<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.3 20210610//EN" "JATS-journalpublishing1-3-mathml3.dtd">
<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:ali="http://www.niso.org/schemas/ali/1.0/" article-type="review-article" dtd-version="1.3" xml:lang="EN">
<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Synaptic Neurosci.</journal-id>
<journal-title-group>
<journal-title>Frontiers in Synaptic Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Synaptic Neurosci.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1663-3563</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnsyn.2026.1741452</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Review</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Evolutionary neuroeconomic adaptations of fast-spiking neurons in the human neocortex</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes"><name><surname>Szegedi</surname> <given-names>Viktor</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref><xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/2403001"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="supervision" vocab-term-identifier="https://credit.niso.org/contributor-roles/supervision/">Supervision</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="visualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/visualization/">Visualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; original draft" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-original-draft/">Writing &#x2013; original draft</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author"><name><surname>Douida</surname> <given-names>Abdennour</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/3342622"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author"><name><surname>Hut&#x00F3;czki</surname> <given-names>G&#x00E1;bor</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author"><name><surname>Nov&#x00E1;k</surname> <given-names>L&#x00E1;szl&#x00F3;</given-names></name><xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/313062"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="resources" vocab-term-identifier="https://credit.niso.org/contributor-roles/resources/">Resources</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
<contrib contrib-type="author"><name><surname>Lamsa</surname> <given-names>Karri</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<uri xlink:href="https://loop.frontiersin.org/people/10575"/>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="conceptualization" vocab-term-identifier="https://credit.niso.org/contributor-roles/conceptualization/">Conceptualization</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Funding acquisition" vocab-term-identifier="https://credit.niso.org/contributor-roles/funding-acquisition/">Funding acquisition</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Project administration" vocab-term-identifier="https://credit.niso.org/contributor-roles/project-administration/">Project administration</role>
<role vocab="credit" vocab-identifier="https://credit.niso.org/" vocab-term="Writing &#x2013; review &#x0026; editing" vocab-term-identifier="https://credit.niso.org/contributor-roles/writing-review-editing/">Writing &#x2013; review &#x0026; editing</role>
</contrib>
</contrib-group>
<aff id="aff1"><label>1</label><institution>Department of Physiology, Anatomy and Neuroscience, University of Szeged</institution>, <city>Szeged</city>, <country country="hu">Hungary</country></aff>
<aff id="aff2"><label>2</label><institution>Hungarian Centre of Excellence for Molecular Medicine (HCEMM), Szeged</institution>, <city>Szeged</city>, <country country="hu">Hungary</country></aff>
<aff id="aff3"><label>3</label><institution>Department of Neurosurgery, University of Debrecen Clinical Centre</institution>, <city>Debrecen</city>, <country country="hu">Hungary</country></aff>
<author-notes>
<corresp id="c001"><label>&#x002A;</label>Correspondence: Viktor Szegedi, <email xlink:href="mailto:viktor.szegedi@hcemm.eu">viktor.szegedi@hcemm.eu</email></corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-01-16">
<day>16</day>
<month>01</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>18</volume>
<elocation-id>1741452</elocation-id>
<history>
<date date-type="received">
<day>07</day>
<month>11</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>02</day>
<month>01</month>
<year>2026</year>
</date>
<date date-type="accepted">
<day>04</day>
<month>01</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2026 Szegedi, Douida, Hut&#x00F3;czki, Nov&#x00E1;k and Lamsa.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Szegedi, Douida, Hut&#x00F3;czki, Nov&#x00E1;k and Lamsa</copyright-holder>
<license>
<ali:license_ref start_date="2026-01-16">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<p><italic>Homo sapiens</italic> has evolved a large and complex neocortex that underlies advanced cognitive capabilities. Neural computation, however, is inherently energy-intensive, and evolutionary pressures have shaped mechanisms that optimize both computational performance and energy efficiency in the human brain. Fast-spiking interneurons, particularly basket cells, are among the most active neuron types in the neocortex, where they play a key role in coordinating time and space in the activity of neuronal networks, but their high activity levels require high metabolic resources. Because the human neocortex is significantly larger than that of rodents&#x2014;and contains a higher proportion of inhibitory interneurons relative to pyramidal cells&#x2014;this expansion may have created evolutionary pressure to reduce the energetic cost of fast-spiking neurons. Compared with rodents, human fast-spiking neurons exhibit adaptations that appear to lower energy expenditure while preserving rapid and precise inhibition. One such adaptation is increased input resistance, which allows both excitation and inhibition to occur with reduced transmembrane ion currents, thereby decreasing the energy required to maintain ionic gradients across the plasma membrane. Since higher input resistance also slows down membrane potential changes, these cells show secondary adaptations that maintain rapid electrical signaling. Additional modifications&#x2014;such as optimized ion channel composition in soma and axon initial segment, enhanced axon myelination, simplified structure of dendritic tree, and multivesicular synapses&#x2014;further improve electrical signaling and are likely to reduce metabolic demand, collectively reducing ATP consumption in the neuronal network. By integrating cellular and synaptic perspectives, this review highlights how fast-spiking neurons in the human neocortex have evolved differently from those in rodents to balance energy efficiency while maintaining computational power, providing insight into the metabolic constraints of the human brain.</p>
</abstract>
<kwd-group>
<kwd>ATP - adenosine triphosphate</kwd>
<kwd>basket cell</kwd>
<kwd>fast spiking cell</kwd>
<kwd>
<italic>Homo sapiens</italic>
</kwd>
<kwd>neocortex</kwd>
<kwd>neuroeconomic</kwd>
<kwd>parvalbumin (PV)</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. KL declares support for the research of this work from the Ministry of Culture and Innovation of Hungary from the National Research (Project no. TKP-2021-EGA-05) provided by, Development and Innovation Fund financed under the TKP2021-EGA funding scheme, the Ministry of Culture and Innovation of Hungary from the National Research, Development and Innovation Fund, financed under the 2022-2.1.1-NL funding scheme (Project no. 2022-2.1.1-NL-2022-00005), EU&#x2019;s Horizon 2020 research and innovation program under grant (No. 739593). Nemzeti Kutat&#x00E1;si, Fejleszt&#x00E9;si &#x00E9;s Innovaci&#x00F3;s Alap, Magyar Tudom&#x00E1;nyos Akad&#x00E9;mia - the National Brain Research Program Hungary OTKA K 134279 and ADVANCED 150382</funding-statement>
</funding-group>
<counts>
<fig-count count="1"/>
<table-count count="9"/>
<equation-count count="0"/>
<ref-count count="90"/>
<page-count count="11"/>
<word-count count="9117"/>
</counts>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>The human brain, comprising approximately 90 billion neurons, possesses the most elaborated and complex cerebral cortex&#x2014;the region primarily associated with cognition, reasoning, and consciousness&#x2014;among all mammals (<xref ref-type="bibr" rid="ref68">Pakkenberg and Gundersen, 1997</xref>). Despite its remarkable volumetric expansion relative to smaller mammals, human brain neurons adhere to the same fundamental cellular signaling and metabolic principles observed across species (<xref ref-type="bibr" rid="ref4">Azevedo et al., 2009</xref>; <xref ref-type="bibr" rid="ref30">Herculano-Houzel, 2009</xref>). Notably, humans have about 16 billion cortical neurons, the highest number recorded among mammals, a feature thought to underlie our exceptional cognitive and behavioral capacities. In contrast, even the largest-brained species, such as cetaceans and elephants, contain fewer cortical neurons despite their greater total brain mass (<xref ref-type="bibr" rid="ref4">Azevedo et al., 2009</xref>; <xref ref-type="bibr" rid="ref32">Herculano-Houzel et al., 2014a</xref>; <xref ref-type="bibr" rid="ref33">Herculano-Houzel et al., 2014b</xref>). The remarkable increase in the number of neocortical neurons and the associated expansion of the neocortex that accompany it pose metabolic and energetic challenges for the human brain (<xref ref-type="bibr" rid="ref2">Attwell and Laughlin, 2001</xref>; <xref ref-type="bibr" rid="ref31">Herculano-Houzel, 2011</xref>). As brain metabolism scales with size and neuron number, energetic and metabolic limitations can critically influence brain evolution, particularly in large, neuron-rich cortices like the human neocortex (<xref ref-type="bibr" rid="ref44">Karbowski, 2007</xref>).</p>
<p>Neural systems have evolved under persistent pressure to balance computational capacity with limited metabolic and spatial resources. Neurons are among the most energy-demanding cell types: although the brain constitutes only about 2% of body mass, it consumes nearly 20% of the body&#x2019;s oxygen (<xref ref-type="bibr" rid="ref2">Attwell and Laughlin, 2001</xref>; <xref ref-type="bibr" rid="ref30">Herculano-Houzel, 2009</xref>). Across mammalian species, total brain energy consumption scales with neuron number (<xref ref-type="bibr" rid="ref52">Laughlin et al., 1998</xref>; <xref ref-type="bibr" rid="ref34">Herculano-Houzel et al., 2011</xref>; <xref ref-type="bibr" rid="ref38">Hyder et al., 2011</xref>). In addition, larger neurons should, in theory, impose greater metabolic costs for maintaining membrane polarization&#x2014;and because energy metabolism is tightly coupled to synaptic activity (<xref ref-type="bibr" rid="ref55">Magistretti et al., 1999</xref>)&#x2014;the relatively fixed energy budget per neuron suggests that large-brained apes, particularly humans, have evolved &#x2018;primate-specific&#x2019; strategies to optimize their neuroeconomic efficiency.</p>
<p>Cortical organization is dominated by excitatory neurons, typically maintaining an excitatory-to-inhibitory cell ratio of around 4:1 (<xref ref-type="bibr" rid="ref15">Douglas and Martin, 2007</xref>; <xref ref-type="bibr" rid="ref83">Tremblay et al., 2016</xref>; <xref ref-type="bibr" rid="ref54">Lim et al., 2018</xref>), although this ratio varies across regions and species. In the human neocortex, the relative abundance of inhibitory interneurons is higher than in rodents, and this is highest in higher-order associative areas such as the human prefrontal cortex, possibly reflecting enhanced demands for cognitive processing (<xref ref-type="bibr" rid="ref74">Soltesz, 2006</xref>; <xref ref-type="bibr" rid="ref49">Kooijmans et al., 2020</xref>; <xref ref-type="bibr" rid="ref25">Hanson et al., 2025</xref>).</p>
<p>Among all cortical neuron types, parvalbumin-expressing fast-spiking (PVFS) interneurons are especially energy-intensive (<xref ref-type="bibr" rid="ref43">Kann et al., 2014</xref>). Their ability to sustain high-frequency firing depends on rapid ion fluxes across the membrane and continuous ATP-dependent Na<sup>+</sup>/K<sup>+</sup> pump activity. Basket cells&#x2014;a major subclass of PVFS interneurons&#x2014;is an electrically highly active neuron type important for structuring coordinated cortical network activities (<xref ref-type="bibr" rid="ref85">Wang and Buzsaki, 1996</xref>; <xref ref-type="bibr" rid="ref82">Traub et al., 2001</xref>; <xref ref-type="bibr" rid="ref29">Hasenstaub et al., 2010</xref>; <xref ref-type="bibr" rid="ref58">Melzer et al., 2012</xref>), but this precision comes at a high metabolic cost. In the expanded human neocortex, where inhibitory neuron number and density are both increased, these energetic constraints have likely exerted evolutionary pressure to preserve speed and reliability of electrical signaling while minimizing ATP consumption.</p>
<p>This review explores the cellular and synaptic adaptations that help human PVFS interneurons to sustain computational performance under tight energetic constraints. Cortical microcircuit operation depends on coordinated interactions among multiple neuronal and glial cell types, all of which have likely undergone evolutionary refinement. Here, however, we focus specifically on fast-spiking interneurons, particularly those in supragranular layer 2/3, which underwent pronounced expansion during human evolution (<xref ref-type="bibr" rid="ref5">Balaram and Kaas, 2014</xref>).</p>
</sec>
<sec id="sec2">
<label>2</label>
<title>Microstructural adaptations</title>
<p>A major challenge in scaling cortical networks of large-brained species is that larger neurons are intrinsically slower due to increased membrane capacitance and longer electrotonic path lengths (<xref ref-type="bibr" rid="ref23">Gentet et al., 2000</xref>). Greater neurite length increases total membrane capacitance, thereby prolonging the time constant of membrane charging. It also extends the electrotonic distance over which signals must travel, leading to greater voltage attenuation and slower spread of voltage changes along neuronal processes (<xref ref-type="bibr" rid="ref14">Das et al., 2025</xref>; <xref ref-type="bibr" rid="ref67">Olah et al., 2025</xref>). These scaling-related factors, in theory, delay synaptic integration and action potential initiation. Yet, PVFS neurons show an evolutionarily conserved electrical phenotype with rapid and temporally precise action potential generation to synaptic input (<xref ref-type="bibr" rid="ref36">Hu et al., 2014</xref>). This raises the question of how human PVFS neurons, which are larger and project over longer distances than those in smaller mammals, maintain the electrical rapidity within an expanded and energetically constrained cortical architecture (<xref ref-type="bibr" rid="ref8">Benavides-Piccione et al., 2025</xref>; <xref ref-type="bibr" rid="ref42">Kanari et al., 2025</xref>). To sustain rapid signaling despite these physical constraints, human interneurons appear to have evolved mechanisms&#x2014;including specialized somatic, synaptic, and axonal properties&#x2014;that maintain electrical signaling rapidity and temporal precision without substantially increasing ATP demand (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Cellular and metabolic adaptations of human parvalbumin fast-spiking (PVFS) interneurons supporting neuroeconomic efficiency. The figure illustrates some of the evolutionary specializations of human PVFS interneurons compared with their rodent counterparts. Human PVFS cells exhibit a denser perineuronal net (PNN), simplified dendritic architecture with fewer branch points, likely to have mitochondria with increased number and density with structural and metabolic adaptations, an altered molecular composition of the axon initial segment (AIS), and more extensive axonal myelination. Functionally, they show a more depolarized resting membrane potential (Vrest), higher input resistance (Ri), larger excitatory postsynaptic potentials (EPSPs), and a lower voltage threshold for action potential initiation. Together, these features enable temporally precise and energy-efficient signaling, allowing human PVFS interneurons to sustain high-frequency inhibition within the metabolically demanding human cortex.</p>
