname>Schoonheim</surname> <given-names>PJ</given-names></name> <name><surname>Ziv</surname> <given-names>L</given-names></name> <name><surname>Voelker</surname> <given-names>L</given-names></name> <name><surname>Baier</surname> <given-names>H</given-names></name> <name><surname>Gahtan</surname> <given-names>E</given-names></name></person-group>. <article-title>A zebrafish model of glucocorticoid resistance shows serotonergic modulation of the stress response</article-title>. <source>Front Behav Neurosci</source>. (<year>2012</year>) <volume>6</volume>:<fpage>68</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnbeh.2012.00068</pub-id>, PMID: <pub-id pub-id-type="pmid">23087630</pub-id></citation></ref>
<ref id="ref142"><label>142.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ziv</surname> <given-names>L</given-names></name> <name><surname>Muto</surname> <given-names>A</given-names></name> <name><surname>Schoonheim</surname> <given-names>PJ</given-names></name> <name><surname>Meijsing</surname> <given-names>SH</given-names></name> <name><surname>Strasser</surname> <given-names>D</given-names></name> <name><surname>Ingraham</surname> <given-names>HA</given-names></name> <etal/></person-group>. <article-title>An affective disorder in zebrafish with mutation of the glucocorticoid receptor</article-title>. <source>Mol Psychiatry</source>. (<year>2013</year>) <volume>18</volume>:<fpage>681</fpage>&#x2013;<lpage>91</lpage>. doi: <pub-id pub-id-type="doi">10.1038/mp.2012.64</pub-id>, PMID: <pub-id pub-id-type="pmid">22641177</pub-id></citation></ref>
<ref id="ref143"><label>143.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Egan</surname> <given-names>RJ</given-names></name> <name><surname>Bergner</surname> <given-names>CL</given-names></name> <name><surname>Hart</surname> <given-names>PC</given-names></name> <name><surname>Cachat</surname> <given-names>JM</given-names></name> <name><surname>Canavello</surname> <given-names>PR</given-names></name> <name><surname>Elegante</surname> <given-names>MF</given-names></name> <etal/></person-group>. <article-title>Understanding behavioral and physiological phenotypes of stress and anxiety in zebrafish</article-title>. <source>Behav Brain Res</source>. (<year>2009</year>) <volume>205</volume>:<fpage>38</fpage>&#x2013;<lpage>44</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.bbr.2009.06.022</pub-id>, PMID: <pub-id pub-id-type="pmid">19540270</pub-id></citation></ref>
<ref id="ref144"><label>144.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dinday</surname> <given-names>MT</given-names></name> <name><surname>Baraban</surname> <given-names>SC</given-names></name></person-group>. <article-title>Large-scale phenotype-based antiepileptic drug screening in a zebrafish model of Dravet syndrome</article-title>. <source>eNeuro</source>. (<year>2015</year>) <volume>2</volume>:<fpage>ENEURO.0068-15.2015</fpage>. doi: <pub-id pub-id-type="doi">10.1523/ENEURO.0068-15.2015</pub-id></citation></ref>
<ref id="ref145"><label>145.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Baraban</surname> <given-names>SC</given-names></name> <name><surname>Taylor</surname> <given-names>MR</given-names></name> <name><surname>Castro</surname> <given-names>PA</given-names></name> <name><surname>Baier</surname> <given-names>H</given-names></name></person-group>. <article-title>Pentylenetetrazole induced changes in zebrafish behavior, neural activity and c-fos expression</article-title>. <source>Neuroscience</source>. (<year>2005</year>) <volume>131</volume>:<fpage>759</fpage>&#x2013;<lpage>68</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuroscience.2004.11.031</pub-id>, PMID: <pub-id pub-id-type="pmid">15730879</pub-id></citation></ref>
