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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Neurosci.</journal-id>
<journal-title>Frontiers in Neuroscience</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Neurosci.</abbrev-journal-title>
<issn pub-type="epub">1662-453X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fnins.2024.1464336</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Neuroscience</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Paired nerve stimulation with selective compensation effect</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Leukhin</surname> <given-names>Alexey</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>&#x0002A;</sup></xref>
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<contrib contrib-type="author">
<name><surname>Mikhailova</surname> <given-names>Yuliya</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="http://loop.frontiersin.org/people/2216783/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Masaev</surname> <given-names>Dinar</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author">
<name><surname>Belov</surname> <given-names>Grigorii</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
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<contrib contrib-type="author">
<name><surname>Toschev</surname> <given-names>Alexander</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="http://loop.frontiersin.org/people/2241858/overview"/>
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</contrib>
<contrib contrib-type="author">
<name><surname>Fatykhova</surname> <given-names>Elsa</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/983304/overview"/>
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<contrib contrib-type="author">
<name><surname>Vallverd&#x000FA;</surname> <given-names>Jordi</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/724229/overview"/>
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<contrib contrib-type="author">
<name><surname>Talanov</surname> <given-names>Max</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
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</contrib-group>
<aff id="aff1"><sup>1</sup><institution>B-Rain Labs LLC</institution>, <addr-line>Kazan</addr-line>, <country>Russia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Institute of Information Technologies and Intelligent Systems (ITIS), Kazan Federal University (KFU)</institution>, <addr-line>Kazan</addr-line>, <country>Russia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Graz University of Technology</institution>, <addr-line>Graz</addr-line>, <country>Austria</country></aff>
<aff id="aff4"><sup>4</sup><institution>Children&#x00027;s Republican Clinical Hospital of the Ministry of Health of the Republic of Tatarstan</institution>, <addr-line>Kazan</addr-line>, <country>Russia</country></aff>
<aff id="aff5"><sup>5</sup><institution>Catalan Institution for Research and Advanced Studies (ICREA) Academia, Universitat Aut&#x000F2;noma de Barcelona</institution>, <addr-line>Bellaterra</addr-line>, <country>Spain</country></aff>
<aff id="aff6"><sup>6</sup><institution>The Institute for Artificial Intelligence R&#x00026;D</institution>, <addr-line>Novi Sad</addr-line>, <country>Serbia</country></aff>
<aff id="aff7"><sup>7</sup><institution>Department of Engineering, University of Messina</institution>, <addr-line>Messina</addr-line>, <country>Italy</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Alberto Mazzoni, Sant&#x00027;Anna School of Advanced Studies, Italy</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mark H. Myers, University of Tennessee Health Science Center (UTHSC), United States</p>
<p>Keying Chen, Sunnybrook Research Institute (SRI), Canada</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Alexey Leukhin <email>alexey.panzer&#x00040;gmail.com</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>24</day>
<month>12</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>18</volume>
<elocation-id>1464336</elocation-id>
<history>
<date date-type="received">
<day>13</day>
<month>07</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>05</day>
<month>12</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2024 Leukhin, Mikhailova, Masaev, Belov, Toschev, Fatykhova, Vallverd&#x000FA; and Talanov.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Leukhin, Mikhailova, Masaev, Belov, Toschev, Fatykhova, Vallverd&#x000FA; and Talanov</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>In this study we investigate the selective compensation of paired peripheral nerves in healthy humans, focusing on distinct axonal conduction velocities in different fibre types. Using paired associative stimulation (PAS) with adjustable parameters, we aimed to modulate and compensate for neuronal activity along the median nerve.</p></sec>
<sec>
<title>Methods</title>
<p>Six healthy volunteers (3 male, 3 female, aged: 22&#x02013;49) participated in the current study. We conducted 30 experiments with the following protocol. A pair of pulses with the following parameters were applied to each volunteer: amplitude, pulse width and inter-pulse delay was generated by the dual-core programmed microcontroller STM32H745xI/G while values were set by one-board computer Jetson Nano. The microcontroller provided a pair of pulses to the DAC that applied it to nerve stimulation sites via a stimulator. During experiments, we used the following ranges: (a) current amplitudes [0&#x02013;20mA], (b) pulse width [250&#x02013;500 &#x003BC;s] and (c) delays [50&#x02013;250 &#x003BC;s]. As the measurement of the stimulation effectiveness, we used the finger&#x00027;s contraction angles.</p></sec>