</caption>
<graphic xlink:href="fnsyn-18-1741452-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Illustration comparing human and mouse basket cells. The human basket cell features denser perineuronal nets, simpler dendrites, mitochondrial specializations, molecular composition of the axon initial segment, and extensive myelination. Insets show electrophysiological differences: human cells have larger excitatory postsynaptic potentials, more depolarized resting potential, higher internal resistance, and reduced firing threshold compared to rodents.</alt-text>
</graphic>
</fig>
<sec id="sec3">
<label>2.1</label>
<title>Axonal myelination</title>
<p>Axonal myelination is a conserved feature of PVFS interneurons across mammals. <xref ref-type="bibr" rid="ref47">Kole et al. (2022)</xref> showed that basket cells possess myelinated axons with mitochondria clustered within myelinated segments in rodent neocortex, supporting the energetic demands of rapid signaling. Myelination reduces effective axonal membrane capacitance, approximately 0.05&#x202F;&#x03BC;F/cm<sup>2</sup> for a 10-fold myelin wrap, thereby increasing conduction velocity and decreasing the energetic cost of action potential propagation (<xref ref-type="bibr" rid="ref10">Castelfranco and Hartline, 2015</xref>).</p>
<p>PVFS interneuron axons are more frequently and more extensively myelinated in humans (<xref ref-type="bibr" rid="ref60">Micheva et al., 2018</xref>; <xref ref-type="bibr" rid="ref75">Stedehouder et al., 2019</xref>; <xref ref-type="bibr" rid="ref7">Benamer et al., 2020</xref>). In the mouse neocortex, roughly 25&#x2013;40% of PV interneurons have detectable myelination on parts of their axons. In the human neocortex, this proportion rises to 60&#x2013;80%, depending on the cortical area and age. Both human and rodent PV interneurons display proximal axonal myelination, typically beginning near the soma, distal to the AIS. Human PVFSs exhibit greater overall myelination, with longer total myelinated lengths and more internodes (<xref ref-type="bibr" rid="ref76">Stedehouder et al., 2017</xref>).</p>
<p>In addition, the myelin sheath tends to be thicker in humans relative to axon diameter. The g-ratio (axon diameter/fiber diameter) is smaller in humans (~0.6&#x2013;0.7) than in rodents (~0.75&#x2013;0.8) for PV interneurons, indicating thicker relative myelin. The g-ratio optimizes speed. Empirically, conduction velocity is maximal around g&#x202F;&#x2248;&#x202F;0.6.</p>
<p>The primary benefit of thicker myelin is in active saltatory conduction of the action potential along the myelinated axon from one node to the next. A thicker myelin sheet reduces cell capacitance per surface area in the axon. In addition, a thicker myelin sheet increases transmembrane resistance, since it acts as a high-resistance electrical insulator by decreasing current leakage across the membrane. Each additional layer of myelin roughly doubles the effective membrane thickness, thereby reducing membrane capacitance and increasing membrane resistance exponentially. These changes increase the membrane length constant that determines how far along an axon a passive voltage change can spread before it decays significantly. Voltage changes spread farther along the axon before decaying, and there is less voltage attenuation between nodes of Ranvier, where action potentials are generated (<xref ref-type="table" rid="tab1">Table 1</xref>).</p>
<table-wrap position="float" id="tab1">
<label>Table 1</label>
<caption>
<p>Summary of differences in axonal myelinization in PVFS interneurons in the human and rodent neocortex.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Feature</th>
<th align="left" valign="top">Rodent PV interneurons</th>
<th align="left" valign="top">Human PV interneurons</th>
<th align="left" valign="top">Adaptation</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Proportion myelinated</td>
<td align="left" valign="middle">~25&#x2013;40%</td>
<td align="left" valign="middle">~60&#x2013;80%</td>
<td align="left" valign="middle">Greater myelination in the human cortex</td>
</tr>
<tr>
<td align="left" valign="middle">Myelin onset</td>
<td align="left" valign="middle">Begins near axon initial segment</td>
<td align="left" valign="middle">Similar pattern</td>
<td align="left" valign="middle">Conserved structure</td>
</tr>
<tr>
<td align="left" valign="middle">Myelin thickness (g-ratio)</td>
<td align="left" valign="middle">~0.75&#x2013;0.8</td>
<td align="left" valign="middle">~0.6&#x2013;0.7</td>
<td align="left" valign="middle">Thicker myelin in humans</td>
</tr>
<tr>
<td align="left" valign="middle">Functional role</td>
<td align="left" valign="middle">Adaptation to short-distance AP signaling</td>
<td align="left" valign="middle">Adaptation to AP conduction over larger distances</td>
<td align="left" valign="middle">Conserved rapid AP propagation and metabolic efficiency in human cells</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Increased myelination in human cells likely reflects an adaptation to larger neuronal size and longer conduction paths in the human cortex. By lowering axonal capacitance and leak conductance, myelination enhances propagation speed and reduces energy expenditure, contributing to the metabolic efficiency of fast and precise inhibition in large cortical networks (<xref ref-type="bibr" rid="ref28">Hartline and Colman, 2007</xref>; <xref ref-type="bibr" rid="ref19">Fields, 2015</xref>; <xref ref-type="bibr" rid="ref7">Benamer et al., 2020</xref>). However, if myelin is too thick, the capacitance gain saturates, and metabolic cost increases (<xref ref-type="table" rid="tab2">Table 2</xref>).</p>
<table-wrap position="float" id="tab2">
<label>Table 2</label>
<caption>
<p>The effects of enhanced myelinization on electrical signal propagation and energy efficiency in human PVFS interneuron axons.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Effect of thicker myelin</th>
<th align="left" valign="top">Physical basis</th>
<th align="left" valign="top">Functional result</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">&#x2191; Membrane resistance</td>
<td align="left" valign="middle">Reduced ion leaks</td>
<td align="left" valign="middle">Larger length constant &#x2192; better electrotonic signal spread</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2193; Membrane capacitance</td>
<td align="left" valign="middle">Greater electrical insulation</td>
<td align="left" valign="middle">Faster charging &#x2192; shorter time constant</td>
</tr>
<tr>
<td align="left" valign="middle">Optimized g-ratio (~0.6)</td>
<td align="left" valign="middle">Balance of ion leak and capacitive charging</td>
<td align="left" valign="middle">Maximal conduction velocity at g&#x202F;=&#x202F;~0.6</td>
</tr>
<tr>
<td align="left" valign="middle">&#x2193; Metabolic cost</td>
<td align="left" valign="middle">Fewer regenerations per unit length</td>
<td align="left" valign="middle">Energetically efficient electrical signal transmission in the elongated axons</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Perineuronal nets</title>
<p>Perineuronal nets (PNNs) are specialized extracellular matrix structures that envelop the soma and proximal dendrites of PVFS interneurons in both rodents and humans. These structures mainly contain chondroitin sulfate proteoglycans (CSPGs), hyaluronan, tenascin-R, and link proteins (see <xref ref-type="bibr" rid="ref64">Morphett et al., 2024</xref> for review). Yet, the PNN is more than just an extracellular scaffold: it strongly influences metabolic efficiency, ion homeostasis, and electrical signaling (for a review of PNN role in metabolism see <xref ref-type="bibr" rid="ref89">Zhang et al., 2024</xref>).</p>
<p>PNN can save metabolic energy indirectly by reducing ion leak and buffering extracellular ions. First, the dense extracellular matrix limits extracellular diffusion and movement of K<sup>+</sup> and Na<sup>+</sup> ions near the soma, helping maintain local ionic stability, which reduces the need for constant active pumping (via Na<sup>+</sup>/K<sup>+</sup>-ATPase) - a major ATP consumer - to restore gradients after each spike. By restricting ion and water diffusion near the membrane, PNNs can lower the effective membrane capacitance of fast-spiking neurons, thereby facilitating electrical rapidity by shortening the soma time constant for membrane potential changes. In addition, PNN can reduce energy requirements by restricting cell volume changes (<xref ref-type="bibr" rid="ref81">Tewari et al., 2018</xref>). Second, dense PNN has strengthened the electrostatic stabilization effect where negatively charged glycosaminoglycan chains in the PNN create a fixed negative potential that may help stabilize extracellular charge distribution and buffer cations, indirectly reducing leak currents and ionic perturbations during fast firing. Third, by anchoring perisomatic inhibitory synapses PNN stabilizes synaptic connections (<xref ref-type="bibr" rid="ref9">Bosiacki et al., 2019</xref>; <xref ref-type="bibr" rid="ref17">Fawcett et al., 2019</xref>; <xref ref-type="bibr" rid="ref3">Auer et al., 2025</xref>). Experimental degradation of PNNs in rodents reduces firing rates and electrical gain of PVFS cells, leading to instability and impaired rhythmic activity at the neuronal network level (<xref ref-type="bibr" rid="ref26">Hanssen et al., 2023</xref>) (<xref ref-type="table" rid="tab3">Table 3</xref>).</p>
<table-wrap position="float" id="tab3">
<label>Table 3</label>
<caption>
<p>The effects of thicker and denser PNNs on the electrical properties of the soma and cell metabolic costs in human PVFS interneurons.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Function</th>
<th align="left" valign="top">Mechanism</th>
<th align="left" valign="top">Effect</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Metabolic protection</td>
<td align="left" valign="middle">Restricts ion diffusion at the extracellular site, reduces Na<sup>+</sup>/K<sup>+</sup> pump workload, and protects from oxidative stress</td>
<td align="left" valign="middle">&#x2193; ATP demand during electrical activity</td>
</tr>
<tr>
<td align="left" valign="middle">Electrical stability</td>
<td align="left" valign="middle">Buffers extracellular ions, maintains local electrical field integrity</td>
<td align="left" valign="middle">Stabilizes AP properties during repetitive activity and reduces excitability fluctuation</td>
</tr>
<tr>
<td align="left" valign="middle">Signal conduction</td>
<td align="left" valign="middle">Minimal direct effect</td>
<td align="left" valign="middle">Slightly improves timing precision, not speed</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>Although the general morphology of PNNs is conserved across species, molecular composition and density appear to differ. Human and other primate PNNs show higher molecular density and more dense organization, whereas rodent PNNs are simpler and less dense (<xref ref-type="bibr" rid="ref57">Mcgillis, 2018</xref>; <xref ref-type="bibr" rid="ref6">Belliveau et al., 2024</xref>; <xref ref-type="bibr" rid="ref13">da Silva et al., 2024</xref>). These molecular and structural differences may influence the biophysical properties of PNNs, and the more dense and molecularly rich PNN in humans may contribute to enhanced energy-saving function by enhanced ion buffering (<xref ref-type="bibr" rid="ref11">Chaunsali et al., 2021</xref>) and protection against oxidate stress in human PVFS neurons (<xref ref-type="bibr" rid="ref63">Morawski et al., 2004</xref>).</p>
<p>PNN also affects electrical signaling speed indirectly. Because the PNN is extracellular, it does not directly change the membrane&#x2019;s capacitance or resistance. However, it can enhance the electrical signaling by stabilizing the extracellular ionic and electric field environment, which in turn affects how currents flow during synaptic and action potential activity. By reducing ion diffusion at the extracellular surface of the membrane, PNN helps maintain low extracellular K<sup>+</sup> and high Na&#x202F;+&#x202F;during rapid firing. This supports consistent spike amplitude and timing, effectively increasing the temporal precision of firing.</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>K<sup>+</sup> leak channels in the membrane</title>
<p>Human PVFS neurons exhibit higher input resistance than their rodent counterparts (<xref ref-type="bibr" rid="ref80">Szegedi et al., 2016</xref>; <xref ref-type="bibr" rid="ref77">Szegedi et al., 2023</xref>; <xref ref-type="bibr" rid="ref87">Wilbers et al., 2023</xref>; <xref ref-type="bibr" rid="ref20">Furdan et al., 2025</xref>), likely due to species-specific differences in leak channel density and transmembrane ionic conductances. Leak channels mediate passive ion fluxes that mainly determine the resting membrane potential (<xref ref-type="bibr" rid="ref21">Gadsby, 2009</xref>) and generate an energetic cost, as ionic gradients must be continuously restored by Na<sup>+</sup>/K<sup>+</sup>-ATPases. In neurons with a larger membrane surface area, high leak conductance increases ATP demand. Thus, the higher input resistance of human PV interneurons likely reflects a reduction in passive ion leakage, lowering baseline ATP demand. The increased input resistance allows the resting membrane potential to be maintained and the generation of membrane potential changes, including synaptic excitation and inhibition and action potentials, with smaller ion currents, thereby reducing the energy cost of maintaining ionic gradients (<xref ref-type="table" rid="tab4">Table 4</xref>).</p>
<table-wrap position="float" id="tab4">
<label>Table 4</label>
<caption>
<p>Effect of increased input resistance on electrical properties and energy efficiency in soma of human PVFS interneurons.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Parameter</th>
<th align="left" valign="top">Increased input resistance (&#x2193; leak)</th>
<th align="left" valign="top">Consequence</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Membrane voltage response</td>
<td align="left" valign="middle">Larger <italic>&#x0394;Vm</italic> for given current</td>
<td align="left" valign="middle">More pronounced synaptic effect</td>
</tr>
<tr>
<td align="left" valign="middle">Excitability</td>
<td align="left" valign="middle">Increases</td>
<td align="left" valign="middle">Easier AP threshold crossing</td>
</tr>
<tr>
<td align="left" valign="middle">Resting energy demand</td>
<td align="left" valign="middle">Decreases</td>
<td align="left" valign="middle">Fewer ions to pump back &#x2192; energy saved</td>
</tr>
<tr>
<td align="left" valign="middle">Temporal filtering</td>
<td align="left" valign="middle">Slower; low-pass filtering stronger, more noise-sensitive</td>
<td align="left" valign="middle">Slower integration, less responsiveness to fast inputs</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>On the other hand, higher resistance also slows the time course of membrane potential kinetics, potentially compromising temporal precision (<xref ref-type="bibr" rid="ref77">Szegedi et al., 2023</xref>). To compensate, human PVFS neurons exhibit additional adaptations. One is the somatic expression of hyperpolarization-activated cyclic nucleotide&#x2013;gated (HCN) channels, which facilitate kinetics of membrane potential changes in soma to shorten the action potential generation delay (<xref ref-type="bibr" rid="ref77">Szegedi et al., 2023</xref>). In contrast, rodent PVFS neurons express HCN channels primarily on their axons (<xref ref-type="bibr" rid="ref72">Roth and Hu, 2020</xref>), showing that while HCN channel expression is evolutionarily conserved, its subcellular localization has shifted in humans. This somatic localization likely enhances the rapidity to transform excitatory synaptic inputs to an AP (<xref ref-type="bibr" rid="ref41">Kalmbach et al., 2018</xref>; <xref ref-type="bibr" rid="ref77">Szegedi et al., 2023</xref>). HCN channels are strongly modulated by intracellular factors such as pH or Ca2+&#x202F;(<xref ref-type="bibr" rid="ref12">Combe and Gasparini, 2021</xref>), which make the electrical properties of the human PVFS cell soma a substrate for plasticity regulations.</p>