<ref id="ref146"><label>146.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Afrikanova</surname> <given-names>T</given-names></name> <name><surname>Serruys</surname> <given-names>ASK</given-names></name> <name><surname>Buenafe</surname> <given-names>OEM</given-names></name> <name><surname>Clinckers</surname> <given-names>R</given-names></name> <name><surname>Smolders</surname> <given-names>I</given-names></name> <name><surname>de Witte</surname> <given-names>PAM</given-names></name> <etal/></person-group>. <article-title>Validation of the zebrafish pentylenetetrazol seizure model: locomotor versus electrographic responses to antiepileptic drugs</article-title>. <source>PLoS One</source>. (<year>2013</year>) <volume>8</volume>:<fpage>e54166</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0054166</pub-id>, PMID: <pub-id pub-id-type="pmid">23342097</pub-id></citation></ref>
<ref id="ref147"><label>147.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Krall</surname> <given-names>RL</given-names></name> <name><surname>Penry</surname> <given-names>JK</given-names></name> <name><surname>White</surname> <given-names>BG</given-names></name> <name><surname>Kupferberg</surname> <given-names>HJ</given-names></name> <name><surname>Swinyard</surname> <given-names>EA</given-names></name></person-group>. <article-title>Antiepileptic drug development: II. Anticonvulsant drug screening</article-title>. <source>Epilepsia</source>. (<year>1978</year>) <volume>19</volume>:<fpage>409</fpage>&#x2013;<lpage>28</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1528-1157.1978.tb04507.x</pub-id></citation></ref>
<ref id="ref148"><label>148.</label> <citation citation-type="book"><person-group person-group-type="author"><name><surname>Vel&#x00ED;&#x0161;ek</surname> <given-names>L</given-names></name></person-group>. <article-title>CHAPTER 11 - models of chemically-induced acute seizures</article-title> In: <person-group person-group-type="editor"><name><surname>Pitk&#x00E4;nen</surname> <given-names>A</given-names></name> <name><surname>Schwartzkroin</surname> <given-names>PA</given-names></name> <name><surname>Mosh&#x00E9;</surname> <given-names>SL</given-names></name></person-group>, editors. <source>Models of seizures and epilepsy</source>. <publisher-loc>Burlington</publisher-loc>: <publisher-name>Academic Press</publisher-name> (<year>2006</year>). <fpage>127</fpage>&#x2013;<lpage>52</lpage>.</citation></ref>
<ref id="ref149"><label>149.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bertoncello</surname> <given-names>KT</given-names></name> <name><surname>Bonan</surname> <given-names>CD</given-names></name></person-group>. <article-title>Zebrafish as a tool for the discovery of anticonvulsant compounds from botanical constituents</article-title>. <source>Eur J Pharmacol</source>. (<year>2021</year>) <volume>908</volume>:<fpage>174342</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ejphar.2021.174342</pub-id></citation></ref>
<ref id="ref150"><label>150.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gupta</surname> <given-names>P</given-names></name> <name><surname>Khobragade</surname> <given-names>SB</given-names></name> <name><surname>Shingatgeri</surname> <given-names>VM</given-names></name></person-group>. <article-title>Effect of various antiepileptic drugs in zebrafish PTZ-seizure model</article-title>. <source>Indian J Pharm Sci</source>. (<year>2014</year>) <volume>76</volume>:<fpage>157</fpage>&#x2013;<lpage>63</lpage>. PMID: <pub-id pub-id-type="pmid">24843189</pub-id></citation></ref>
<ref id="ref151"><label>151.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mandhane</surname> <given-names>SN</given-names></name> <name><surname>Aavula</surname> <given-names>K</given-names></name> <name><surname>Rajamannar</surname> <given-names>T</given-names></name></person-group>. <article-title>Timed pentylenetetrazol infusion test: a comparative analysis with s.c.PTZ and MES models of anticonvulsant screening in mice</article-title>. <source>Seizure</source>. (<year>2007</year>) <volume>16</volume>:<fpage>636</fpage>&#x2013;<lpage>44</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.seizure.2007.05.005</pub-id></citation></ref>