<sec>
<title>Results</title>
<p>Our findings reveal a significant selective compensation (inhibitory) effect over the motor responses, demonstrated through variations in finger displacement angles. By optimizing individual parameters-pulse width, inter-pulse delay, and compensatory currents&#x02014;we successfully induced motor response compensation effects. Notably, consistent compensatory effects were observed across all volunteers using a pulse width of (250 &#x003BC;s) and an inter-pulse delay of (50 &#x003BC;s).</p></sec>
<sec>
<title>Discussion</title>
<p>These results highlight PAS&#x00027;s potential for developing non-invasive neuromodulation devices. However, further research is required to evaluate its efficacy in individuals with spasticity and upper motor neuron deficits.</p></sec></abstract>
<kwd-group>
<kwd>selective inhibition</kwd>
<kwd>stimulation</kwd>
<kwd>paired associative stimulation (PAS)</kwd>
<kwd>compensation effect</kwd>
<kwd>rehabilitation</kwd>
</kwd-group>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="18"/>
<page-count count="11"/>
<word-count count="5523"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Neural Technology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>1 Introduction</title>
<p>Pair Associative Stimulation (PAS) is an innovative approach in neuromodulation that can induce plasticity in the brain through the simultaneous or sequential application of two types of stimulation: peripheral (Ozturk et al., <xref ref-type="bibr" rid="B12">2023</xref>) and central (Chalah et al., <xref ref-type="bibr" rid="B4">2015</xref>). This method has shown significant potential in improving functional connectivity between the cerebellum and the brain, which is important for rehabilitation after stroke and enhancement of motor skills. Considering its ability to modulate neural pathways and enhance motor functions, PAS may have potential applications in addressing neurological disorders that involve motor impairments, such as spasticity. Spasticity is a neurological disorder characterized by a velocity-dependent increase in tonic stretch reflexes with exaggerated tendon reflexes, manifesting as a symptom of upper motor neuron syndrome (Biering-S&#x000F8;rensen et al., <xref ref-type="bibr" rid="B3">2006</xref>). Among the myriad treatment methods, neurosurgical interventions play a pivotal role when conservative methods fail to provide sufficient effect. Currently, there is a vast array of various invasive approaches in treatment, enhancing the efficacy of spasticity therapy (Ayuzawa et al., <xref ref-type="bibr" rid="B2">2014</xref>). However, non-invasive techniques such as PAS and Peripheral Nerve Stimulation (PNS) are gaining attention for their potential to modulate neural pathways without surgical intervention.</p>
<p>The primary mechanisms of Peripheral Nerve Stimulation (PNS) in spasticity treatment include activating large-diameter afferent fibers, which can modulate spinal cord excitability through several pathways (Wilson et al., <xref ref-type="bibr" rid="B18">2014</xref>). One such pathway is the enhancement of presynaptic inhibition using gamma-aminobutyric acid (GABA) to reduce spasticity. Among the various modalities of PNS, Transcutaneous Electrical Nerve Stimulation (tENS) has been extensively studied for its efficacy in treating spasticity (Mills and Dossa, <xref ref-type="bibr" rid="B9">2016</xref>). tENS delivers electrical stimulation through the skin, making it a non-invasive and accessible form of PNS.</p>
<p>The application of PNS in clinical settings, including tENS, has shown promising results in reducing spasticity among various patient groups (Smania et al., <xref ref-type="bibr" rid="B13">2010</xref>). tENS, in particular, is attractive for its ease of use, minimal side effects, and potential to complement or replace more invasive treatment methods.</p>
<p>Studies indicate that repetitive magnetic stimulation could also modulate spinal cord functions, although only a few studies have documented the spasticity-reducing effects induced by this method (Nardone et al., <xref ref-type="bibr" rid="B11">2015</xref>). Moreover, paired peripheral and transcranial stimulation can be used to target the spinal cord and may have the potential for neuromodulation in spinal cord-injured subjects (Kumru et al., <xref ref-type="bibr" rid="B8">2017</xref>). Patients have reported overall improvement and muscle-relaxing effects on affected limbs during stimulation, suggesting a need for further research to determine the effectiveness of this approach.</p>
<p>Although there are not enough studies to completely describe the PAS effect on spinal cord injury (SCI) patients, long-term use of PAS has been found to significantly boost motor functions, with enhancements being more pronounced on the PAS-treated side (Versace et al., <xref ref-type="bibr" rid="B17">2018</xref>). PAS is targeted to stimulate and maintain neuroplasticity to recover axonal connections and strengthen synaptic connections. These observations correlate with clinical improvements, especially significant a month after the start of the intervention, confirming the long-term positive effect of PAS on recovery after SCI (Vanhanen et al., <xref ref-type="bibr" rid="B16">2022</xref>).</p>