<p>In addition to HCN channels, inwardly rectifying potassium (Kir) channels also help regulate PVFS membrane resistance and excitability (<xref ref-type="bibr" rid="ref20">Furdan et al., 2025</xref>). Human PVFSs achieve comparable input resistance regulation with lower Kir conductance than mouse cells, owing to their higher baseline membrane resistance. This reduced Kir activity for equal excitability regulation represents another energy-conserving adaptation, minimizing unnecessary ion flow and ATP requirements through voltage-activated ion channels (<xref ref-type="bibr" rid="ref20">Furdan et al., 2025</xref>).</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>Dendritic tree</title>
<p>The electrotonic transduction of membrane potential changes is less efficient in human neurons with longer dendritic elongations. Human PVFSs in the supragranular layer, which is a particularly proliferated neocortical layer in humans compared to other mammals, have structural specializations to compensate for this (<xref ref-type="bibr" rid="ref87">Wilbers et al., 2023</xref>). A recent study shows that human PVFSs have a simplified structure of large dendrites compared to those in rats, with a smaller number of branching points. This structural specialization improves the electrotonic propagation of membrane potential changes over longer dendritic distances, since the simplified dendritic structure with fewer branching points results in less signal attenuation. Long dendrites suffer greater voltage attenuation and temporal dispersion of signals reaching the soma. In addition, from the point of view of the main dendrite, each branch behaves as a current sink where the axial current divides, causing attenuation and slowdown of the forward propagation of voltage along the main dendrite (<xref ref-type="bibr" rid="ref87">Wilbers et al., 2023</xref>). Signals decay faster and arrive with smaller amplitude at the soma. Therefore, PVFS interneurons in the supragranular layer of human cortex may have evolved with a simplified dendritic tree, because less division of current enables less voltage attenuation along the main shaft. The shorter total electrotonic path allows faster and stronger signal transmission from distal to proximal sites. This is particularly advantageous for fast-spiking interneurons that rely on precise temporal signaling. However, the reduced dendritic tree comes at a cost of reduced synaptic integration capacity but fewer total synapses. However, the human neocortex compensates this functional trade-off between the electrical efficiency of PVFS neurons and the network computational capacity by an increased proportional number of interneurons compared to pyramidal cells (see, e.g., <xref ref-type="bibr" rid="ref42">Kanari et al., 2025</xref>).</p>
<p>In addition, fewer branches reduce metabolic cost. There is less maintenance of ion gradients across the total membrane surface area (via Na<sup>+</sup>/K<sup>+</sup> ATPase), less metabolic maintenance of cytoplasmic and membrane-bound processes in distal locations from the soma for structural (cytoskeleton) and transport support, and reduced biosynthetic costs for ion channels and receptors (<xref ref-type="bibr" rid="ref2">Attwell and Laughlin, 2001</xref>; <xref ref-type="bibr" rid="ref44">Karbowski, 2007</xref>) (<xref ref-type="table" rid="tab5">Table 5</xref>).</p>
<table-wrap position="float" id="tab5">
<label>Table 5</label>
<caption>
<p>The effect of dendritic length and branching on electrotonic attenuation, propagation, and metabolic cost.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Structural feature</th>
<th align="left" valign="top">Electrical effect</th>
<th align="left" valign="top">Energetic consequence</th>
<th align="left" valign="top">Functional trade-off</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Longer dendrite</td>
<td align="left" valign="middle">Greater attenuation, slower signal spread</td>
<td align="left" valign="middle">Higher maintenance cost</td>
<td align="left" valign="middle">More input area and integration</td>
</tr>
<tr>
<td align="left" valign="middle">Reduced branching</td>
<td align="left" valign="middle">Stronger, faster voltage propagation along the main shaft</td>
<td align="left" valign="middle">Lower metabolic demand</td>
<td align="left" valign="middle">Less synaptic integration capacity</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Simplifying the architecture of dendrites by reducing the number of branch points improves electrical efficiency and reduces the energetic burden in human PVFS interneurons.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Axon initial segment</title>
<p>Compared with rodents, human parvalbumin-expressing fast-spiking interneurons (PVFSs) exhibit a lower action potential (AP) threshold at the axon initial segment (AIS) in response to somatic excitatory inputs. Together with the higher input resistance of human interneurons, this reduced AP threshold decreases the amount of depolarizing current&#x2014;and therefore transmembrane ion flux&#x2014;required to generate an output spike. Both features are neuroeconomically advantageous, as they minimize energetic cost per signaling event.</p>
<p>The reduced AP threshold in human PVFSs arises from a marked depletion of Kv1-type potassium channels in the AIS (<xref ref-type="bibr" rid="ref9001">Bakos et al., 2025</xref>). Human PVFS neurons lack Kv1.1 channels entirely, show no detectable expression of the corresponding gene <italic>KCNA1</italic>, and express Kv1.2 channels at substantially lower levels in the AIS compared with rodents (<xref ref-type="bibr" rid="ref9001">Bakos et al., 2025</xref>). In the absence of this Kv1-mediated outward current, smaller depolarizations are sufficient to trigger regenerative Na<sup>+</sup> channel activation and initiate an AP.</p>
<p>Consequently, baseline K<sup>+</sup> efflux at rest and near threshold is reduced during spike initiation. The accompanying reduction in both Na<sup>+</sup> and K<sup>+</sup> transmembrane currents lowers the workload of the Na<sup>+</sup>/K<sup>+</sup>-ATPase required to restore ionic gradients after spiking. In addition, the absence of Kv1 channels reduces the biosynthetic and maintenance costs associated with producing and trafficking these ion channels, further contributing to energetic efficiency in human PVFS interneurons.</p>
<p>Beyond energetic considerations, a lowered AP threshold also compensates for the slower membrane potential dynamics associated with the higher input resistance and larger somatic size of human interneurons. At the AIS, the critical transformation from excitatory postsynaptic potential (EPSP) to AP depends on how rapidly the local membrane potential reaches the Na<sup>+</sup> channel activation threshold. In an AIS with low Kv1 channel density, depolarizing current originating in the soma spreads more efficiently into the AIS, while the reduced outward K<sup>+</sup> conductance allows the local membrane potential to rise more steeply.</p>
<p>By diminishing subthreshold K<sup>+</sup> &#x201C;drag,&#x201D; the AIS shortens the latency between EPSP onset and spike initiation. Thus, the lowered AP threshold in human PVFSs compensates for slower membrane charging, ensuring rapid and reliable action potential generation in response to excitatory synaptic input (<xref ref-type="bibr" rid="ref87">Wilbers et al., 2023</xref>; <xref ref-type="bibr" rid="ref9001">Bakos et al., 2025</xref>) (<xref ref-type="table" rid="tab6">Table 6</xref>).</p>
<table-wrap position="float" id="tab6">
<label>Table 6</label>
<caption>
<p>Reduced Kv1 channel density in the axon initial segment both lowers the energy cost of maintaining and generating action potentials and accelerates the input&#x2013;output conversion process.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Outcome of reduced AIS Kv1 channels</th>
<th align="left" valign="top">Mechanism</th>
<th align="left" valign="top">Electrical and metabolic consequences</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Lower AP threshold</td>
<td align="left" valign="middle">Less outward current opposes Na<sup>+</sup> influx</td>
<td align="left" valign="middle">Easier AP initiation</td>
</tr>
<tr>
<td align="left" valign="middle">Higher AIS input resistance</td>
<td align="left" valign="middle">Reduced leak conductance</td>
<td align="left" valign="middle">Stronger voltage response to input current</td>
</tr>
<tr>
<td align="left" valign="middle">Reduced ionic fluxes per AP</td>
<td align="left" valign="middle">Smaller Na<sup>+</sup> and K<sup>+</sup> gradient dissipation</td>
<td align="left" valign="middle">Lower ATP cost per spike</td>
</tr>
<tr>
<td align="left" valign="middle">Lower protein synthesis and transport demand</td>
<td align="left" valign="middle">Protein synthesis and turnover</td>
<td align="left" valign="middle">Reduced biosynthetic costs</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="sec8">
<label>3</label>
<title>Metabolic adaptations</title>
<p>The majority of the cell&#x2019;s energy currency, ATP, is consumed by the process of restoring ionic homeostasis, primarily through Na+/K&#x202F;+&#x202F;pumps (i.e., Na/K exchangers). ATP is produced in the mitochondria, specialized organelles whose collective composition is highly dynamic and sensitive to the intracellular milieu. Human PVFS interneurons exhibit a reduced resting membrane potential, which lowers metabolic costs. Additionally, human neurons have specialized mitochondria.</p>
<sec id="sec9">
<label>3.1</label>
<title>Depolarized resting membrane potential</title>
<p>Human PVFSs have lower (more depolarized) resting membrane potential (Em) than their rodent counterparts (<xref ref-type="bibr" rid="ref77">Szegedi et al., 2023</xref>), which, together with the increased input resistance and the lowered AP threshold in the cells, synergistically works to reduce the amount of excitatory current and transmembrane ion current to generate AP by excitatory synaptic inputs. This is neuroeconomical because neuronal energy consumption primarily stems from restoring electrochemical gradients through ATP-dependent ion pumps following electrical activity (<xref ref-type="bibr" rid="ref27">Harris et al., 2012</xref>; <xref ref-type="bibr" rid="ref66">Muangkram et al., 2023</xref>). The Na<sup>+</sup>/K<sup>+</sup> pump accounts for up to 50% of neuronal ATP use (<xref ref-type="bibr" rid="ref2">Attwell and Laughlin, 2001</xref>; <xref ref-type="bibr" rid="ref59">Meyer et al., 2022</xref>).</p>
<p>Pump activity increases with more negative resting membrane potential, as its generation and maintenance require greater electrical work to expel Na<sup>+</sup> and intake K<sup>+</sup> (<xref ref-type="bibr" rid="ref22">Gadsby et al., 1985</xref>; <xref ref-type="bibr" rid="ref24">Hansen et al., 2002</xref>). A more depolarized resting membrane potential, as reported in human FSPV neurons (<xref ref-type="bibr" rid="ref77">Szegedi et al., 2023</xref>; <xref ref-type="bibr" rid="ref87">Wilbers et al., 2023</xref>), is likely to reduce this energetic burden, thus being neuroeconomical by lowering ATP demand while maintaining high excitability in human PVFSs. The depolarized Em is likely to stem from fewer open K<sup>+</sup> channels, causing reduced passive K<sup>+</sup> efflux, in resting conditions (for a review of two-pore-domain K&#x202F;+&#x202F;channels, or leak channels, see <xref ref-type="bibr" rid="ref53">Lesage and Lazdunski, 2000</xref>). This also means less biosynthetic burden (<xref ref-type="table" rid="tab7">Table 7</xref>).</p>
<table-wrap position="float" id="tab7">
<label>Table 7</label>
<caption>
<p>A more depolarized resting membrane potential (Em) is metabolically and biosynthetically economical because it reduces passive ionic leaks, lowers the workload of the Na<sup>+</sup>/K<sup>+</sup>-ATPase, and allows smaller K<sup>+</sup> channel densities to sustain excitability.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Functional or structural outcome of more depolarized <italic>Em</italic></th>
<th align="left" valign="top">Mechanism</th>
<th align="left" valign="top">Electrical and metabolic consequences</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Less outward ion flux</td>
<td align="left" valign="middle">&#x2193; K<sup>+</sup> leak conductance</td>
<td align="left" valign="middle">&#x2193; ATP use by Na<sup>+</sup>/K<sup>+</sup> pump</td>
</tr>
<tr>
<td align="left" valign="middle">Fewer membrane ion channel proteins</td>
<td align="left" valign="middle">&#x2193; Total leak channel density</td>
<td align="left" valign="middle">&#x2193; Biosynthetic and maintenance costs</td>
</tr>
<tr>
<td align="left" valign="middle">Closer to AP firing threshold</td>
<td align="left" valign="middle"><italic>Em</italic> depolarization</td>
<td align="left" valign="middle">&#x2191; Electrical responsiveness</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="sec10">
<label>3.2</label>
<title>Mitochondrial specialization</title>
<p>Mitochondria provide the ATP required for neuronal signaling via oxidative phosphorylation (<xref ref-type="bibr" rid="ref56">Mattson et al., 2008</xref>). There is some evidence indicating species differences in mitochondrial structure, metabolism, and distribution between human and rodent neurons, which will be discussed in more detail below.</p>
<p>Comparative analyses indicate that mitochondria in the human cerebral cortex differ molecularly and functionally from those in rodents, reflecting species-specific adaptations in bioenergetics (<xref ref-type="bibr" rid="ref86">Westi et al., 2022</xref>). These differences suggest a distinct &#x201C;mitotype&#x201D; in humans that supports the energetic demands of large, high-performance cortical networks (<xref ref-type="bibr" rid="ref69">Pontzer et al., 2016</xref>). Although differences in overall brain metabolism&#x2014;such as substrate usage, coupling efficiency, and mitochondrial proteome&#x2014;have been reported between species, no cell-type-specific studies have yet examined these features in parvalbumin-expressing interneurons. To date, there are no direct comparative data on the number, density, or subcellular distribution of mitochondria in human versus rodent PV interneurons (<xref ref-type="table" rid="tab8">Table 8</xref>).</p>
<table-wrap position="float" id="tab8">
<label>Table 8</label>
<caption>
<p>Comparative evidence for mitochondrial specializations addressing mitochondrial structure, density, and localization in human and rodent PVFS interneurons.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Mechanism</th>
<th align="left" valign="top">Effect</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Mitochondria in PV cell axons</td>
<td align="left" valign="middle">In mouse PV basket cells, myelinated axon internodes contain higher mitochondrial density, larger mitochondria, and increased mitochondrial volume fraction compared with unmyelinated segments (<xref ref-type="bibr" rid="ref47">Kole et al., 2022</xref>). In humans, this has not been studied.</td>
</tr>
<tr>
<td align="left" valign="middle">Human inhibitory neuron axon specializations</td>
<td align="left" valign="middle">Human neocortex contains more myelinated inhibitory axons and these show distinctive structural/molecular features by array-tomography and EM studies (<xref ref-type="bibr" rid="ref76">Stedehouder et al., 2017</xref>; <xref ref-type="bibr" rid="ref60">Micheva et al., 2018</xref>). However, data comparing mitochondrial number, size, cristae density, or subcellular localization in identified human PVFS axons versus rodent PVFS axons are lacking.</td>
</tr>
<tr>
<td align="left" valign="middle">Mitochondria density per neuropil volume across mammals</td>
<td align="left" valign="middle">A multispecies ultrastructural study found conserved mitochondria density per neuropil volume across mammals, implying larger brains contain more mitochondria <italic>per neuron</italic> because neuron density declines with brain size (<xref ref-type="bibr" rid="ref45">Karl et al., 2024</xref>).</td>