<ref id="ref152"><label>152.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Alfaro</surname> <given-names>JM</given-names></name> <name><surname>Ripoll-G&#x00F3;mez</surname> <given-names>J</given-names></name> <name><surname>Burgos</surname> <given-names>JS</given-names></name></person-group>. <article-title>Kainate administered to adult zebrafish causes seizures similar to those in rodent models</article-title>. <source>Eur J Neurosci</source>. (<year>2011</year>) <volume>33</volume>:<fpage>1252</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1111/j.1460-9568.2011.07622.x</pub-id></citation></ref>
<ref id="ref153"><label>153.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>L&#x00E9;vesque</surname> <given-names>M</given-names></name> <name><surname>Avoli</surname> <given-names>M</given-names></name></person-group>. <article-title>The kainic acid model of temporal lobe epilepsy</article-title>. <source>Neurosci Biobehav Rev</source>. (<year>2013</year>) <volume>37</volume>:<fpage>2887</fpage>&#x2013;<lpage>99</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neubiorev.2013.10.011</pub-id></citation></ref>
<ref id="ref154"><label>154.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kim</surname> <given-names>Y-H</given-names></name> <name><surname>Lee</surname> <given-names>Y</given-names></name> <name><surname>Lee</surname> <given-names>K</given-names></name> <name><surname>Lee</surname> <given-names>T</given-names></name> <name><surname>Kim</surname> <given-names>YJ</given-names></name> <name><surname>Lee</surname> <given-names>CJ</given-names></name></person-group>. <article-title>Reduced neuronal proliferation by proconvulsant drugs in the developing zebrafish brain</article-title>. <source>Neurotoxicol Teratol</source>. (<year>2010</year>) <volume>32</volume>:<fpage>551</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ntt.2010.04.054</pub-id>, PMID: <pub-id pub-id-type="pmid">20420900</pub-id></citation></ref>
<ref id="ref155"><label>155.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Heylen</surname> <given-names>L</given-names></name> <name><surname>Pham</surname> <given-names>DH</given-names></name> <name><surname>de Meulemeester</surname> <given-names>AS</given-names></name> <name><surname>Samarut</surname> <given-names>&#x00C9;</given-names></name> <name><surname>Skiba</surname> <given-names>A</given-names></name> <name><surname>Copmans</surname> <given-names>D</given-names></name> <etal/></person-group>. <article-title>Pericardial injection of Kainic acid induces a chronic epileptic state in larval zebrafish</article-title>. <source>Front Mol Neurosci</source>. (<year>2021</year>) <volume>14</volume>:<fpage>753936</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnmol.2021.753936</pub-id>, PMID: <pub-id pub-id-type="pmid">34720874</pub-id></citation></ref>
<ref id="ref156"><label>156.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Duveau</surname> <given-names>V</given-names></name> <name><surname>Pouyatos</surname> <given-names>B</given-names></name> <name><surname>Bressand</surname> <given-names>K</given-names></name> <name><surname>Bouyssi&#x00E8;res</surname> <given-names>C</given-names></name> <name><surname>Chabrol</surname> <given-names>T</given-names></name> <name><surname>Roche</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Differential effects of antiepileptic drugs on focal seizures in the Intrahippocampal Kainate mouse model of mesial temporal lobe epilepsy</article-title>. <source>CNS Neurosci Ther</source>. (<year>2016</year>) <volume>22</volume>:<fpage>497</fpage>&#x2013;<lpage>506</lpage>. doi: <pub-id pub-id-type="doi">10.1111/cns.12523</pub-id>, PMID: <pub-id pub-id-type="pmid">26899987</pub-id></citation></ref>
<ref id="ref157"><label>157.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mahmood</surname> <given-names>F</given-names></name> <name><surname>Mozere</surname> <given-names>M</given-names></name> <name><surname>Zdebik</surname> <given-names>AA</given-names></name> <name><surname>Stanescu</surname> <given-names>HC</given-names></name> <name><surname>Tobin</surname> <given-names>J</given-names></name> <name><surname>Beales</surname> <given-names>PL</given-names></name> <etal/></person-group>. <article-title>Generation and validation of a zebrafish model of EAST (epilepsy, ataxia, sensorineural deafness and tubulopathy) syndrome</article-title>. <source>Dis Model Mech</source>. (<year>2013</year>) <volume>6</volume>:<fpage>652</fpage>&#x2013;<lpage>60</lpage>. doi: <pub-id pub-id-type="doi">10.1242/dmm.009480</pub-id>, PMID: <pub-id pub-id-type="pmid">23471908</pub-id></citation></ref>