<p>Ongoing research is focused on determining the optimal stimulation parameters, including pulse width and inter-pulse delay, to enhance the therapeutic benefits of PAS in spasticity treatment. There is growing interest in the combined effects of PAS and other treatment methods, such as pharmacological interventions and botulinum toxin injections, for a comprehensive approach to spasticity management (Hok et al., <xref ref-type="bibr" rid="B7">2021</xref>).</p>
<p>This is particularly relevant given the significant challenges posed by spasticity, a prevalent symptom of upper motor neuron syndrome. Its debilitating impact on motor function and quality of life underscores the need for advanced, integrated therapeutic approaches (Trompetto et al., <xref ref-type="bibr" rid="B15">2014</xref>). Despite the availability of various treatment modalities, achieving effective long-term management of spasticity remains a critical unmet need in clinical practice (Morone et al., <xref ref-type="bibr" rid="B10">2023</xref>). Advances in PAS and its combination with other modalities offer a promising path forward, addressing these challenges through innovative and individualized therapeutic strategies.</p>
<p>In response to this challenge, innovative neuromodulation techniques such as PAS have emerged as promising avenues for inducing neuroplasticity and improving motor outcomes in individuals with neurological disorders. By concurrently stimulating peripheral and central nervous system components, PAS offers a unique approach to enhancing functional connectivity and facilitating motor recovery (Hartwigsen and Volz, <xref ref-type="bibr" rid="B6">2021</xref>). In addition to spasticity management, our study extends the application of PAS technology to the development of a selective neuronal activity compensation device. This device utilizes PAS with adjustable parameters, including amplitude, pulse width, and inter-pulse delays, to trigger compensatory neural activity in targeted motor pathways.</p>
<p>In the subsequent sections of this paper, we will explore the methodology employed in our study, present our empirical findings in detail, discuss the implications of our results for clinical practice and future research directions, and conclude with a reflection on the broader significance of PAS in the field of neurological rehabilitation.</p></sec>
<sec id="s2">
<title>2 Subjects and methods</title>
<sec>
<title>2.1 The system architecture</title>
<p>In this work, we propose an approach focused on the precise PAS to trigger and later compensate for the distributed neuronal activity along the nerve. The median nerve consists of several axons and dendrites with different (individual) parameters: size, resistance (R), capacitance (C), myelination, and conductance of sodium and potassium channels (<xref ref-type="fig" rid="F1">Figure 1A</xref>; Ahmed et al., <xref ref-type="bibr" rid="B1">2022</xref>). The transcutaneous electrical stimulation current triggers the neuronal activity in fibers and it is influenced by: the value of a stimulation current, fiber depth, myelination and threshold value etc (Talanov et al., <xref ref-type="bibr" rid="B14">2021</xref>). After the stimulation with pulse 1 depicted in <xref ref-type="fig" rid="F1">Figure 1C</xref> near an elbow (<xref ref-type="fig" rid="F1">Figure 1B</xref> site E), the triggered neuronal activity distributes along the fibers of a medial nerve with different speeds identified by capacitance, resistance, sodium and potassium channels density, threshold voltage and myelination of each particular fiber (<xref ref-type="fig" rid="F1">Figure 1A</xref>), thus triggered spikes in site E (<xref ref-type="fig" rid="F1">Figure 1B</xref>) reach the wrist site (W) at different specific moments. Knowing the precise moments of the spikes&#x00027; arrival we can compensate for the subthreshold fiber membrane potentials with a compensatory pulse (<xref ref-type="fig" rid="F1">Figure 1C</xref>2) to prevent the fiber from further distributing the neuronal activity. Simplified example: fibers 1, 2, 3 have individual resistance R1, R2, and R3 (<xref ref-type="fig" rid="F1">Figure 1A</xref>) where <italic>R</italic>1 &#x0003C; <italic>R</italic>2 &#x0003C; <italic>R</italic>3, thus neuronal activity distribution delays are <italic>d</italic>1 &#x0003C; <italic>d</italic>2 &#x0003C; <italic>d</italic>3; generating compensatory pulses at moments d1 and d3 we could filter the distribution of the neuronal activity along fibers 1 and 3 letting spikes pass through fiber 2.</p>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>The high-level diagram of the selective compensation device. <bold>(A)</bold> The schematic picture of a median nerve with only three fibers is shown with different parameters: width, R, C, and number of Na/K channels. <bold>(B)</bold> The stimulation site Elbow (E) triggers a neuronal activity distribution along with the fiber and the reading and compensation Wrist (W) site is used to read the neuronal activity triggered by the stimulation to detect the delay between stimulation pulses and distributed neuronal activity and later compensation of triggered activity. <bold>(C)</bold> Triggering (1) applied to site E and compensation (2) applied to site W pulses. <bold>(D)</bold> The stimulation device architecture.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnins-18-1464336-g0001.tif"/>