</tr>
<tr>
<td align="left" valign="middle">Dendritic and axonal mitochondrial distribution</td>
<td align="left" valign="middle">Rodent studies show mitochondria are enriched in dendrites and presynaptic boutons, and vary by cortical layer (<xref ref-type="bibr" rid="ref73">Santuy et al., 2018</xref>; <xref ref-type="bibr" rid="ref16">Faitg et al., 2021</xref>). However, cell-type-matched comparisons of subcellular mitochondrial distribution in human versus rodent PVFS interneurons are not available.</td>
</tr>
<tr>
<td align="left" valign="middle">Energetics and mitochondrial function</td>
<td align="left" valign="middle">Energy-budget analyses show that maintenance of ionic gradients and synaptic transmission dominate cortical ATP use (<xref ref-type="bibr" rid="ref2">Attwell and Laughlin, 2001</xref>; <xref ref-type="bibr" rid="ref27">Harris et al., 2012</xref>); mitochondria supply most neuronal ATP and are positioned to meet local energetic demand. Yet, mitochondrial coupling efficiency, proton leak, or respiration in human PVFS interneurons vs. rodent PVFS interneurons have not been studied.</td>
</tr>
<tr>
<td align="left" valign="middle">PV interneuron molecular and metabolic specialization</td>
<td align="left" valign="middle">Cell-type proteomic and transcriptomic studies in mouse reveal PV interneurons are enriched for mitochondrial and metabolic proteins, consistent with the high energy demand of fast-spiking cells (<xref ref-type="bibr" rid="ref2">Attwell and Laughlin, 2001</xref>). Yet, there are no published, quantitative mitochondrial ultrastructure or single-cell mitochondrial physiology datasets from identified human parvalbumin PV interneurons.</td>
</tr>
</tbody>
</table>
</table-wrap>
<p>In the human cortex, mitochondria display a high degree of regional and cellular specialization that presumably aligns with local computational and metabolic demands. The distribution of mitotypes follows a phylogenetic gradient, meaning that mitochondrial adaptations co-evolved with the expansion of higher-order association cortices in primate evolution (<xref ref-type="bibr" rid="ref65">Mosharov et al., 2025</xref>). In isolated preparations, human cortical mitochondria exhibit lower oxygen consumption but equal or greater ATP output compared with mouse mitochondria, indicating more efficient oxidative phosphorylation coupling (<xref ref-type="bibr" rid="ref40">Jeffreys and Craig, 1974</xref>). In parallel, transcriptomic and proteomic analyses reveal divergent gene expression and protein synthesis patterns between human and rodent mitochondria (for a review on cardiac cells, see <xref ref-type="bibr" rid="ref1">Alibrandi and Lionetti, 2025</xref>), further emphasizing functional specialization at the molecular level.</p>
<p>Human and mouse neurons differ in mitochondrial development and metabolic activity, thereby affecting neuronal maturation. In humans, cortical neurons exhibit slower mitochondrial growth and lower oxidative metabolism, leading to a longer developmental timeline. In contrast, mouse neurons undergo faster mitochondrial maturation and generate energy more rapidly through oxidative phosphorylation (<xref ref-type="bibr" rid="ref39">Iwata et al., 2023</xref>).</p>
<p>Mitotypes vary not only between species but also across neuronal classes (see <xref ref-type="bibr" rid="ref51">Kuznetsov and Margreiter, 2009</xref> for a review) (<xref ref-type="bibr" rid="ref18">Fecher et al., 2019</xref>) indicating cell&#x2013;type&#x2013;specific energetic specializations. Even within a single neuron, the mitochondrial population is heterogeneous: axonal and dendritic mitochondria display divergent genetic and functional characteristics (<xref ref-type="bibr" rid="ref35">Hirabayashi et al., 2024</xref>), as shown in pyramidal cells. It is therefore reasonable to assume that PVFS interneurons harbor mitochondria adapted to their exceptionally high energetic and temporal demands.</p>
<p>Parvalbumin basket cell myelination accumulates axonal mitochondria in internodes. A recent study in a mouse model shows that in PV-positive basket cell axons, myelinated segments show a higher mitochondrial density than unmyelinated segments within the same axon. Regarding that human PVFS cell axons are more extensively myelinated; they may also be richer in mitochondria. Given the larger size and longer axonal/dendritic distances of human cortical neurons, one might predict that human PV interneurons would have increased mitochondrial content or different localization (e.g., more mitochondria in distal processes) or enhanced coupling efficiency &#x2014; but this remains to be empirically verified.</p>
<p>However, across many mammalian species, the density of mitochondria per unit area of neuropil in the cortex appears conserved, and mitochondria density does not scale with brain size, thus large- vs. small-brained mammals have similar mitochondria densities (<xref ref-type="bibr" rid="ref45">Karl et al., 2024</xref>). This suggests an evolutionary constraint on mitochondrial number and density in the cortical neuropil, and also indicates that brain enlargement in mammals is accompanied by an increase in the number of mitochondria per neuron. To date, there is no direct comparison of mitochondrial number, density, or subcellular localization specifically in human PV interneurons compared to rodent PV interneurons.</p>
</sec>
</sec>
<sec id="sec11">
<label>4</label>
<title>Synaptic adaptations</title>
<p>Human cortical signaling appears optimized for energy efficiency through high-probability neurotransmitter release and sparse coding strategies (<xref ref-type="bibr" rid="ref37">Hunt et al., 2023</xref>). In sparse coding, only a subset of neurons is active at any given moment, reducing overall metabolic load while maintaining high information capacity (<xref ref-type="bibr" rid="ref2">Attwell and Laughlin, 2001</xref>; <xref ref-type="bibr" rid="ref88">Willmore et al., 2011</xref>).</p>
<sec id="sec12">
<label>4.1</label>
<title>Excitatory synaptic input</title>
<p>Excitatory synapses from pyramidal neurons onto PV basket cells are more efficient in humans than in rodents, in terms of generating action potential discharge (<xref ref-type="bibr" rid="ref61">Molnar et al., 2008</xref>; <xref ref-type="bibr" rid="ref48">Komlosi et al., 2012</xref>; <xref ref-type="bibr" rid="ref80">Szegedi et al., 2016</xref>; <xref ref-type="bibr" rid="ref78">Szegedi et al., 2017</xref>). Human connections contain approximately four times more functional release sites&#x2014;around 6.2 per active zone compared with 1.6 in rats (<xref ref-type="bibr" rid="ref62">Molnar et al., 2016</xref>). Electron microscopy further shows that the synapses&#x2019; active zones have approximately four docked vesicles in humans, compared to one in rodents. This enables a single presynaptic spike to release more neurotransmitter and elicit a larger excitatory postsynaptic current, sufficient to recruit local interneurons synchronously (<xref ref-type="bibr" rid="ref61">Molnar et al., 2008</xref>; <xref ref-type="bibr" rid="ref80">Szegedi et al., 2016</xref>).</p>
<p>In rodents, excitatory inputs onto basket cells are more numerous (<xref ref-type="bibr" rid="ref84">Veres et al., 2017</xref>). The higher frequency of miniature EPSPs reported in rats compared with monkeys corresponds to denser excitatory innervation (<xref ref-type="bibr" rid="ref70">Povysheva et al., 2008</xref>). In contrast, primates achieve comparable or greater postsynaptic efficacy with fewer but stronger synapses&#x2014;a distinct energy-efficient strategy.</p>
</sec>
<sec id="sec13">
<label>4.2</label>
<title>Inhibitory synapses of PVFSs</title>
<p>Cellular reconstruction analysis reveals that human basket cells receive more GABAergic synapses on their somata and proximal dendrites than those of mice (<xref ref-type="bibr" rid="ref71">Rebollo et al., 2025</xref>). The high number of inhibitory synapses is likely to reflect the increased number of interneurons and cell density in the human cortex compared to the rodent cortex, as evidenced by the similarity in the number of autaptic GABAergic synapses to human and mouse PV immunopositive basket cells (<xref ref-type="bibr" rid="ref79">Szegedi et al., 2020</xref>). However, in smaller GABAA-receptor activation is needed in human PVFSs for an equal level of inhibition, measured as a relative drop of the cell input resistance by GABAAR-mediated synaptic conductance (<xref ref-type="bibr" rid="ref79">Szegedi et al., 2020</xref>)-because of the higher starting resting input resistance of the human cells (<xref ref-type="bibr" rid="ref77">Szegedi et al., 2023</xref>).</p>
<p>Human PVFSs may also produce faster and stronger inhibitory outputs compared with rodents (<xref ref-type="bibr" rid="ref87">Wilbers et al., 2023</xref>). Individual human basket cells form more inhibitory boutons per postsynaptic pyramidal neuron than those of rodents (<xref ref-type="bibr" rid="ref46">Karube et al., 2004</xref>; <xref ref-type="bibr" rid="ref50">Kubota et al., 2016</xref>). The increased number of boutons per target improves transmission reliability, allowing efficient control of pyramidal neuron firing with fewer presynaptic spikes (<xref ref-type="table" rid="tab9">Table 9</xref>).</p>
<table-wrap position="float" id="tab9">
<label>Table 9</label>
<caption>
<p>Comparative organization of excitatory and inhibitory synapses in human and rodent PVFS cells, with their electrophysiological and metabolic implications.</p>
</caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left" valign="top">Feature</th>
<th align="left" valign="top">Human PVFS cells</th>
<th align="left" valign="top">Rodent PV FS cells</th>
<th align="left" valign="top">Effect on electrical signaling and metabolic cost</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left" valign="middle">Excitatory input efficiency</td>
<td align="left" valign="middle">Strong EPSPs; more likely to trigger spikes.</td>
<td align="left" valign="middle">Weaker EPSPs; less likely to reach threshold.</td>
<td align="left" valign="middle">Faster and more reliable recruitment of PVFSs; fewer presynaptic activations needed &#x2192; lower energy per effective excitation.</td>
</tr>
<tr>
<td align="left" valign="middle">Number of functional release sites per connection</td>
<td align="left" valign="middle">~6.2 per active zone.</td>
<td align="left" valign="middle">~1.6 per active zone.</td>
<td align="left" valign="middle">Greater transmitter release boosts postsynaptic current and temporal precision; reduces stochastic failures, making transmission energetically efficient per spike.</td>
</tr>
<tr>
<td align="left" valign="middle">Docked vesicles per active zone (EM)</td>
<td align="left" valign="middle">~4 docked vesicles.</td>
<td align="left" valign="middle">~1 docked vesicle.</td>
<td align="left" valign="middle">More readily releasable vesicles &#x2192; faster synaptic onset and lower jitter; high efficacy per vesicle release lowers metabolic load.</td>
</tr>
<tr>
<td align="left" valign="middle">Density of excitatory inputs</td>
<td align="left" valign="middle">Fewer but stronger excitatory synapses.</td>
<td align="left" valign="middle">Many weak excitatory synapses.</td>
<td align="left" valign="middle">Fewer synapses mean less maintenance; metabolically more economical with similar network performance.</td>
</tr>
<tr>
<td align="left" valign="middle">Inhibitory input density (somatic and proximal dendritic)</td>
<td align="left" valign="middle">More GABAergic synapses on soma/proximal dendrites.</td>
<td align="left" valign="middle">Fewer inhibitory synapses.</td>
<td align="left" valign="middle">Enables tighter control of spike timing; may increase signaling precision with moderate energetic cost for maintaining more synapses.</td>
</tr>
<tr>
<td align="left" valign="middle">Autaptic GABAergic synapses</td>
<td align="left" valign="middle">Similar number to rodents.</td>
<td align="left" valign="middle">Similar number.</td>
<td align="left" valign="middle">Maintains self-inhibition dynamics; neutral energy effect (similar synaptic load).</td>
</tr>
<tr>
<td align="left" valign="middle">Effectiveness of inhibitory conductance</td>
<td align="left" valign="middle">Higher resting input resistance &#x2192; smaller GABA<sub>A</sub>R activation needed for the same inhibition.</td>
<td align="left" valign="middle">Lower input resistance &#x2192; stronger GABA<sub>A</sub>R activation required.</td>
<td align="left" valign="middle">Enhanced inhibitory efficiency; less ionic flux per inhibitory event &#x2192; energy-saving mechanism.</td>
</tr>
<tr>
<td align="left" valign="middle">Adaptations to sparse coding</td>
<td align="left" valign="middle">Well adapted through the above features</td>
<td align="left" valign="middle">Less well adapted</td>
<td align="left" valign="middle">Metabolic energy-saving mechanism at the neuronal network level.</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
</sec>
<sec id="sec14">
<label>5</label>
<title>Summary</title>
<p>Human parvalbumin-expressing fast-spiking interneurons combine a repertoire of structural and metabolic adaptations that sustain rapid, precise inhibition in the large human cortex. Despite their larger size and higher input resistance, they maintain fast signaling through specialized AIS and HCN channel expression, strong axonal myelination, simplified dendritic trees, and stabilizing perineuronal nets. A more depolarized resting potential and efficient mitochondrial ATP production reduce energy costs. The human PVFS interneurons are well adapted to operate within a sparse cortical coding regime, where only a limited subset of neurons is active at any given time, and which is therefore energy efficient. Their strong excitatory postsynaptic potentials, elevated intrinsic excitability, and lowered input&#x2013;output transformation threshold allow them to respond rapidly to minimal excitatory drive. At the same time, their powerful and temporally precise inhibitory output ensures accurate control over local network activity, preventing runaway excitation.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="sec15">
<title>Author contributions</title>
<p>VS: Conceptualization, Supervision, Visualization, Writing &#x2013; original draft, Writing &#x2013; review &#x0026; editing. AD: Writing &#x2013; review &#x0026; editing. GH: Resources, Writing &#x2013; review &#x0026; editing. LN: Resources, Writing &#x2013; review &#x0026; editing. KL: Conceptualization, Funding acquisition, Project administration, Writing &#x2013; review &#x0026; editing.</p>
</sec>
<sec sec-type="COI-statement" id="sec16">
<title>Conflict of interest</title>
<p>The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="ai-statement" id="sec17">
<title>Generative AI statement</title>
<p>The author(s) declared that Generative AI was used in the creation of this manuscript. The figure was prepared with the help of AI.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec18">
<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>
<ref-list>
<title>References</title>
<ref id="ref1"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Alibrandi</surname> <given-names>L.</given-names></name> <name><surname>Lionetti</surname> <given-names>V.</given-names></name></person-group> (<year>2025</year>). <article-title>Interspecies differences in mitochondria: implications for cardiac and vascular translational research</article-title>. <source>Vasc. Pharmacol.</source> <volume>159</volume>:<fpage>107476</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.vph.2025.107476</pub-id>, <pub-id pub-id-type="pmid">40037508</pub-id></mixed-citation></ref>
<ref id="ref2"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Attwell</surname> <given-names>D.</given-names></name> <name><surname>Laughlin</surname> <given-names>S. B.</given-names></name></person-group> (<year>2001</year>). <article-title>An energy budget for signaling in the grey matter of the brain</article-title>. <source>J. Cereb. Blood Flow Metab.</source> <volume>21</volume>, <fpage>1133</fpage>&#x2013;<lpage>1145</lpage>. doi: <pub-id pub-id-type="doi">10.1097/00004647-200110000-00001</pub-id>, <pub-id pub-id-type="pmid">11598490</pub-id></mixed-citation></ref>