<ref id="ref158"><label>158.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zdebik</surname> <given-names>AA</given-names></name> <name><surname>Mahmood</surname> <given-names>F</given-names></name> <name><surname>Stanescu</surname> <given-names>HC</given-names></name> <name><surname>Kleta</surname> <given-names>R</given-names></name> <name><surname>Bockenhauer</surname> <given-names>D</given-names></name> <name><surname>Russell</surname> <given-names>C</given-names></name></person-group>. <article-title>Epilepsy in kcnj10 morphant zebrafish assessed with a novel method for long-term EEG recordings</article-title>. <source>PLoS One</source>. (<year>2013</year>) <volume>8</volume>:<fpage>e79765</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0079765</pub-id>, PMID: <pub-id pub-id-type="pmid">24244558</pub-id></citation></ref>
<ref id="ref159"><label>159.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chege</surname> <given-names>SW</given-names></name> <name><surname>Hortopan</surname> <given-names>GA</given-names></name> <name><surname>Dinday</surname> <given-names>MT</given-names></name> <name><surname>Baraban</surname> <given-names>SC</given-names></name></person-group>. <article-title>Expression and function of KCNQ channels in larval zebrafish</article-title>. <source>Dev Neurobiol</source>. (<year>2012</year>) <volume>72</volume>:<fpage>186</fpage>&#x2013;<lpage>98</lpage>. doi: <pub-id pub-id-type="doi">10.1002/dneu.20937</pub-id>, PMID: <pub-id pub-id-type="pmid">21692188</pub-id></citation></ref>
<ref id="ref160"><label>160.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Schubert</surname> <given-names>J</given-names></name> <name><surname>Siekierska</surname> <given-names>A</given-names></name> <name><surname>Langlois</surname> <given-names>M</given-names></name> <name><surname>May</surname> <given-names>P</given-names></name> <name><surname>Huneau</surname> <given-names>C</given-names></name> <name><surname>Becker</surname> <given-names>F</given-names></name> <etal/></person-group>. <article-title>Mutations in STX1B, encoding a presynaptic protein, cause fever-associated epilepsy syndromes</article-title>. <source>Nat Genet</source>. (<year>2014</year>) <volume>46</volume>:<fpage>1327</fpage>&#x2013;<lpage>32</lpage>. doi: <pub-id pub-id-type="doi">10.1038/ng.3130</pub-id>, PMID: <pub-id pub-id-type="pmid">25362483</pub-id></citation></ref>
<ref id="ref161"><label>161.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Suls</surname> <given-names>A</given-names></name> <name><surname>Jaehn</surname> <given-names>JA</given-names></name> <name><surname>Kecsk&#x00E9;s</surname> <given-names>A</given-names></name> <name><surname>Weber</surname> <given-names>Y</given-names></name> <name><surname>Weckhuysen</surname> <given-names>S</given-names></name> <name><surname>Craiu</surname> <given-names>DC</given-names></name> <etal/></person-group>. <article-title>De novo loss-of-function mutations in CHD2 cause a fever-sensitive myoclonic epileptic encephalopathy sharing features with Dravet syndrome</article-title>. <source>Am J Hum Genet</source>. (<year>2013</year>) <volume>93</volume>:<fpage>967</fpage>&#x2013;<lpage>75</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.ajhg.2013.09.017</pub-id>, PMID: <pub-id pub-id-type="pmid">24207121</pub-id></citation></ref>
<ref id="ref162"><label>162.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kok</surname> <given-names>FO</given-names></name> <name><surname>Shin</surname> <given-names>M</given-names></name> <name><surname>Ni</surname> <given-names>CW</given-names></name> <name><surname>Gupta</surname> <given-names>A</given-names></name> <name><surname>Grosse</surname> <given-names>AS</given-names></name> <name><surname>van Impel</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Reverse genetic screening reveals poor correlation between morpholino-induced and mutant phenotypes in zebrafish</article-title>. <source>Dev Cell</source>. (<year>2015</year>) <volume>32</volume>:<fpage>97</fpage>&#x2013;<lpage>108</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.devcel.2014.11.018</pub-id>, PMID: <pub-id pub-id-type="pmid">25533206</pub-id></citation></ref>