</fig>
<p>A pair of pulses with the following parameters: amplitude, pulse width and inter-pulse delay (<xref ref-type="fig" rid="F1">Figure 1C</xref>) was generated by the dual-core programmed microcontroller STM32H745xI/G while values were set by one-board computer Jetson Nano. The microcontroller provided a pair of pulses to the DAC that applied it to nerve stimulation sites (E, W) via stimulator (<xref ref-type="fig" rid="F1">Figure 1D</xref>). During experiments, we used the following ranges: (a) current amplitudes [0&#x02013;20 mA], (b) pulse width [250&#x02013;500 &#x003BC;s] and (c) delays [50&#x02013;250 &#x003BC;s]. As the measurement of the stimulation effectiveness, we used the finger&#x00027;s contraction angles.</p></sec>
<sec>
<title>2.2 Assumptions</title>
<p>In the current work, we used the following assumptions:</p>
<list list-type="order">
<list-item><p><bold>Assumption 1</bold>: Our approach involves using two stimulation sites (<xref ref-type="fig" rid="F1">Figure 1B</xref>) on the median nerve: the elbow (E) and the wrist (W), both connected to a single stimulator managed by a microcontroller and a one-board computer. When a stimulation pulse is applied to site E, it triggers neuronal activity that propagates along the nerve fibers toward site W. By carefully setting the pulse width and delay parameters, we can apply a compensatory pulse at site W precisely timed to compensate the neuronal activity initiated at site E. This setup aims to inhibit or compensate for the neuronal activity at site W, effectively filtering out specific nerve signals based on their propagation characteristics.</p></list-item>
<list-item><p><bold>Assumption 2</bold>: the setup step of delay (50 &#x003BC;s) and pulse width (250 &#x003BC;s) is small enough to match the individual parameters of neuronal activity propagation along the medial nerve of each volunteer (<xref ref-type="fig" rid="F1">Figure 1C</xref>).</p></list-item>
<list-item><p><bold>Assumption 3</bold>: the temporal parameters of the stimulation, including the pulse width and inter-pulse delay, are precise enough to selectively activate a specific fiber within the median nerve of a particular research participant.</p></list-item>
</list>
<p>The hypothesis we checked: <italic>we should observe the compensatory effect of the triggering pulses (E) via compensatory pulses (W) with individual per volunteer setup of pulse width and inter-pulse delay parameters</italic>.</p></sec>
<sec>
<title>2.3 Validation</title>
<list list-type="order">
<list-item><p>We have validated the two sites paired synchroniaed stimulation and demonstrated a compensatory effect with all volunteers with individual pairs of parameters: pulse width and inter-pulse delay (see Section 3).</p></list-item>
<list-item><p>During our experiments we demonstrated that we could trigger a compensatory effect in every volunteer with the pair of steps inter-pulse delay (50 &#x003BC;s) and pulse width (250 &#x003BC;s) (see Section 3).</p></list-item>
<list-item><p>We failed to trigger specific sensations in a particular research participant&#x00027;s medial nerve and demonstrated only the nerve stimulation&#x00027;s overall inhibitory/compensatory effect.</p></list-item>
</list></sec>
<sec>
<title>2.4 Research involving humans and animals statement</title>
<p>Six healthy volunteers participated (three male, three female, age: 22&#x02013;49) in the current study.</p></sec>
<sec>
<title>2.5 Informed consent</title>
<p>All participants gave informed written consent to participate in the study, in accordance with the Declaration of Helsinki, and were introduced to the study protocol.</p></sec></sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<p>We studied the inhibitory effect produced by the paired synchronized stimulation median nerve in elbow and wrist sites. Firstly we recorded the angle of the finger displacement with no stimulation, then we stimulated the elbow site (E) (<xref ref-type="fig" rid="F1">Figure 1B</xref>) until we could register visible motor response initiation and recorded the angle. Later we stimulated the wrist site (W) with variable delays in the range described above. We observed two variations of the paired stimulation effect: (1) <italic>compensation</italic> finger displacement angle decreased and (2) <italic>summation</italic> finger displacement angle increased.</p>
<p>We conducted 30 experiments per volunteer and recorded changes in voluntary muscle contraction angles during the stimulation experiment for this we recorded the following angles: (1) no stimulation angle, (2) elbow stimulation angle, and (3) wrist stimulation angle and calculated &#x00394;<italic>angle</italic> &#x0003D; (<italic>ESA</italic>&#x02212;<italic>NSA</italic>)&#x02212;(<italic>WSA</italic>&#x02212;<italic>NSA</italic>); where <italic>ESA</italic> stands for the angle of muscle contraction with only elbow stimulation, <italic>WSA</italic> &#x02013; wrist stimulation angle of muscle contraction, <italic>NSA</italic> &#x02013; no stimulation angle (baseline). Later we selected experiments with significant compensatory effects.</p>