<ref id="ref3"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Auer</surname> <given-names>S.</given-names></name> <name><surname>Schicht</surname> <given-names>M.</given-names></name> <name><surname>Hoffmann</surname> <given-names>L.</given-names></name> <name><surname>Budday</surname> <given-names>S.</given-names></name> <name><surname>Frischknecht</surname> <given-names>R.</given-names></name> <name><surname>Blumcke</surname> <given-names>I.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>The role of perineuronal nets in physiology and disease: insights from recent studies</article-title>. <source>Cells</source> <volume>14</volume>:<fpage>321</fpage>. doi: <pub-id pub-id-type="doi">10.3390/cells14050321</pub-id>, <pub-id pub-id-type="pmid">40072050</pub-id></mixed-citation></ref>
<ref id="ref4"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Azevedo</surname> <given-names>F. A.</given-names></name> <name><surname>Carvalho</surname> <given-names>L. R.</given-names></name> <name><surname>Grinberg</surname> <given-names>L. T.</given-names></name> <name><surname>Farfel</surname> <given-names>J. M.</given-names></name> <name><surname>Ferretti</surname> <given-names>R. E.</given-names></name> <name><surname>Leite</surname> <given-names>R. E.</given-names></name> <etal/></person-group>. (<year>2009</year>). <article-title>Equal numbers of neuronal and nonneuronal cells make the human brain an isometrically scaled-up primate brain</article-title>. <source>J. Comp. Neurol.</source> <volume>513</volume>, <fpage>532</fpage>&#x2013;<lpage>541</lpage>. doi: <pub-id pub-id-type="doi">10.1002/cne.21974</pub-id>, <pub-id pub-id-type="pmid">19226510</pub-id></mixed-citation></ref>
<ref id="ref9001"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Bakos</surname> <given-names>E.</given-names></name> <name><surname>Tiszlavicz</surname> <given-names>&#x00C1;.</given-names></name> <name><surname>Szegedi</surname> <given-names>V.</given-names></name> <name><surname>Douida</surname> <given-names>A.</given-names></name> <name><surname>Furdan</surname> <given-names>S.</given-names></name> <name><surname>Welter</surname> <given-names>D. K.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Adaptations of the axon initial segment in fast-spiking interneurons of the human neocortex support low action potential thresholds</article-title>. <source>PLoS Biol.</source> <volume>23</volume>:<fpage>e3003549</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pbio.3003549</pub-id></mixed-citation></ref>
<ref id="ref5"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Balaram</surname> <given-names>P.</given-names></name> <name><surname>Kaas</surname> <given-names>J. H.</given-names></name></person-group> (<year>2014</year>). <article-title>Towards a unified scheme of cortical lamination for primary visual cortex across primates: insights from NeuN and VGLUT2 immunoreactivity</article-title>. <source>Front. Neuroanat.</source> <volume>8</volume>:<fpage>81</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnana.2014.00081</pub-id>, <pub-id pub-id-type="pmid">25177277</pub-id></mixed-citation></ref>
<ref id="ref6"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Belliveau</surname> <given-names>C.</given-names></name> <name><surname>Theberge</surname> <given-names>S.</given-names></name> <name><surname>Netto</surname> <given-names>S.</given-names></name> <name><surname>Rahimian</surname> <given-names>R.</given-names></name> <name><surname>Fakhfouri</surname> <given-names>G.</given-names></name> <name><surname>Hosdey</surname> <given-names>C.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Chondroitin sulfate glycan sulfation patterns influence histochemical labeling of perineuronal nets: a comparative study of interregional distribution in human and mouse brain</article-title>. <source>Glycobiology</source> <volume>34</volume>:<fpage>cwae049</fpage>. doi: <pub-id pub-id-type="doi">10.1093/glycob/cwae049</pub-id>, <pub-id pub-id-type="pmid">38995945</pub-id></mixed-citation></ref>
<ref id="ref7"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Benamer</surname> <given-names>N.</given-names></name> <name><surname>Vidal</surname> <given-names>M.</given-names></name> <name><surname>Balia</surname> <given-names>M.</given-names></name> <name><surname>Angulo</surname> <given-names>M. C.</given-names></name></person-group> (<year>2020</year>). <article-title>Myelination of parvalbumin interneurons shapes the function of cortical sensory inhibitory circuits</article-title>. <source>Nat. Commun.</source> <volume>11</volume>:<fpage>5151</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-020-18984-7</pub-id>, <pub-id pub-id-type="pmid">33051462</pub-id></mixed-citation></ref>
<ref id="ref8"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Benavides-Piccione</surname> <given-names>R.</given-names></name> <name><surname>Fernaud-Espinosa</surname> <given-names>I.</given-names></name> <name><surname>Kastanauskaite</surname> <given-names>A.</given-names></name> <name><surname>DeFelipe</surname> <given-names>J.</given-names></name></person-group> (<year>2025</year>). <article-title>Principles for dendritic spine size and density in human and mouse cortical pyramidal neurons</article-title>. <source>J. Comp. Neurol.</source> <volume>533</volume>:<fpage>e70060</fpage>. doi: <pub-id pub-id-type="doi">10.1002/cne.70060</pub-id>, <pub-id pub-id-type="pmid">40421877</pub-id></mixed-citation></ref>
<ref id="ref9"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Bosiacki</surname> <given-names>M.</given-names></name> <name><surname>Gassowska-Dobrowolska</surname> <given-names>M.</given-names></name> <name><surname>Kojder</surname> <given-names>K.</given-names></name> <name><surname>Fabianska</surname> <given-names>M.</given-names></name> <name><surname>Jezewski</surname> <given-names>D.</given-names></name> <name><surname>Gutowska</surname> <given-names>I.</given-names></name> <etal/></person-group> <year>2019</year>). <article-title>Perineuronal nets and their role in synaptic homeostasis</article-title>. <source>Int. J. Mol. Sci.</source> <volume>20</volume>:<fpage>4108</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms20174108</pub-id>, 31443560.</mixed-citation></ref>
<ref id="ref10"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Castelfranco</surname> <given-names>A. M.</given-names></name> <name><surname>Hartline</surname> <given-names>D. K.</given-names></name></person-group> (<year>2015</year>). <article-title>The evolution of vertebrate and invertebrate myelin: a theoretical computational study</article-title>. <source>J. Comput. Neurosci.</source> <volume>38</volume>, <fpage>521</fpage>&#x2013;<lpage>538</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10827-015-0552-x</pub-id></mixed-citation></ref>
<ref id="ref11"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chaunsali</surname> <given-names>L.</given-names></name> <name><surname>Tewari</surname> <given-names>B. P.</given-names></name> <name><surname>Sontheimer</surname> <given-names>H.</given-names></name></person-group> (<year>2021</year>). <article-title>Perineuronal net dynamics in the pathophysiology of epilepsy</article-title>. <source>Epilepsy Curr</source> <volume>21</volume>, <fpage>273</fpage>&#x2013;<lpage>281</lpage>. doi: <pub-id pub-id-type="doi">10.1177/15357597211018688</pub-id>, <pub-id pub-id-type="pmid">34690566</pub-id></mixed-citation></ref>
<ref id="ref12"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Combe</surname> <given-names>C. L.</given-names></name> <name><surname>Gasparini</surname> <given-names>S.</given-names></name></person-group> (<year>2021</year>). <article-title>I(h) from synapses to networks: HCN channel functions and modulation in neurons</article-title>. <source>Prog. Biophys. Mol. Biol.</source> <volume>166</volume>, <fpage>119</fpage>&#x2013;<lpage>132</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.pbiomolbio.2021.06.002</pub-id>, <pub-id pub-id-type="pmid">34181891</pub-id></mixed-citation></ref>
<ref id="ref13"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>da Silva</surname> <given-names>M. D. V.</given-names></name> <name><surname>Bacarin</surname> <given-names>C. C.</given-names></name> <name><surname>Machado</surname> <given-names>C. C. A.</given-names></name> <name><surname>Franciosi</surname> <given-names>A.</given-names></name> <name><surname>Mendes</surname> <given-names>J. D. L.</given-names></name> <name><surname>da Silva Watanabe</surname> <given-names>P.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Descriptive study of perineuronal net in enteric nervous system of humans and mice</article-title>. <source>J. Neurochem.</source> <volume>168</volume>, <fpage>1956</fpage>&#x2013;<lpage>1972</lpage>. doi: <pub-id pub-id-type="doi">10.1111/jnc.16159</pub-id>, <pub-id pub-id-type="pmid">38970456</pub-id></mixed-citation></ref>
<ref id="ref14"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Das</surname> <given-names>B.</given-names></name> <name><surname>Baruah</surname> <given-names>S. M. B.</given-names></name> <name><surname>Roy</surname> <given-names>S.</given-names></name> <name><surname>Bhattacharyya</surname> <given-names>D. K.</given-names></name></person-group> (<year>2025</year>). <article-title>An effective framework to study signal transmission due to non-homogeneous extracellular space in neuron</article-title>. <source>J. Biol. Phys.</source> <volume>51</volume>:<fpage>24</fpage>. doi: <pub-id pub-id-type="doi">10.1007/s10867-025-09689-3</pub-id>, <pub-id pub-id-type="pmid">40833646</pub-id></mixed-citation></ref>
<ref id="ref15"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Douglas</surname> <given-names>R. J.</given-names></name> <name><surname>Martin</surname> <given-names>K. A.</given-names></name></person-group> (<year>2007</year>). <article-title>Recurrent neuronal circuits in the neocortex</article-title>. <source>Curr. Biol.</source> <volume>17</volume>, <fpage>R496</fpage>&#x2013;<lpage>R500</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cub.2007.04.024</pub-id>, <pub-id pub-id-type="pmid">17610826</pub-id></mixed-citation></ref>
<ref id="ref16"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Faitg</surname> <given-names>J.</given-names></name> <name><surname>Lacefield</surname> <given-names>C.</given-names></name> <name><surname>Davey</surname> <given-names>T.</given-names></name> <name><surname>White</surname> <given-names>K.</given-names></name> <name><surname>Laws</surname> <given-names>R.</given-names></name> <name><surname>Kosmidis</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2021</year>). <article-title>3D neuronal mitochondrial morphology in axons, dendrites, and somata of the aging mouse hippocampus</article-title>. <source>Cell Rep.</source> <volume>36</volume>:<fpage>109509</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.celrep.2021.109509</pub-id>, <pub-id pub-id-type="pmid">34380033</pub-id></mixed-citation></ref>
<ref id="ref17"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fawcett</surname> <given-names>J. W.</given-names></name> <name><surname>Oohashi</surname> <given-names>T.</given-names></name> <name><surname>Pizzorusso</surname> <given-names>T.</given-names></name></person-group> (<year>2019</year>). <article-title>The roles of perineuronal nets and the perinodal extracellular matrix in neuronal function</article-title>. <source>Nat. Rev. Neurosci.</source> <volume>20</volume>, <fpage>451</fpage>&#x2013;<lpage>465</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41583-019-0196-3</pub-id>, <pub-id pub-id-type="pmid">31263252</pub-id></mixed-citation></ref>
<ref id="ref18"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fecher</surname> <given-names>C.</given-names></name> <name><surname>Trovo</surname> <given-names>L.</given-names></name> <name><surname>Muller</surname> <given-names>S. A.</given-names></name> <name><surname>Snaidero</surname> <given-names>N.</given-names></name> <name><surname>Wettmarshausen</surname> <given-names>J.</given-names></name> <name><surname>Heink</surname> <given-names>S.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Cell-type-specific profiling of brain mitochondria reveals functional and molecular diversity</article-title>. <source>Nat. Neurosci.</source> <volume>22</volume>, <fpage>1731</fpage>&#x2013;<lpage>1742</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41593-019-0479-z</pub-id>, <pub-id pub-id-type="pmid">31501572</pub-id></mixed-citation></ref>
<ref id="ref19"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fields</surname> <given-names>R. D.</given-names></name></person-group> (<year>2015</year>). <article-title>A new mechanism of nervous system plasticity: activity-dependent myelination</article-title>. <source>Nat. Rev. Neurosci.</source> <volume>16</volume>, <fpage>756</fpage>&#x2013;<lpage>767</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrn4023</pub-id>, <pub-id pub-id-type="pmid">26585800</pub-id></mixed-citation></ref>
<ref id="ref20"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Furdan</surname> <given-names>S.</given-names></name> <name><surname>Douida</surname> <given-names>A.</given-names></name> <name><surname>Bakos</surname> <given-names>E.</given-names></name> <name><surname>Tiszlavicz</surname> <given-names>A.</given-names></name> <name><surname>Molnar</surname> <given-names>G.</given-names></name> <name><surname>Tamas</surname> <given-names>G.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Regulation of input excitability in human and mouse parvalbumin interneurons by kir potassium channels</article-title>. <source>bioRxiv.</source> doi: <pub-id pub-id-type="doi">10.1101/2025.04.11.648314</pub-id>, <pub-id pub-id-type="pmid">40321216</pub-id></mixed-citation></ref>
<ref id="ref21"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gadsby</surname> <given-names>D. C.</given-names></name></person-group> (<year>2009</year>). <article-title>Ion channels versus ion pumps: the principal difference, in principle</article-title>. <source>Nat. Rev. Mol. Cell Biol.</source> <volume>10</volume>, <fpage>344</fpage>&#x2013;<lpage>352</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrm2668</pub-id>, <pub-id pub-id-type="pmid">19339978</pub-id></mixed-citation></ref>
<ref id="ref22"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gadsby</surname> <given-names>D. C.</given-names></name> <name><surname>Kimura</surname> <given-names>J.</given-names></name> <name><surname>Noma</surname> <given-names>A.</given-names></name></person-group> (<year>1985</year>). <article-title>Voltage dependence of Na/K pump current in isolated heart cells</article-title>. <source>Nature</source> <volume>315</volume>, <fpage>63</fpage>&#x2013;<lpage>65</lpage>. doi: <pub-id pub-id-type="doi">10.1038/315063a0</pub-id>, <pub-id pub-id-type="pmid">2581143</pub-id></mixed-citation></ref>
<ref id="ref23"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Gentet</surname> <given-names>L. J.</given-names></name> <name><surname>Stuart</surname> <given-names>G. J.</given-names></name> <name><surname>Clements</surname> <given-names>J. D.</given-names></name></person-group> (<year>2000</year>). <article-title>Direct measurement of specific membrane capacitance in neurons</article-title>. <source>Biophys. J.</source> <volume>79</volume>, <fpage>314</fpage>&#x2013;<lpage>320</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0006-3495(00)76293-X</pub-id>, <pub-id pub-id-type="pmid">10866957</pub-id></mixed-citation></ref>
<ref id="ref24"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hansen</surname> <given-names>P. S.</given-names></name> <name><surname>Buhagiar</surname> <given-names>K. A.</given-names></name> <name><surname>Kong</surname> <given-names>B. Y.</given-names></name> <name><surname>Clarke</surname> <given-names>R. J.</given-names></name> <name><surname>Gray</surname> <given-names>D. F.</given-names></name> <name><surname>Rasmussen</surname> <given-names>H. H.</given-names></name></person-group> (<year>2002</year>). <article-title>Dependence of Na+-K+ pump current-voltage relationship on intracellular Na+, K+, and cs+ in rabbit cardiac myocytes</article-title>. <source>Am. J. Physiol. Cell Physiol.</source> <volume>283</volume>, <fpage>C1511</fpage>&#x2013;<lpage>C1521</lpage>. doi: <pub-id pub-id-type="doi">10.1152/ajpcell.01343.2000</pub-id></mixed-citation></ref>