<ref id="ref163"><label>163.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>el-Brolosy</surname> <given-names>MA</given-names></name> <name><surname>Kontarakis</surname> <given-names>Z</given-names></name> <name><surname>Rossi</surname> <given-names>A</given-names></name> <name><surname>Kuenne</surname> <given-names>C</given-names></name> <name><surname>G&#x00FC;nther</surname> <given-names>S</given-names></name> <name><surname>Fukuda</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Genetic compensation triggered by mutant mRNA degradation</article-title>. <source>Nature</source>. (<year>2019</year>) <volume>568</volume>:<fpage>193</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41586-019-1064-z</pub-id>, PMID: <pub-id pub-id-type="pmid">30944477</pub-id></citation></ref>
<ref id="ref164"><label>164.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rossi</surname> <given-names>A</given-names></name> <name><surname>Kontarakis</surname> <given-names>Z</given-names></name> <name><surname>Gerri</surname> <given-names>C</given-names></name> <name><surname>Nolte</surname> <given-names>H</given-names></name> <name><surname>H&#x00F6;lper</surname> <given-names>S</given-names></name> <name><surname>Kr&#x00FC;ger</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Genetic compensation induced by deleterious mutations but not gene knockdowns</article-title>. <source>Nature</source>. (<year>2015</year>) <volume>524</volume>:<fpage>230</fpage>&#x2013;<lpage>3</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature14580</pub-id></citation></ref>
<ref id="ref165"><label>165.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Baraban</surname> <given-names>SC</given-names></name> <name><surname>Dinday</surname> <given-names>MT</given-names></name> <name><surname>Hortopan</surname> <given-names>GA</given-names></name></person-group>. <article-title>Drug screening in Scn1a zebrafish mutant identifies clemizole as a potential Dravet syndrome treatment, nature</article-title>. <source>Communications</source>. (<year>2013</year>) <volume>4</volume>:<fpage>2410</fpage>. doi: <pub-id pub-id-type="doi">10.1038/ncomms3410</pub-id></citation></ref>
<ref id="ref166"><label>166.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Griffin</surname> <given-names>A</given-names></name> <name><surname>Anvar</surname> <given-names>M</given-names></name> <name><surname>Hamling</surname> <given-names>K</given-names></name> <name><surname>Baraban</surname> <given-names>SC</given-names></name></person-group>. <article-title>Phenotype-based screening of synthetic cannabinoids in a Dravet syndrome zebrafish model</article-title>. <source>Front Pharmacol</source>. (<year>2020</year>) <volume>11</volume>:<fpage>464</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fphar.2020.00464</pub-id>, PMID: <pub-id pub-id-type="pmid">32390835</pub-id></citation></ref>
<ref id="ref167"><label>167.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Griffin</surname> <given-names>A</given-names></name> <name><surname>Hamling</surname> <given-names>KR</given-names></name> <name><surname>Knupp</surname> <given-names>K</given-names></name> <name><surname>Hong</surname> <given-names>S</given-names></name> <name><surname>Lee</surname> <given-names>LP</given-names></name> <name><surname>Baraban</surname> <given-names>SC</given-names></name></person-group>. <article-title>Clemizole and modulators of serotonin signalling suppress seizures in Dravet syndrome</article-title>. <source>Brain</source>. (<year>2017</year>) <volume>140</volume>:<fpage>669</fpage>&#x2013;<lpage>83</lpage>. doi: <pub-id pub-id-type="doi">10.1093/brain/aww342</pub-id>, PMID: <pub-id pub-id-type="pmid">28073790</pub-id></citation></ref>