<p>The distribution of angles <italic>ESA, WSA</italic> with regards to pulse width and delays are shown in <xref ref-type="fig" rid="F2">Figure 2</xref> for females and males together, in <xref ref-type="fig" rid="F3">Figure 3</xref> for females only and in <xref ref-type="fig" rid="F4">Figure 4</xref> for males where (a, d) is the elbow stimulation angle when we can register the motor response initiation, (b, e) the finger displacement angle for both wrist and elbow stimulation with compensatory effect registered, (c, f) the difference between stimulation only elbow and stimulation at both sites; (a&#x02013;c) according to a pulse width, (d&#x02013;f) according to a delay.</p>
<fig id="F2" position="float">
<label>Figure 2</label>
<caption><p>Box-plot of selective compensation effect measured as finger displacement angles for both females and males. The solid line is the mean and circles represent outliers. <bold>(A)</bold> Angles for the range of pulse width in &#x003BC;s of the elbow stimulation. <bold>(B)</bold> Displacement angles for the range of pulse width in &#x003BC;s of the elbow and wrist stimulation. <bold>(C)</bold> &#x00394; between angles before and after compensatory current application to wrist site for the range of pulse width in &#x003BC;s. <bold>(D)</bold> Angles for the range of delays in &#x003BC;s of the elbow stimulation. <bold>(E)</bold> Displacement angles for the range of delays in &#x003BC;s of the elbow and wrist stimulation. <bold>(F)</bold> &#x00394; between angles before and after compensatory current application to wrist site for the range of delays in &#x003BC;s.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnins-18-1464336-g0002.tif"/>
</fig>

<fig id="F3" position="float">
<label>Figure 3</label>
<caption><p>Box-plot of selective compensation effect measured as finger displacement angles for females only. The solid line is the mean and circles represent outliers. <bold>(A)</bold> Angles for the range of pulse width in &#x003BC;s of the elbow stimulation. <bold>(B)</bold> Displacement angles for the range of pulse width in &#x003BC;s of the elbow and wrist stimulation. <bold>(C)</bold> &#x00394; between angles before and after compensatory current application to wrist site for the range of pulse width in &#x003BC;s. <bold>(D)</bold> Angles for the range of delays of the elbow stimulation. <bold>(E)</bold> Displacement angles for the range of delays of the elbow and wrist stimulation. <bold>(F)</bold> &#x00394; between angles before and after compensatory current application to wrist site for the range of delays.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnins-18-1464336-g0003.tif"/>
</fig>

<fig id="F4" position="float">
<label>Figure 4</label>
<caption><p>Box-plot of selective compensation effect measured as finger displacement angles for males only. <bold>(A)</bold> Angles for the range of pulse width in &#x003BC;s of the elbow stimulation. <bold>(B)</bold> Displacement angles for the range of pulse width in &#x003BC;s of the elbow and wrist stimulation. <bold>(C)</bold> &#x00394; between angles before and after compensatory current application to wrist site for the range of pulse width in &#x003BC;s. <bold>(D)</bold> Angles for the range of delays of the elbow stimulation. <bold>(E)</bold> Displacement angles for the range of delays of the elbow and wrist stimulation. <bold>(F)</bold> &#x00394; between angles before and after compensatory current application to wrist site for the range of delays.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnins-18-1464336-g0004.tif"/>
</fig>
<p>The stimulation current varied from 2.5 mA to 17.5 mA and its distribution shown in <xref ref-type="fig" rid="F5">Figure 5</xref> (a&#x02013;d) total distribution, (e&#x02013;h) distribution for females and (i&#x02013;l) for males, (a, e, i, c, g, k) for elbow site, (b, f, j, d, h, l) for wrist site, (a, e, i, b, f, j) according to pulse width, (c, g, k, d, h, j) according to delay. The minimal current was registered for the paired stimulation compensatory effect with pulse width 400 &#x003BC;s in total and the same value for males as for females it was 350 &#x003BC;s and 450 &#x003BC;s.</p>
<fig id="F5" position="float">
<label>Figure 5</label>
<caption><p>Box-plot of stimulation currents of the elbow and wrist for the selective compensation effect. The solid line is the mean and circles represent outliers. <bold>(A, E, I)</bold> The minimal elbow stimulation current for motor response in mA with the range of pulse widths in &#x003BC;s overall, females, and males. <bold>(B, F, J)</bold> The minimal current that elicits a compensation effect for wrist stimulation in mA with the range of pulse width in &#x003BC;s. <bold>(C, G, K)</bold> Selective compensation effect currents in mA applied to elbow with the range of delays in &#x003BC;s. <bold>(D, H, L)</bold> Selective compensation effect currents applied to wrist with the range of delays between stimulations in &#x003BC;s.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnins-18-1464336-g0005.tif"/>
</fig>