<ref id="ref25"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hanson</surname> <given-names>K. L.</given-names></name> <name><surname>Greiner</surname> <given-names>D. M. Z.</given-names></name> <name><surname>Schumann</surname> <given-names>C. M.</given-names></name> <name><surname>Semendeferi</surname> <given-names>K.</given-names></name></person-group> (<year>2025</year>). <article-title>Inhibitory systems in brain evolution: pathways of vulnerability in neurodevelopmental disorders</article-title>. <source>Brain Behav. Evol.</source> <volume>100</volume>, <fpage>29</fpage>&#x2013;<lpage>48</lpage>. doi: <pub-id pub-id-type="doi">10.1159/000540865</pub-id>, <pub-id pub-id-type="pmid">39137740</pub-id></mixed-citation></ref>
<ref id="ref26"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hanssen</surname> <given-names>K. O.</given-names></name> <name><surname>Grodem</surname> <given-names>S.</given-names></name> <name><surname>Fyhn</surname> <given-names>M.</given-names></name> <name><surname>Hafting</surname> <given-names>T.</given-names></name> <name><surname>Einevoll</surname> <given-names>G. T.</given-names></name> <name><surname>Ness</surname> <given-names>T. V.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Responses in fast-spiking interneuron firing rates to parameter variations associated with degradation of perineuronal nets</article-title>. <source>J. Comput. Neurosci.</source> <volume>51</volume>, <fpage>283</fpage>&#x2013;<lpage>298</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10827-023-00849-9</pub-id>, <pub-id pub-id-type="pmid">37058180</pub-id></mixed-citation></ref>
<ref id="ref27"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Harris</surname> <given-names>J. J.</given-names></name> <name><surname>Jolivet</surname> <given-names>R.</given-names></name> <name><surname>Attwell</surname> <given-names>D.</given-names></name></person-group> (<year>2012</year>). <article-title>Synaptic energy use and supply</article-title>. <source>Neuron</source> <volume>75</volume>, <fpage>762</fpage>&#x2013;<lpage>777</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2012.08.019</pub-id>, <pub-id pub-id-type="pmid">22958818</pub-id></mixed-citation></ref>
<ref id="ref28"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hartline</surname> <given-names>D. K.</given-names></name> <name><surname>Colman</surname> <given-names>D. R.</given-names></name></person-group> (<year>2007</year>). <article-title>Rapid conduction and the evolution of giant axons and myelinated fibers</article-title>. <source>Curr. Biol.</source> <volume>17</volume>, <fpage>R29</fpage>&#x2013;<lpage>R35</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cub.2006.11.042</pub-id>, <pub-id pub-id-type="pmid">17208176</pub-id></mixed-citation></ref>
<ref id="ref29"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hasenstaub</surname> <given-names>A.</given-names></name> <name><surname>Otte</surname> <given-names>S.</given-names></name> <name><surname>Callaway</surname> <given-names>E.</given-names></name> <name><surname>Sejnowski</surname> <given-names>T. J.</given-names></name></person-group> (<year>2010</year>). <article-title>Metabolic cost as a unifying principle governing neuronal biophysics</article-title>. <source>Proc. Natl. Acad. Sci. USA</source> <volume>107</volume>, <fpage>12329</fpage>&#x2013;<lpage>12334</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.0914886107</pub-id>, <pub-id pub-id-type="pmid">20616090</pub-id></mixed-citation></ref>
<ref id="ref30"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Herculano-Houzel</surname> <given-names>S.</given-names></name></person-group> (<year>2009</year>). <article-title>The human brain in numbers: a linearly scaled-up primate brain</article-title>. <source>Front. Hum. Neurosci.</source> <volume>3</volume>:<fpage>31</fpage>. doi: <pub-id pub-id-type="doi">10.3389/neuro.09.031.2009</pub-id>, <pub-id pub-id-type="pmid">19915731</pub-id></mixed-citation></ref>
<ref id="ref31"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Herculano-Houzel</surname> <given-names>S.</given-names></name></person-group> (<year>2011</year>). <article-title>Scaling of brain metabolism with a fixed energy budget per neuron: implications for neuronal activity, plasticity and evolution</article-title>. <source>PLoS One</source> <volume>6</volume>:<fpage>e17514</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pone.0017514</pub-id>, <pub-id pub-id-type="pmid">21390261</pub-id></mixed-citation></ref>
<ref id="ref32"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Herculano-Houzel</surname> <given-names>S.</given-names></name> <name><surname>Avelino-de-Souza</surname> <given-names>K.</given-names></name> <name><surname>Neves</surname> <given-names>K.</given-names></name> <name><surname>Porfirio</surname> <given-names>J.</given-names></name> <name><surname>Messeder</surname> <given-names>D.</given-names></name> <name><surname>Mattos Feijo</surname> <given-names>L.</given-names></name> <etal/></person-group>. (<year>2014a</year>). <article-title>The elephant brain in numbers</article-title>. <source>Front. Neuroanat.</source> <volume>8</volume>:<fpage>46</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnana.2014.00046</pub-id>, <pub-id pub-id-type="pmid">24971054</pub-id></mixed-citation></ref>
<ref id="ref33"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Herculano-Houzel</surname> <given-names>S.</given-names></name> <name><surname>Manger</surname> <given-names>P. R.</given-names></name> <name><surname>Kaas</surname> <given-names>J. H.</given-names></name></person-group> (<year>2014b</year>). <article-title>Brain scaling in mammalian evolution as a consequence of concerted and mosaic changes in numbers of neurons and average neuronal cell size</article-title>. <source>Front. Neuroanat.</source> <volume>8</volume>:<fpage>77</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnana.2014.00077</pub-id>, <pub-id pub-id-type="pmid">25157220</pub-id></mixed-citation></ref>
<ref id="ref34"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Herculano-Houzel</surname> <given-names>S.</given-names></name> <name><surname>Ribeiro</surname> <given-names>P.</given-names></name> <name><surname>Campos</surname> <given-names>L.</given-names></name> <name><surname>Valotta da Silva</surname> <given-names>A.</given-names></name> <name><surname>Torres</surname> <given-names>L. B.</given-names></name> <name><surname>Catania</surname> <given-names>K. C.</given-names></name> <etal/></person-group>. (<year>2011</year>). <article-title>Updated neuronal scaling rules for the brains of Glires (rodents/lagomorphs)</article-title>. <source>Brain Behav. Evol.</source> <volume>78</volume>, <fpage>302</fpage>&#x2013;<lpage>314</lpage>. doi: <pub-id pub-id-type="doi">10.1159/000330825</pub-id>, <pub-id pub-id-type="pmid">21985803</pub-id></mixed-citation></ref>
<ref id="ref35"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hirabayashi</surname> <given-names>Y.</given-names></name> <name><surname>Lewis</surname> <given-names>T. L.</given-names> <suffix>Jr.</suffix></name> <name><surname>Du</surname> <given-names>Y.</given-names></name> <name><surname>Virga</surname> <given-names>D. M.</given-names></name> <name><surname>Decker</surname> <given-names>A. M.</given-names></name> <name><surname>Coceano</surname> <given-names>G.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Most axonal mitochondria in cortical pyramidal neurons lack mitochondrial DNA and consume ATP</article-title>. <source>bioRxiv.</source> doi: <pub-id pub-id-type="doi">10.1101/2024.02.12.579972</pub-id></mixed-citation></ref>
<ref id="ref36"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hu</surname> <given-names>H.</given-names></name> <name><surname>Gan</surname> <given-names>J.</given-names></name> <name><surname>Jonas</surname> <given-names>P.</given-names></name></person-group> (<year>2014</year>). <article-title>Interneurons. Fast-spiking, parvalbumin(+) GABAergic interneurons: from cellular design to microcircuit function</article-title>. <source>Science</source> <volume>345</volume>:<fpage>1255263</fpage>. doi: <pub-id pub-id-type="doi">10.1126/science.1255263</pub-id>, <pub-id pub-id-type="pmid">25082707</pub-id></mixed-citation></ref>
<ref id="ref37"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hunt</surname> <given-names>S.</given-names></name> <name><surname>Leibner</surname> <given-names>Y.</given-names></name> <name><surname>Mertens</surname> <given-names>E. J.</given-names></name> <name><surname>Barros-Zulaica</surname> <given-names>N.</given-names></name> <name><surname>Kanari</surname> <given-names>L.</given-names></name> <name><surname>Heistek</surname> <given-names>T. S.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Strong and reliable synaptic communication between pyramidal neurons in adult human cerebral cortex</article-title>. <source>Cereb. Cortex</source> <volume>33</volume>, <fpage>2857</fpage>&#x2013;<lpage>2878</lpage>. doi: <pub-id pub-id-type="doi">10.1093/cercor/bhac246</pub-id>, <pub-id pub-id-type="pmid">35802476</pub-id></mixed-citation></ref>
<ref id="ref38"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hyder</surname> <given-names>F.</given-names></name> <name><surname>Herman</surname> <given-names>P.</given-names></name> <name><surname>Sanganahalli</surname> <given-names>B. G.</given-names></name> <name><surname>Coman</surname> <given-names>D.</given-names></name> <name><surname>Blumenfeld</surname> <given-names>H.</given-names></name> <name><surname>Rothman</surname> <given-names>D. L.</given-names></name></person-group> (<year>2011</year>). <article-title>Role of ongoing, intrinsic activity of neuronal populations for quantitative neuroimaging of functional magnetic resonance imaging-based networks</article-title>. <source>Brain Connect.</source> <volume>1</volume>, <fpage>185</fpage>&#x2013;<lpage>193</lpage>. doi: <pub-id pub-id-type="doi">10.1089/brain.2011.0032</pub-id>, <pub-id pub-id-type="pmid">22433047</pub-id></mixed-citation></ref>
<ref id="ref39"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Iwata</surname> <given-names>R.</given-names></name> <name><surname>Casimir</surname> <given-names>P.</given-names></name> <name><surname>Erkol</surname> <given-names>E.</given-names></name> <name><surname>Boubakar</surname> <given-names>L.</given-names></name> <name><surname>Planque</surname> <given-names>M.</given-names></name> <name><surname>Gallego Lopez</surname> <given-names>I. M.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Mitochondria metabolism sets the species-specific tempo of neuronal development</article-title>. <source>Science</source> <volume>379</volume>:<fpage>eabn4705</fpage>. doi: <pub-id pub-id-type="doi">10.1126/science.abn4705</pub-id>, <pub-id pub-id-type="pmid">36705539</pub-id></mixed-citation></ref>
<ref id="ref40"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Jeffreys</surname> <given-names>A.</given-names></name> <name><surname>Craig</surname> <given-names>I.</given-names></name></person-group> (<year>1974</year>). <article-title>Differences in the products of mitochondrial protein synthesis in vivo in human and mouse cells and their potential use as markers for the mitochondrial genome in human--mouse somatic cell hybrids</article-title>. <source>Biochem. J.</source> <volume>144</volume>, <fpage>161</fpage>&#x2013;<lpage>164</lpage>. doi: <pub-id pub-id-type="doi">10.1042/bj1440161</pub-id>, <pub-id pub-id-type="pmid">4462569</pub-id></mixed-citation></ref>
<ref id="ref41"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kalmbach</surname> <given-names>B. E.</given-names></name> <name><surname>Buchin</surname> <given-names>A.</given-names></name> <name><surname>Long</surname> <given-names>B.</given-names></name> <name><surname>Close</surname> <given-names>J.</given-names></name> <name><surname>Nandi</surname> <given-names>A.</given-names></name> <name><surname>Miller</surname> <given-names>J. A.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>H-channels contribute to divergent intrinsic membrane properties of Supragranular pyramidal neurons in human versus mouse cerebral cortex</article-title>. <source>Neuron</source> <volume>100</volume>, <fpage>1194</fpage>&#x2013;<lpage>1208.e5</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2018.10.012</pub-id>, <pub-id pub-id-type="pmid">30392798</pub-id></mixed-citation></ref>
<ref id="ref42"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kanari</surname> <given-names>L.</given-names></name> <name><surname>Shi</surname> <given-names>Y.</given-names></name> <name><surname>Arnaudon</surname> <given-names>A.</given-names></name> <name><surname>Barros-Zulaica</surname> <given-names>N.</given-names></name> <name><surname>Benavides-Piccione</surname> <given-names>R.</given-names></name> <name><surname>Coggan</surname> <given-names>J. S.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Of mice and men: dendritic architecture differentiates human from mouse neuronal networks</article-title>. <source>iScience</source> <volume>28</volume>:<fpage>112928</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.isci.2025.112928</pub-id>, <pub-id pub-id-type="pmid">40687823</pub-id></mixed-citation></ref>
<ref id="ref43"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kann</surname> <given-names>O.</given-names></name> <name><surname>Papageorgiou</surname> <given-names>I. E.</given-names></name> <name><surname>Draguhn</surname> <given-names>A.</given-names></name></person-group> (<year>2014</year>). <article-title>Highly energized inhibitory interneurons are a central element for information processing in cortical networks</article-title>. <source>J. Cereb. Blood Flow Metab.</source> <volume>34</volume>, <fpage>1270</fpage>&#x2013;<lpage>1282</lpage>. doi: <pub-id pub-id-type="doi">10.1038/jcbfm.2014.104</pub-id>, <pub-id pub-id-type="pmid">24896567</pub-id></mixed-citation></ref>
<ref id="ref44"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Karbowski</surname> <given-names>J.</given-names></name></person-group> (<year>2007</year>). <article-title>Global and regional brain metabolic scaling and its functional consequences</article-title>. <source>BMC Biol.</source> <volume>5</volume>:<fpage>18</fpage>. doi: <pub-id pub-id-type="doi">10.1186/1741-7007-5-18</pub-id>, <pub-id pub-id-type="pmid">17488526</pub-id></mixed-citation></ref>
<ref id="ref45"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Karl</surname> <given-names>M. T.</given-names></name> <name><surname>Kim</surname> <given-names>Y. D.</given-names></name> <name><surname>Rajendran</surname> <given-names>K.</given-names></name> <name><surname>Manger</surname> <given-names>P. R.</given-names></name> <name><surname>Sherwood</surname> <given-names>C. C.</given-names></name></person-group> (<year>2024</year>). <article-title>Invariance of mitochondria and synapses in the primary visual cortex of mammals provides insight into energetics and function</article-title>. <source>J. Comp. Neurol.</source> <volume>532</volume>:<fpage>e25669</fpage>. doi: <pub-id pub-id-type="doi">10.1002/cne.25669</pub-id>, <pub-id pub-id-type="pmid">39291629</pub-id></mixed-citation></ref>
<ref id="ref46"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Karube</surname> <given-names>F.</given-names></name> <name><surname>Kubota</surname> <given-names>Y.</given-names></name> <name><surname>Kawaguchi</surname> <given-names>Y.</given-names></name></person-group> (<year>2004</year>). <article-title>Axon branching and synaptic Bouton phenotypes in GABAergic nonpyramidal cell subtypes</article-title>. <source>J. Neurosci.</source> <volume>24</volume>, <fpage>2853</fpage>&#x2013;<lpage>2865</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.4814-03.2004</pub-id>, <pub-id pub-id-type="pmid">15044524</pub-id></mixed-citation></ref>