<ref id="ref168"><label>168.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Griffin</surname> <given-names>A</given-names></name> <name><surname>Carpenter</surname> <given-names>C</given-names></name> <name><surname>Liu</surname> <given-names>J</given-names></name> <name><surname>Paterno</surname> <given-names>R</given-names></name> <name><surname>Grone</surname> <given-names>B</given-names></name> <name><surname>Hamling</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>Phenotypic analysis of catastrophic childhood epilepsy genes</article-title>. <source>Commun Biol</source>. (<year>2021</year>) <volume>4</volume>:<fpage>680</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s42003-021-02221-y</pub-id>, PMID: <pub-id pub-id-type="pmid">34083748</pub-id></citation></ref>
<ref id="ref169"><label>169.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Burger</surname> <given-names>A</given-names></name> <name><surname>Lindsay</surname> <given-names>H</given-names></name> <name><surname>Felker</surname> <given-names>A</given-names></name> <name><surname>Hess</surname> <given-names>C</given-names></name> <name><surname>Anders</surname> <given-names>C</given-names></name> <name><surname>Chiavacci</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Maximizing mutagenesis with solubilized CRISPR-Cas9 ribonucleoprotein complexes</article-title>. <source>Development</source>. (<year>2016</year>) <volume>143</volume>:<fpage>2025</fpage>&#x2013;<lpage>37</lpage>. doi: <pub-id pub-id-type="doi">10.1242/dev.134809</pub-id>, PMID: <pub-id pub-id-type="pmid">27130213</pub-id></citation></ref>
<ref id="ref170"><label>170.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shah</surname> <given-names>AN</given-names></name> <name><surname>Moens</surname> <given-names>CB</given-names></name> <name><surname>Miller</surname> <given-names>AC</given-names></name></person-group>. <article-title>Targeted candidate gene screens using CRISPR/Cas9 technology</article-title>. <source>Methods Cell Biol</source>. (<year>2016</year>) <volume>135</volume>:<fpage>89</fpage>&#x2013;<lpage>106</lpage>. doi: <pub-id pub-id-type="doi">10.1016/bs.mcb.2016.01.008</pub-id></citation></ref>
<ref id="ref171"><label>171.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kroll</surname> <given-names>F</given-names></name> <name><surname>Powell</surname> <given-names>GT</given-names></name> <name><surname>Ghosh</surname> <given-names>M</given-names></name> <name><surname>Gestri</surname> <given-names>G</given-names></name> <name><surname>Antinucci</surname> <given-names>P</given-names></name> <name><surname>Hearn</surname> <given-names>TJ</given-names></name> <etal/></person-group>. <article-title>A simple and effective F0 knockout method for rapid screening of behaviour and other complex phenotypes</article-title>. <source>eLife</source>. (<year>2021</year>) <volume>10</volume>:<fpage>e59683</fpage>. doi: <pub-id pub-id-type="doi">10.7554/eLife.59683</pub-id>, PMID: <pub-id pub-id-type="pmid">33416493</pub-id></citation></ref>
<ref id="ref172"><label>172.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bak</surname> <given-names>RO</given-names></name> <name><surname>Gomez-Ospina</surname> <given-names>N</given-names></name> <name><surname>Porteus</surname> <given-names>MH</given-names></name></person-group>. <article-title>Gene editing on center stage</article-title>. <source>Trends Genet</source>. (<year>2018</year>) <volume>34</volume>:<fpage>600</fpage>&#x2013;<lpage>11</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.tig.2018.05.004</pub-id></citation></ref>
<ref id="ref173"><label>173.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Porto</surname> <given-names>EM</given-names></name> <name><surname>Komor</surname> <given-names>AC</given-names></name> <name><surname>Slaymaker</surname> <given-names>IM</given-names></name> <name><surname>Yeo</surname> <given-names>GW</given-names></name></person-group>. <article-title>Base editing: advances and therapeutic opportunities</article-title>. <source>Nat Rev Drug Discov</source>. (<year>2020</year>) <volume>19</volume>:<fpage>839</fpage>&#x2013;<lpage>59</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41573-020-0084-6</pub-id>, PMID: <pub-id pub-id-type="pmid">33077937</pub-id></citation></ref>