<p>In total and for females the elbow stimulation angle varied from 5&#x000B0; to 75&#x000B0; (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>). For males the elbow stimulation angle varied from 25&#x000B0; to 45&#x000B0; (<xref ref-type="fig" rid="F4">Figure 4</xref>). The angle with compensation stimulation varied from 0&#x000B0; to 15&#x000B0; (<xref ref-type="fig" rid="F2">Figure 2</xref>). For females the compensated angle varied from 0&#x000B0; to 15&#x000B0; (<xref ref-type="fig" rid="F3">Figure 3</xref>). For males the compensated angle varied from 0&#x000B0; to 30&#x000B0; (<xref ref-type="fig" rid="F4">Figure 4</xref>). We registered the highest finger displacement angle with pulse width 250 &#x003BC;s, delays 50 &#x003BC;s and 200 &#x003BC;s. The finger displacement angle for elbow stimulation of females had a higher variance than for males (<xref ref-type="fig" rid="F3">Figures 3</xref>, <xref ref-type="fig" rid="F4">4</xref>). In total and for females the most effect of compensation was on 250 &#x003BC;s and 350 &#x003BC;s pulse width with no significant dependency on delay (<xref ref-type="fig" rid="F2">Figures 2</xref>, <xref ref-type="fig" rid="F3">3</xref>). For males the most effect of compensation was on 250 &#x003BC;s and 350 &#x003BC;s pulse width and on 150 &#x003BC;s delay (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<p>On average, the compensatory effect for males was higher than for females. It is represented in &#x00394; between angles before and after compensatory current application, for males median &#x00394; 25 &#x000B1; 5&#x000B0; while for females 15 &#x000B1; 10&#x000B0;.</p>
<p>For further details about &#x00394; between angles before and after the application of compensatory current to the wrist site for different pulse width and delay conditions refer to <xref ref-type="table" rid="T1">Table 1</xref>. N/A indicates no compensatory effect for specific volunteer on specific pulse width and delay.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>&#x00394; between angles before and after the application of compensatory current to the wrist site for different pulse width and delay conditions.</p></caption>
<table frame="box" rules="all">
<thead>
<tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Pulse width, &#x003BC;s</bold></th>
<th valign="top" align="center"><bold>Delay, &#x003BC;s</bold></th>
<th valign="top" align="center"><bold>Volunteer 1</bold></th>
<th valign="top" align="center"><bold>Volunteer 2</bold></th>
<th valign="top" align="center"><bold>Volunteer 3</bold></th>
<th valign="top" align="center"><bold>Volunteer 4</bold></th>
<th valign="top" align="center"><bold>Volunteer 5</bold></th>
<th valign="top" align="center"><bold>Volunteer 6</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left">250</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">51.2&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">19.5&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">250</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">43.9&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">58.5&#x000B0;</td>
<td valign="top" align="center">7.3&#x000B0;</td>
<td valign="top" align="center">2.4&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">250</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">250</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">14.6&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">250</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">51.2&#x000B0;</td>
<td valign="top" align="center">2.4&#x000B0;</td>
<td valign="top" align="center">14.6&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">300</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">20.7&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">4.9&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">300</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">4.9&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">300</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">4.9&#x000B0;</td>
<td valign="top" align="center">19.5&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">300</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">2.4&#x000B0;</td>
<td valign="top" align="center">19.5&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">300</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">63.4&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">15.9&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">350</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">350</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">26.8&#x000B0;</td>
<td valign="top" align="center">34.1&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">1.2&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">350</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">29.3&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">36.6&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">350</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">34.1&#x000B0;</td>
<td valign="top" align="center">31.7&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">2.4&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">350</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">29.3&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">2.4&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">400</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">26.8&#x000B0;</td>