<ref id="ref47"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kole</surname> <given-names>K.</given-names></name> <name><surname>Voesenek</surname> <given-names>B. J. B.</given-names></name> <name><surname>Brinia</surname> <given-names>M. E.</given-names></name> <name><surname>Petersen</surname> <given-names>N.</given-names></name> <name><surname>Kole</surname> <given-names>M. H. P.</given-names></name></person-group> (<year>2022</year>). <article-title>Parvalbumin basket cell myelination accumulates axonal mitochondria to internodes</article-title>. <source>Nat. Commun.</source> <volume>13</volume>:<fpage>7598</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-022-35350-x</pub-id>, <pub-id pub-id-type="pmid">36494349</pub-id></mixed-citation></ref>
<ref id="ref48"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Komlosi</surname> <given-names>G.</given-names></name> <name><surname>Molnar</surname> <given-names>G.</given-names></name> <name><surname>Rozsa</surname> <given-names>M.</given-names></name> <name><surname>Olah</surname> <given-names>S.</given-names></name> <name><surname>Barzo</surname> <given-names>P.</given-names></name> <name><surname>Tamas</surname> <given-names>G.</given-names></name></person-group> (<year>2012</year>). <article-title>Fluoxetine (prozac) and serotonin act on excitatory synaptic transmission to suppress single layer 2/3 pyramidal neuron-triggered cell assemblies in the human prefrontal cortex</article-title>. <source>J. Neurosci.</source> <volume>32</volume>, <fpage>16369</fpage>&#x2013;<lpage>16378</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.2618-12.2012</pub-id>, <pub-id pub-id-type="pmid">23152619</pub-id></mixed-citation></ref>
<ref id="ref49"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kooijmans</surname> <given-names>R. N.</given-names></name> <name><surname>Sierhuis</surname> <given-names>W.</given-names></name> <name><surname>Self</surname> <given-names>M. W.</given-names></name> <name><surname>Roelfsema</surname> <given-names>P. R.</given-names></name></person-group> (<year>2020</year>). <article-title>A quantitative comparison of inhibitory interneuron size and distribution between mouse and macaque V1, using calcium-binding proteins</article-title>. <source>Cereb Cortex Commun</source> <volume>1</volume>:<fpage>tgaa068</fpage>. doi: <pub-id pub-id-type="doi">10.1093/texcom/tgaa068</pub-id>, <pub-id pub-id-type="pmid">34296129</pub-id></mixed-citation></ref>
<ref id="ref50"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kubota</surname> <given-names>Y.</given-names></name> <name><surname>Karube</surname> <given-names>F.</given-names></name> <name><surname>Nomura</surname> <given-names>M.</given-names></name> <name><surname>Kawaguchi</surname> <given-names>Y.</given-names></name></person-group> (<year>2016</year>). <article-title>The diversity of cortical inhibitory synapses</article-title>. <source>Front Neural Circuits</source> <volume>10</volume>:<fpage>27</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fncir.2016.00027</pub-id>, <pub-id pub-id-type="pmid">27199670</pub-id></mixed-citation></ref>
<ref id="ref51"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kuznetsov</surname> <given-names>A. V.</given-names></name> <name><surname>Margreiter</surname> <given-names>R.</given-names></name></person-group> (<year>2009</year>). <article-title>Heterogeneity of mitochondria and mitochondrial function within cells as another level of mitochondrial complexity</article-title>. <source>Int. J. Mol. Sci.</source> <volume>10</volume>, <fpage>1911</fpage>&#x2013;<lpage>1929</lpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms10041911</pub-id>, <pub-id pub-id-type="pmid">19468346</pub-id></mixed-citation></ref>
<ref id="ref52"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Laughlin</surname> <given-names>S.B.</given-names></name></person-group> van <person-group person-group-type="author"><name><surname>de Ruyter Steveninck</surname> <given-names>R.R.</given-names></name> <name><surname>Anderson</surname> <given-names>J.C.</given-names></name></person-group> <year>1998</year> <article-title>The metabolic cost of neural information</article-title> <source>Nat. Neurosci.</source> <volume>1</volume>  <fpage>36</fpage>&#x2013;<lpage>41</lpage> doi: <pub-id pub-id-type="doi">10.1038/236</pub-id> <pub-id pub-id-type="pmid">10195106</pub-id></mixed-citation></ref>
<ref id="ref53"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lesage</surname> <given-names>F.</given-names></name> <name><surname>Lazdunski</surname> <given-names>M.</given-names></name></person-group> (<year>2000</year>). <article-title>Molecular and functional properties of two-pore-domain potassium channels</article-title>. <source>Am. J. Physiol. Renal Physiol.</source> <volume>279</volume>, <fpage>F793</fpage>&#x2013;<lpage>F801</lpage>. doi: <pub-id pub-id-type="doi">10.1152/ajprenal.2000.279.5.F793</pub-id></mixed-citation></ref>
<ref id="ref54"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lim</surname> <given-names>L.</given-names></name> <name><surname>Mi</surname> <given-names>D.</given-names></name> <name><surname>Llorca</surname> <given-names>A.</given-names></name> <name><surname>Marin</surname> <given-names>O.</given-names></name></person-group> (<year>2018</year>). <article-title>Development and functional diversification of cortical interneurons</article-title>. <source>Neuron</source> <volume>100</volume>, <fpage>294</fpage>&#x2013;<lpage>313</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2018.10.009</pub-id>, <pub-id pub-id-type="pmid">30359598</pub-id></mixed-citation></ref>
<ref id="ref55"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Magistretti</surname> <given-names>P. J.</given-names></name> <name><surname>Pellerin</surname> <given-names>L.</given-names></name> <name><surname>Rothman</surname> <given-names>D. L.</given-names></name> <name><surname>Shulman</surname> <given-names>R. G.</given-names></name></person-group> (<year>1999</year>). <article-title>Energy on demand</article-title>. <source>Science</source> <volume>283</volume>, <fpage>496</fpage>&#x2013;<lpage>497</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.283.5401.496</pub-id>, <pub-id pub-id-type="pmid">9988650</pub-id></mixed-citation></ref>
<ref id="ref56"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mattson</surname> <given-names>M. P.</given-names></name> <name><surname>Gleichmann</surname> <given-names>M.</given-names></name> <name><surname>Cheng</surname> <given-names>A.</given-names></name></person-group> (<year>2008</year>). <article-title>Mitochondria in neuroplasticity and neurological disorders</article-title>. <source>Neuron</source> <volume>60</volume>, <fpage>748</fpage>&#x2013;<lpage>766</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2008.10.010</pub-id>, <pub-id pub-id-type="pmid">19081372</pub-id></mixed-citation></ref>
<ref id="ref57"><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Mcgillis</surname> <given-names>K.</given-names></name></person-group> (<year>2018</year>). <source>Developmental postnatal neuroplasticity of the primate amygdala: A quantitative analysis of parvalbumin neurons and perineuronal nets. Master&#x2019;s Thesis, Harvard Extension School</source>.</mixed-citation></ref>
<ref id="ref58"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Melzer</surname> <given-names>S.</given-names></name> <name><surname>Michael</surname> <given-names>M.</given-names></name> <name><surname>Caputi</surname> <given-names>A.</given-names></name> <name><surname>Eliava</surname> <given-names>M.</given-names></name> <name><surname>Fuchs</surname> <given-names>E. C.</given-names></name> <name><surname>Whittington</surname> <given-names>M. A.</given-names></name> <etal/></person-group>. (<year>2012</year>). <article-title>Long-range-projecting GABAergic neurons modulate inhibition in hippocampus and entorhinal cortex</article-title>. <source>Science</source> <volume>335</volume>, <fpage>1506</fpage>&#x2013;<lpage>1510</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.1217139</pub-id>, <pub-id pub-id-type="pmid">22442486</pub-id></mixed-citation></ref>
<ref id="ref59"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Meyer</surname> <given-names>D. J.</given-names></name> <name><surname>Diaz-Garcia</surname> <given-names>C. M.</given-names></name> <name><surname>Nathwani</surname> <given-names>N.</given-names></name> <name><surname>Rahman</surname> <given-names>M.</given-names></name> <name><surname>Yellen</surname> <given-names>G.</given-names></name></person-group> (<year>2022</year>). <article-title>The Na(+)/K(+) pump dominates control of glycolysis in hippocampal dentate granule cells</article-title>. <source>eLife</source> <volume>11</volume>:<fpage>e81645</fpage>. doi: <pub-id pub-id-type="doi">10.7554/eLife.81645</pub-id>, <pub-id pub-id-type="pmid">36222651</pub-id></mixed-citation></ref>
<ref id="ref60"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Micheva</surname> <given-names>K. D.</given-names></name> <name><surname>Chang</surname> <given-names>E. F.</given-names></name> <name><surname>Nana</surname> <given-names>A. L.</given-names></name> <name><surname>Seeley</surname> <given-names>W. W.</given-names></name> <name><surname>Ting</surname> <given-names>J. T.</given-names></name> <name><surname>Cobbs</surname> <given-names>C.</given-names></name> <etal/></person-group>. (<year>2018</year>). <article-title>Distinctive structural and molecular features of myelinated inhibitory axons in human neocortex</article-title>. <source>eNeuro</source> <volume>5</volume>:<fpage>ENEURO.0297-18.2018</fpage>. doi: <pub-id pub-id-type="doi">10.1523/ENEURO.0297-18.2018</pub-id>, <pub-id pub-id-type="pmid">30406183</pub-id></mixed-citation></ref>
<ref id="ref61"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Molnar</surname> <given-names>G.</given-names></name> <name><surname>Olah</surname> <given-names>S.</given-names></name> <name><surname>Komlosi</surname> <given-names>G.</given-names></name> <name><surname>Fule</surname> <given-names>M.</given-names></name> <name><surname>Szabadics</surname> <given-names>J.</given-names></name> <name><surname>Varga</surname> <given-names>C.</given-names></name> <etal/></person-group>. (<year>2008</year>). <article-title>Complex events initiated by individual spikes in the human cerebral cortex</article-title>. <source>PLoS Biol.</source> <volume>6</volume>:<fpage>e222</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pbio.0060222</pub-id>, <pub-id pub-id-type="pmid">18767905</pub-id></mixed-citation></ref>
<ref id="ref62"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Molnar</surname> <given-names>G.</given-names></name> <name><surname>Rozsa</surname> <given-names>M.</given-names></name> <name><surname>Baka</surname> <given-names>J.</given-names></name> <name><surname>Holderith</surname> <given-names>N.</given-names></name> <name><surname>Barzo</surname> <given-names>P.</given-names></name> <name><surname>Nusser</surname> <given-names>Z.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Human pyramidal to interneuron synapses are mediated by multi-vesicular release and multiple docked vesicles</article-title>. <source>eLife</source> <volume>5</volume>:<fpage>e18167</fpage>. doi: <pub-id pub-id-type="doi">10.7554/eLife.18167</pub-id>, <pub-id pub-id-type="pmid">27536876</pub-id></mixed-citation></ref>
<ref id="ref63"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Morawski</surname> <given-names>M.</given-names></name> <name><surname>Bruckner</surname> <given-names>M. K.</given-names></name> <name><surname>Riederer</surname> <given-names>P.</given-names></name> <name><surname>Bruckner</surname> <given-names>G.</given-names></name> <name><surname>Arendt</surname> <given-names>T.</given-names></name></person-group> (<year>2004</year>). <article-title>Perineuronal nets potentially protect against oxidative stress</article-title>. <source>Exp. Neurol.</source> <volume>188</volume>, <fpage>309</fpage>&#x2013;<lpage>315</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.expneurol.2004.04.017</pub-id></mixed-citation></ref>
<ref id="ref64"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Morphett</surname> <given-names>J. C.</given-names></name> <name><surname>Whittaker</surname> <given-names>A. L.</given-names></name> <name><surname>Reichelt</surname> <given-names>A. C.</given-names></name> <name><surname>Hutchinson</surname> <given-names>M. R.</given-names></name></person-group> (<year>2024</year>). <article-title>Perineuronal net structure as a non-cellular mechanism contributing to affective state: a scoping review</article-title>. <source>Neurosci. Biobehav. Rev.</source> <volume>158</volume>:<fpage>105568</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neubiorev.2024.105568</pub-id></mixed-citation></ref>
<ref id="ref65"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mosharov</surname> <given-names>E. V.</given-names></name> <name><surname>Rosenberg</surname> <given-names>A. M.</given-names></name> <name><surname>Monzel</surname> <given-names>A. S.</given-names></name> <name><surname>Osto</surname> <given-names>C. A.</given-names></name> <name><surname>Stiles</surname> <given-names>L.</given-names></name> <name><surname>Rosoklija</surname> <given-names>G. B.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>A human brain map of mitochondrial respiratory capacity and diversity</article-title>. <source>Nature</source> <volume>641</volume>, <fpage>749</fpage>&#x2013;<lpage>758</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41586-025-08740-6</pub-id>, <pub-id pub-id-type="pmid">40140564</pub-id></mixed-citation></ref>
<ref id="ref66"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Muangkram</surname> <given-names>Y.</given-names></name> <name><surname>Himeno</surname> <given-names>Y.</given-names></name> <name><surname>Amano</surname> <given-names>A.</given-names></name></person-group> (<year>2023</year>). <article-title>Clarifying the composition of the ATP consumption factors required for maintaining ion homeostasis in mouse rod photoreceptors</article-title>. <source>Sci. Rep.</source> <volume>13</volume>:<fpage>14161</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-023-40663-y</pub-id>, <pub-id pub-id-type="pmid">37644037</pub-id></mixed-citation></ref>
<ref id="ref67"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Olah</surname> <given-names>G.</given-names></name> <name><surname>Lakovics</surname> <given-names>R.</given-names></name> <name><surname>Shapira</surname> <given-names>S.</given-names></name> <name><surname>Leibner</surname> <given-names>Y.</given-names></name> <name><surname>Szucs</surname> <given-names>A.</given-names></name> <name><surname>Csajbok</surname> <given-names>E. A.</given-names></name> <etal/></person-group>. (<year>2025</year>). <article-title>Accelerated signal propagation speed in human neocortical dendrites</article-title>. <source>eLife</source> <volume>13</volume>:<fpage>RP93781</fpage>. doi: <pub-id pub-id-type="doi">10.7554/eLife.93781</pub-id>, <pub-id pub-id-type="pmid">40272114</pub-id></mixed-citation></ref>
<ref id="ref68"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pakkenberg</surname> <given-names>B.</given-names></name> <name><surname>Gundersen</surname> <given-names>H. J.</given-names></name></person-group> (<year>1997</year>). <article-title>Neocortical neuron number in humans: effect of sex and age</article-title>. <source>J. Comp. Neurol.</source> <volume>384</volume>, <fpage>312</fpage>&#x2013;<lpage>320</lpage>.</mixed-citation></ref>
<ref id="ref69"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pontzer</surname> <given-names>H.</given-names></name> <name><surname>Brown</surname> <given-names>M. H.</given-names></name> <name><surname>Raichlen</surname> <given-names>D. A.</given-names></name> <name><surname>Dunsworth</surname> <given-names>H.</given-names></name> <name><surname>Hare</surname> <given-names>B.</given-names></name> <name><surname>Walker</surname> <given-names>K.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Metabolic acceleration and the evolution of human brain size and life history</article-title>. <source>Nature</source> <volume>533</volume>, <fpage>390</fpage>&#x2013;<lpage>392</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature17654</pub-id>, <pub-id pub-id-type="pmid">27144364</pub-id></mixed-citation></ref>