<ref id="ref174"><label>174.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rosello</surname> <given-names>M</given-names></name> <name><surname>Serafini</surname> <given-names>M</given-names></name> <name><surname>Mignani</surname> <given-names>L</given-names></name> <name><surname>Finazzi</surname> <given-names>D</given-names></name> <name><surname>Giovannangeli</surname> <given-names>C</given-names></name> <name><surname>Mione</surname> <given-names>MC</given-names></name> <etal/></person-group>. <article-title>Disease modeling by efficient genome editing using a near PAM-less base editor <italic>in vivo</italic></article-title>. <source>Nat Commun</source>. (<year>2022</year>) <volume>13</volume>:<fpage>3435</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-022-31172-z</pub-id>, PMID: <pub-id pub-id-type="pmid">35701478</pub-id></citation></ref>
<ref id="ref175"><label>175.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Anzalone</surname> <given-names>AV</given-names></name> <name><surname>Randolph</surname> <given-names>PB</given-names></name> <name><surname>Davis</surname> <given-names>JR</given-names></name> <name><surname>Sousa</surname> <given-names>AA</given-names></name> <name><surname>Koblan</surname> <given-names>LW</given-names></name> <name><surname>Levy</surname> <given-names>JM</given-names></name> <etal/></person-group>. <article-title>Search-and-replace genome editing without double-strand breaks or donor DNA</article-title>. <source>Nature</source>. (<year>2019</year>) <volume>576</volume>:<fpage>149</fpage>&#x2013;<lpage>57</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41586-019-1711-4</pub-id>, PMID: <pub-id pub-id-type="pmid">31634902</pub-id></citation></ref>
<ref id="ref176"><label>176.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Petri</surname> <given-names>K</given-names></name> <name><surname>Zhang</surname> <given-names>W</given-names></name> <name><surname>Ma</surname> <given-names>J</given-names></name> <name><surname>Schmidts</surname> <given-names>A</given-names></name> <name><surname>Lee</surname> <given-names>H</given-names></name> <name><surname>Horng</surname> <given-names>JE</given-names></name> <etal/></person-group>. <article-title>CRISPR prime editing with ribonucleoprotein complexes in zebrafish and primary human cells</article-title>. <source>Nat Biotechnol</source>. (<year>2022</year>) <volume>40</volume>:<fpage>189</fpage>&#x2013;<lpage>93</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41587-021-00901-y</pub-id>, PMID: <pub-id pub-id-type="pmid">33927418</pub-id></citation></ref>
<ref id="ref177"><label>177.</label> <citation citation-type="other"><person-group person-group-type="author"><collab id="coll5">European Medicines Agency (EMA)</collab></person-group> (<year>2011</year>) <source>Statement of the EMA position on the application of the 3Rs (replacement, reduction and refinement) in the regulatory testing of human and veterinary medicinal products</source>. <comment>Available at: </comment><ext-link xlink:href="https://www.ema.europa.eu/en/documents/other/statement-european-medicines-agency-position-application-3rs-replacement-reduction-refinement_en.pdf" ext-link-type="uri">https://www.ema.europa.eu/en/documents/other/statement-european-medicines-agency-position-application-3rs-replacement-reduction-refinement_en.pdf</ext-link>.</citation></ref>
<ref id="ref178"><label>178.</label> <citation citation-type="other"><person-group person-group-type="author"><collab id="coll6">Food and Drug Administration (FDA)</collab></person-group> (<year>2023</year>) <source>National Center for toxicological research, FDA</source>. <comment>Available at: </comment><ext-link xlink:href="https://www.fda.gov/about-fda/office-chief-scientist/national-center-toxicological-research" ext-link-type="uri">https://www.fda.gov/about-fda/office-chief-scientist/national-center-toxicological-research</ext-link>.</citation></ref>