<td valign="top" align="center">2.4&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">400</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">7.8&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">2.4&#x000B0;</td>
<td valign="top" align="center">12.2&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">400</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">38.5&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">17.1&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">400</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">20.2&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">400</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">20.7&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">19.5&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">450</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">12.2&#x000B0;</td>
<td valign="top" align="center">2.4&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">450</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">29.3&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">450</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">450</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">21.9&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">58.5&#x000B0;</td>
<td valign="top" align="center">4.9&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">450</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">29.3&#x000B0;</td>
<td valign="top" align="center">19.5&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">2.4&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">500</td>
<td valign="top" align="center">50</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">29.3&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">4.9&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
</tr> <tr>
<td valign="top" align="left">500</td>
<td valign="top" align="center">100</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">53.7&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">22.0&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">500</td>
<td valign="top" align="center">150</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">12.2&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">500</td>
<td valign="top" align="center">200</td>
<td valign="top" align="center">31.7&#x000B0;</td>
<td valign="top" align="center">21.9&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">12.2&#x000B0;</td>
</tr> <tr>
<td valign="top" align="left">500</td>
<td valign="top" align="center">250</td>
<td valign="top" align="center">34.6&#x000B0;</td>
<td valign="top" align="center">21.9&#x000B0;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">&#x02014;</td>
<td valign="top" align="center">13.4&#x000B0;</td>
</tr></tbody>
</table>
<table-wrap-foot>
<p>Volunteers 1&#x02013;3 are male participants, and Volunteers 4&#x02013;6 are female participants. Dash sign (&#x0201C;&#x02014;&#x0201D;) indicates no compensatory effect observed for the corresponding pulse width and delay condition.</p>
</table-wrap-foot>
</table-wrap>
<p>The registered subjective discomfort rate is shown in <xref ref-type="fig" rid="F6">Figure 6</xref> (a, d) total distribution, (b, e) female distribution, and (c, f) male distribution regarding pulse width (a&#x02013;c) and delay (d&#x02013;f). The discomfort rate was measured subjectively in the range from 1 to 10 where 10 was the highest discomfort. We noted that male discomfort rate distribution had less variance than females. The minimum discomfort rate for males was with stimulation pulse width 400 &#x003BC;s, delay 250 &#x003BC;s, for females minimum was registered with stimulation pulse width 450 &#x003BC;s, delay 50 &#x003BC;s.</p>
<fig id="F6" position="float">
<label>Figure 6</label>
<caption><p>Subjective discomfort rate due to the stimulation measured in the range [1&#x02026;10]. <bold>(A)</bold> Discomfort rate measured for both females and males for the range of pulse width in &#x003BC;s. <bold>(B)</bold> Female discomfort rate for the pulse width range. <bold>(C)</bold> Male discomfort rate for the pulse width range. <bold>(D)</bold> Discomfort rate for both females and males for the range of delays in &#x003BC;s. <bold>(E)</bold> Female discomfort rate in the range of delays. <bold>(F)</bold> Male discomfort rate in the range of delays.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fnins-18-1464336-g0006.tif"/>
</fig>

</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>The present study demonstrates the potential for selective compensation of motor nerve fibers through conduction velocity-dependent filtering by applying paired median nerve stimulation in healthy volunteers. The subject cohort comprised six participants (three male, three female) aged 22&#x02013;49 years. A total of 30 experiments per volunteer were conducted, and the effect was quantified by the change in voluntary contraction angle. As a result, we successfully achieved a compensatory effect in 100% of the volunteers, adjusting for individual delays and pulse widths.</p>