<ref id="ref70"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Povysheva</surname> <given-names>N. V.</given-names></name> <name><surname>Zaitsev</surname> <given-names>A. V.</given-names></name> <name><surname>Rotaru</surname> <given-names>D. C.</given-names></name> <name><surname>Gonzalez-Burgos</surname> <given-names>G.</given-names></name> <name><surname>Lewis</surname> <given-names>D. A.</given-names></name> <name><surname>Krimer</surname> <given-names>L. S.</given-names></name></person-group> (<year>2008</year>). <article-title>Parvalbumin-positive basket interneurons in monkey and rat prefrontal cortex</article-title>. <source>J. Neurophysiol.</source> <volume>100</volume>, <fpage>2348</fpage>&#x2013;<lpage>2360</lpage>. doi: <pub-id pub-id-type="doi">10.1152/jn.90396.2008</pub-id>, <pub-id pub-id-type="pmid">18632882</pub-id></mixed-citation></ref>
<ref id="ref71"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rebollo</surname> <given-names>B.</given-names></name> <name><surname>Abrahamyan</surname> <given-names>A.</given-names></name> <name><surname>Thomale</surname> <given-names>U. W.</given-names></name> <name><surname>Kaindl</surname> <given-names>A. M.</given-names></name> <name><surname>Herman</surname> <given-names>M. A.</given-names></name> <name><surname>Rosenmund</surname> <given-names>C.</given-names></name></person-group> (<year>2025</year>). <article-title>GABAergic synaptic components are largely preserved across human and mouse neuronal models</article-title>. <source>Front. Cell. Neurosci.</source> <volume>19</volume>:<fpage>1588894</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fncel.2025.1588894</pub-id>, <pub-id pub-id-type="pmid">40385978</pub-id></mixed-citation></ref>
<ref id="ref72"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Roth</surname> <given-names>F. C.</given-names></name> <name><surname>Hu</surname> <given-names>H.</given-names></name></person-group> (<year>2020</year>). <article-title>An axon-specific expression of HCN channels catalyzes fast action potential signaling in GABAergic interneurons</article-title>. <source>Nat. Commun.</source> <volume>11</volume>:<fpage>2248</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-020-15791-y</pub-id>, <pub-id pub-id-type="pmid">32382046</pub-id></mixed-citation></ref>
<ref id="ref73"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Santuy</surname> <given-names>A.</given-names></name> <name><surname>Turegano-Lopez</surname> <given-names>M.</given-names></name> <name><surname>Rodriguez</surname> <given-names>J. R.</given-names></name> <name><surname>Alonso-Nanclares</surname> <given-names>L.</given-names></name> <name><surname>DeFelipe</surname> <given-names>J.</given-names></name> <name><surname>Merchan-Perez</surname> <given-names>A.</given-names></name></person-group> (<year>2018</year>). <article-title>A quantitative study on the distribution of mitochondria in the neuropil of the juvenile rat somatosensory cortex</article-title>. <source>Cereb. Cortex</source> <volume>28</volume>, <fpage>3673</fpage>&#x2013;<lpage>3684</lpage>. doi: <pub-id pub-id-type="doi">10.1093/cercor/bhy159</pub-id>, <pub-id pub-id-type="pmid">30060007</pub-id></mixed-citation></ref>
<ref id="ref74"><mixed-citation publication-type="book"><person-group person-group-type="author"><name><surname>Soltesz</surname> <given-names>I.</given-names></name></person-group> (<year>2006</year>). <source>Diversity in the neuronal machine: Order and variability in interneuronal microcircuits</source>. <publisher-loc>Oxford; New York</publisher-loc>: <publisher-name>Oxford University Press</publisher-name>.</mixed-citation></ref>
<ref id="ref75"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stedehouder</surname> <given-names>J.</given-names></name> <name><surname>Brizee</surname> <given-names>D.</given-names></name> <name><surname>Slotman</surname> <given-names>J. A.</given-names></name> <name><surname>Pascual-Garcia</surname> <given-names>M.</given-names></name> <name><surname>Leyrer</surname> <given-names>M. L.</given-names></name> <name><surname>Bouwen</surname> <given-names>B. L.</given-names></name> <etal/></person-group>. (<year>2019</year>). <article-title>Local axonal morphology guides the topography of interneuron myelination in mouse and human neocortex</article-title>. <source>eLife</source> <volume>8</volume>. doi: <pub-id pub-id-type="doi">10.7554/eLife.48615</pub-id>, <pub-id pub-id-type="pmid">31742557</pub-id></mixed-citation></ref>
<ref id="ref76"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Stedehouder</surname> <given-names>J.</given-names></name> <name><surname>Couey</surname> <given-names>J. J.</given-names></name> <name><surname>Brizee</surname> <given-names>D.</given-names></name> <name><surname>Hosseini</surname> <given-names>B.</given-names></name> <name><surname>Slotman</surname> <given-names>J. A.</given-names></name> <name><surname>Dirven</surname> <given-names>C. M. F.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>Fast-spiking parvalbumin interneurons are frequently myelinated in the cerebral cortex of mice and humans</article-title>. <source>Cereb. Cortex</source> <volume>27</volume>, <fpage>5001</fpage>&#x2013;<lpage>5013</lpage>. doi: <pub-id pub-id-type="doi">10.1093/cercor/bhx203</pub-id>, <pub-id pub-id-type="pmid">28922832</pub-id></mixed-citation></ref>
<ref id="ref77"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Szegedi</surname> <given-names>V.</given-names></name> <name><surname>Bakos</surname> <given-names>E.</given-names></name> <name><surname>Furdan</surname> <given-names>S.</given-names></name> <name><surname>Kovacs</surname> <given-names>B. H.</given-names></name> <name><surname>Varga</surname> <given-names>D.</given-names></name> <name><surname>Erdelyi</surname> <given-names>M.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>HCN channels at the cell soma ensure the rapid electrical reactivity of fast-spiking interneurons in human neocortex</article-title>. <source>PLoS Biol.</source> <volume>21</volume>:<fpage>e3002001</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pbio.3002001</pub-id>, <pub-id pub-id-type="pmid">36745683</pub-id></mixed-citation></ref>
<ref id="ref78"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Szegedi</surname> <given-names>V.</given-names></name> <name><surname>Molnar</surname> <given-names>G.</given-names></name> <name><surname>Paizs</surname> <given-names>M.</given-names></name> <name><surname>Csakvari</surname> <given-names>E.</given-names></name> <name><surname>Barzo</surname> <given-names>P.</given-names></name> <name><surname>Tamas</surname> <given-names>G.</given-names></name> <etal/></person-group>. (<year>2017</year>). <article-title>High-precision fast-spiking basket cell discharges during complex events in the human neocortex</article-title>. <source>eNeuro</source> <volume>4</volume>:<fpage>ENEURO.0260-17</fpage>. doi: <pub-id pub-id-type="doi">10.1523/ENEURO.0260-17.2017</pub-id>, <pub-id pub-id-type="pmid">29034319</pub-id></mixed-citation></ref>
<ref id="ref79"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Szegedi</surname> <given-names>V.</given-names></name> <name><surname>Paizs</surname> <given-names>M.</given-names></name> <name><surname>Baka</surname> <given-names>J.</given-names></name> <name><surname>Barzo</surname> <given-names>P.</given-names></name> <name><surname>Molnar</surname> <given-names>G.</given-names></name> <name><surname>Tamas</surname> <given-names>G.</given-names></name> <etal/></person-group>. (<year>2020</year>). <article-title>Robust perisomatic GABAergic self-innervation inhibits basket cells in the human and mouse supragranular neocortex</article-title>. <source>eLife</source> <volume>9</volume>:<fpage>e51691</fpage>. doi: <pub-id pub-id-type="doi">10.7554/eLife.51691</pub-id>, <pub-id pub-id-type="pmid">31916939</pub-id></mixed-citation></ref>
<ref id="ref80"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Szegedi</surname> <given-names>V.</given-names></name> <name><surname>Paizs</surname> <given-names>M.</given-names></name> <name><surname>Csakvari</surname> <given-names>E.</given-names></name> <name><surname>Molnar</surname> <given-names>G.</given-names></name> <name><surname>Barzo</surname> <given-names>P.</given-names></name> <name><surname>Tamas</surname> <given-names>G.</given-names></name> <etal/></person-group>. (<year>2016</year>). <article-title>Plasticity in single axon glutamatergic connection to GABAergic interneurons regulates complex events in the human neocortex</article-title>. <source>PLoS Biol.</source> <volume>14</volume>:<fpage>e2000237</fpage>. doi: <pub-id pub-id-type="doi">10.1371/journal.pbio.2000237</pub-id>, <pub-id pub-id-type="pmid">27828957</pub-id></mixed-citation></ref>
<ref id="ref81"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tewari</surname> <given-names>B. P.</given-names></name> <name><surname>Chaunsali</surname> <given-names>L.</given-names></name> <name><surname>Campbell</surname> <given-names>S. L.</given-names></name> <name><surname>Patel</surname> <given-names>D. C.</given-names></name> <name><surname>Goode</surname> <given-names>A. E.</given-names></name> <name><surname>Sontheimer</surname> <given-names>H.</given-names></name></person-group> (<year>2018</year>). <article-title>Perineuronal nets decrease membrane capacitance of peritumoral fast spiking interneurons in a model of epilepsy</article-title>. <source>Nat. Commun.</source> <volume>9</volume>:<fpage>4724</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41467-018-07113-0</pub-id>, <pub-id pub-id-type="pmid">30413686</pub-id></mixed-citation></ref>
<ref id="ref82"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Traub</surname> <given-names>R. D.</given-names></name> <name><surname>Kopell</surname> <given-names>N.</given-names></name> <name><surname>Bibbig</surname> <given-names>A.</given-names></name> <name><surname>Buhl</surname> <given-names>E. H.</given-names></name> <name><surname>LeBeau</surname> <given-names>F. E.</given-names></name> <name><surname>Whittington</surname> <given-names>M. A.</given-names></name></person-group> (<year>2001</year>). <article-title>Gap junctions between interneuron dendrites can enhance synchrony of gamma oscillations in distributed networks</article-title>. <source>J. Neurosci.</source> <volume>21</volume>, <fpage>9478</fpage>&#x2013;<lpage>9486</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.21-23-09478.2001</pub-id>, <pub-id pub-id-type="pmid">11717382</pub-id></mixed-citation></ref>
<ref id="ref83"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tremblay</surname> <given-names>R.</given-names></name> <name><surname>Lee</surname> <given-names>S.</given-names></name> <name><surname>Rudy</surname> <given-names>B.</given-names></name></person-group> (<year>2016</year>). <article-title>GABAergic interneurons in the neocortex: from cellular properties to circuits</article-title>. <source>Neuron</source> <volume>91</volume>, <fpage>260</fpage>&#x2013;<lpage>292</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.neuron.2016.06.033</pub-id>, <pub-id pub-id-type="pmid">27477017</pub-id></mixed-citation></ref>
<ref id="ref84"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Veres</surname> <given-names>J. M.</given-names></name> <name><surname>Nagy</surname> <given-names>G. A.</given-names></name> <name><surname>Hajos</surname> <given-names>N.</given-names></name></person-group> (<year>2017</year>). <article-title>Perisomatic GABAergic synapses of basket cells effectively control principal neuron activity in amygdala networks</article-title>. <source>eLife</source> <volume>6</volume>:<fpage>e20721</fpage>. doi: <pub-id pub-id-type="doi">10.7554/eLife.20721</pub-id>, <pub-id pub-id-type="pmid">28060701</pub-id></mixed-citation></ref>
<ref id="ref85"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wang</surname> <given-names>X. J.</given-names></name> <name><surname>Buzsaki</surname> <given-names>G.</given-names></name></person-group> (<year>1996</year>). <article-title>Gamma oscillation by synaptic inhibition in a hippocampal interneuronal network model</article-title>. <source>J. Neurosci.</source> <volume>16</volume>, <fpage>6402</fpage>&#x2013;<lpage>6413</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.16-20-06402.1996</pub-id>, <pub-id pub-id-type="pmid">8815919</pub-id></mixed-citation></ref>
<ref id="ref86"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Westi</surname> <given-names>E. W.</given-names></name> <name><surname>Jakobsen</surname> <given-names>E.</given-names></name> <name><surname>Voss</surname> <given-names>C. M.</given-names></name> <name><surname>Bak</surname> <given-names>L. K.</given-names></name> <name><surname>Pinborg</surname> <given-names>L. H.</given-names></name> <name><surname>Aldana</surname> <given-names>B. I.</given-names></name> <etal/></person-group>. (<year>2022</year>). <article-title>Divergent cellular energetics, glutamate metabolism, and mitochondrial function between human and mouse cerebral cortex</article-title>. <source>Mol. Neurobiol.</source> <volume>59</volume>, <fpage>7495</fpage>&#x2013;<lpage>7512</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s12035-022-03053-5</pub-id>, <pub-id pub-id-type="pmid">36201140</pub-id></mixed-citation></ref>
<ref id="ref87"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wilbers</surname> <given-names>R.</given-names></name> <name><surname>Galakhova</surname> <given-names>A. A.</given-names></name> <name><surname>Driessens</surname> <given-names>S. L. W.</given-names></name> <name><surname>Heistek</surname> <given-names>T. S.</given-names></name> <name><surname>Metodieva</surname> <given-names>V. D.</given-names></name> <name><surname>Hagemann</surname> <given-names>J.</given-names></name> <etal/></person-group>. (<year>2023</year>). <article-title>Structural and functional specializations of human fast-spiking neurons support fast cortical signaling</article-title>. <source>Sci. Adv.</source> <volume>9</volume>:<fpage>eadf0708</fpage>. doi: <pub-id pub-id-type="doi">10.1126/sciadv.adf0708</pub-id>, <pub-id pub-id-type="pmid">37824618</pub-id></mixed-citation></ref>
<ref id="ref88"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Willmore</surname> <given-names>B. D.</given-names></name> <name><surname>Mazer</surname> <given-names>J. A.</given-names></name> <name><surname>Gallant</surname> <given-names>J. L.</given-names></name></person-group> (<year>2011</year>). <article-title>Sparse coding in striate and extrastriate visual cortex</article-title>. <source>J. Neurophysiol.</source> <volume>105</volume>, <fpage>2907</fpage>&#x2013;<lpage>2919</lpage>. doi: <pub-id pub-id-type="doi">10.1152/jn.00594.2010</pub-id>, <pub-id pub-id-type="pmid">21471391</pub-id></mixed-citation></ref>
<ref id="ref89"><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname> <given-names>N.</given-names></name> <name><surname>Song</surname> <given-names>B.</given-names></name> <name><surname>Bai</surname> <given-names>P.</given-names></name> <name><surname>Du</surname> <given-names>L.</given-names></name> <name><surname>Chen</surname> <given-names>L.</given-names></name> <name><surname>Xu</surname> <given-names>Y.</given-names></name> <etal/></person-group>. (<year>2024</year>). <article-title>Perineuronal nets' role in metabolism</article-title>. <source>Am. J. Physiol. Endocrinol. Metab.</source> <volume>327</volume>, <fpage>E411</fpage>&#x2013;<lpage>E421</lpage>. doi: <pub-id pub-id-type="doi">10.1152/ajpendo.00154.2024</pub-id>, <pub-id pub-id-type="pmid">39140971</pub-id></mixed-citation></ref>
</ref-list>
<fn-group>
<fn fn-type="custom" custom-type="edited-by" id="fn0001">
<p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/4921/overview">Dmitri A. Rusakov, University College London</ext-link>, United Kingdom</p>
</fn>
<fn fn-type="custom" custom-type="reviewed-by" id="fn0002">
<p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/197539/overview">Stefano Masoli, University of Pavia</ext-link>, Italy</p>
<p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/212476/overview">Maximiliano Jose Nigro, Norwegian University of Science and Technology</ext-link>, Norway</p>
</fn>
</fn-group>
</back>
</article>