<ref id="ref179"><label>179.</label> <citation citation-type="other"><person-group person-group-type="author"><collab id="coll7">Congress Gov</collab></person-group> (<year>2022</year>) <source>FDA modernization 2.0 act</source>. <comment>Available at: </comment><ext-link xlink:href="https://www.congress.gov/bill/117th-congress/senate-bill/5002/text" ext-link-type="uri">https://www.congress.gov/bill/117th-congress/senate-bill/5002/text</ext-link>.</citation></ref>
<ref id="ref180"><label>180.</label> <citation citation-type="other"><person-group person-group-type="author"><collab id="coll8">National Toxicology Program (NTP)</collab></person-group> (<year>2023</year>). <source>Alternative methods accepted by US agencies</source>. <comment>Available at: </comment><ext-link xlink:href="https://ntp.niehs.nih.gov/whatwestudy/niceatm/accept-methods/index.html" ext-link-type="uri">https://ntp.niehs.nih.gov/whatwestudy/niceatm/accept-methods/index.html</ext-link>.</citation></ref>
<ref id="ref181"><label>181.</label> <citation citation-type="other"><person-group person-group-type="author"><collab id="coll9">Integrated Approaches to Testing and Assessment (IATA) - OECD</collab></person-group> (<year>n.d.</year>). <comment>Available at: </comment><ext-link xlink:href="https://www.oecd.org/chemicalsafety/risk-assessment/iata/" ext-link-type="uri">https://www.oecd.org/chemicalsafety/risk-assessment/iata/</ext-link> (Accessed July 28, 2023).</citation></ref>
<ref id="ref182"><label>182.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chang</surname> <given-names>X</given-names></name> <name><surname>Tan</surname> <given-names>YM</given-names></name> <name><surname>Allen</surname> <given-names>DG</given-names></name> <name><surname>Bell</surname> <given-names>S</given-names></name> <name><surname>Brown</surname> <given-names>PC</given-names></name> <name><surname>Browning</surname> <given-names>L</given-names></name> <etal/></person-group>. <article-title>IVIVE: facilitating the use of <italic>in vitro</italic> toxicity data in risk assessment and decision making</article-title>. <source>Toxics</source>. (<year>2022</year>) <volume>10</volume>:<fpage>232</fpage>. doi: <pub-id pub-id-type="doi">10.3390/toxics10050232</pub-id>, PMID: <pub-id pub-id-type="pmid">35622645</pub-id></citation></ref>
<ref id="ref183"><label>183.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Paini</surname> <given-names>A</given-names></name> <name><surname>Tan</surname> <given-names>YM</given-names></name> <name><surname>Sachana</surname> <given-names>M</given-names></name> <name><surname>Worth</surname> <given-names>A</given-names></name></person-group>. <article-title>Gaining acceptance in next generation PBK modelling approaches for regulatory assessments - an OECD international effort</article-title>. <source>Comput Toxicol</source>. (<year>2021</year>) <volume>18</volume>:<fpage>100163</fpage>:<fpage>18</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.comtox.2021.100163</pub-id>, PMID: <pub-id pub-id-type="pmid">34027244</pub-id></citation></ref>
<ref id="ref184"><label>184.</label> <citation citation-type="journal"><person-group person-group-type="author"><name><surname>Meijboom</surname> <given-names>KE</given-names></name> <name><surname>Abdallah</surname> <given-names>A</given-names></name> <name><surname>Fordham</surname> <given-names>NP</given-names></name> <name><surname>Nagase</surname> <given-names>H</given-names></name> <name><surname>Rodriguez</surname> <given-names>T</given-names></name> <name><surname>Kraus</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>CRISPR/Cas9-mediated excision of ALS/FTD-causing hexanucleotide repeat expansion in C9ORF72 rescues major disease mechanisms <italic>in vivo</italic> and <italic>in vitro</italic></article-title>. <source>Nat Commun</source>. (<year>2022</year>) <volume>13</volume>:<fpage>6286</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-022-33332-7</pub-id>, PMID: <pub-id pub-id-type="pmid">36271076</pub-id></citation></ref>
</ref-list>
</back>
</article>