<p>The results provide preliminary evidence that mixed peripheral nerves may be effectively neuromodulated in a fiber-specific manner based on axonal conduction velocities. The proposed multi-focal paired stimulation paradigm offers a novel non-invasive approach for targeting particular motor axons. These findings highlight the prospects of peripheral nerves as conduits for precisely timed, distributed bio-electronic therapies. However, the small sample size limits the generalizability of these findings, and future studies with larger, more diverse populations are necessary to validate these results across clinical contexts (Versace et al., <xref ref-type="bibr" rid="B17">2018</xref>).</p>
<p>The integration of medicine, engineering, and cognitive philosophy through the development and application of PAS holds significant social and clinical implications. The research presented in this paper not only advances scientific understanding but also offers tangible benefits that can reshape healthcare delivery, improve patient outcomes, and contribute to societal wellbeing. One of the most immediate social impacts of this research is the potential improvement in the quality of life for individuals suffering from neurological disorders, particularly those with spasticity and spinal cord injuries. By offering a non-invasive, effective method for managing spasticity and promoting motor recovery, PAS can alleviate the physical and psychological burdens associated with these conditions. Patients can experience greater independence and a reduction in pain and discomfort, leading to enhanced overall wellbeing and a more active, fulfilling life (Trompetto et al., <xref ref-type="bibr" rid="B15">2014</xref>).</p>
<p>Despite the promise of PAS, its potential applications should be compared against standard treatments for spasticity, such as botulinum toxin injections and neurosurgical interventions, to better understand its relative efficacy, cost-effectiveness, and safety. While PAS is highlighted as non-invasive and cost-efficient, a detailed comparative analysis would help solidify its clinical positioning (Morone et al., <xref ref-type="bibr" rid="B10">2023</xref>). Moreover, addressing the discomfort experienced by participants during stimulation, as observed in the current study, will be crucial for enhancing patient compliance and broadening clinical adoption (Vanhanen et al., <xref ref-type="bibr" rid="B16">2022</xref>).</p>
<p>The implementation of PAS as a therapeutic intervention also has the potential to reduce long-term healthcare costs. Traditional treatments for spasticity often involve expensive and invasive procedures, prolonged hospital stays, and continuous use of medication (Biering-S&#x000F8;rensen et al., <xref ref-type="bibr" rid="B3">2006</xref>). PAS, with its non-invasive nature and effectiveness, can decrease the need for such extensive medical interventions. This reduction in healthcare resource utilization can lead to significant cost savings for both healthcare providers and patients, making high-quality care more accessible and sustainable.</p>
<p>The development of wearable stimulaters and programmable pulse generators as part of PAS technology represents a significant step toward personalized medicine. These advancements allow for treatment plans tailored to the specific needs of each patient, optimizing therapeutic outcomes. Personalized medicine not only enhances the efficacy of treatments but also empowers patients by involving them more directly in their care. Patients can manage and adjust their therapy parameters, leading to a greater sense of control and engagement in their health management (Guidali et al., <xref ref-type="bibr" rid="B5">2021</xref>).</p>
<p>Further, improvements in the treatment of neurological disorders can have positive economic implications. As patients experience better recovery outcomes, they are more likely to return to work and contribute to the economy. This can alleviate some of the financial strain associated with disability and long-term care. Additionally, the development and deployment of PAS technology can create new job opportunities in the fields of biomedical engineering, healthcare, and rehabilitation services (Smania et al., <xref ref-type="bibr" rid="B13">2010</xref>).</p>
<p>The integration of cognitive philosophy in PAS research brings to light important ethical and philosophical considerations. The ability to generate artificial sensations, such as temperature and weight perception, raises questions about the nature of human experience and the potential for enhancing or altering sensory perception. Ethical considerations, including patient autonomy, informed consent, and safeguards against misuse, must be addressed to ensure PAS technology is developed and applied in ways that respect human dignity and autonomy (Hartwigsen and Volz, <xref ref-type="bibr" rid="B6">2021</xref>).</p>
<p>Finally, the interdisciplinary nature of this research fosters collaboration between medicine, engineering, and cognitive sciences, creating rich educational and research opportunities. Universities and research institutions can develop new curricula and research programs focused on neuromodulation and its applications. This can lead to the training of a new generation of scientists and engineers equipped to tackle complex healthcare challenges, further driving innovation in the field. Therefore, we can affirm that the social and clinical impact of PAS research extends far beyond the scientific realm. By improving patient outcomes, reducing healthcare costs, empowering individuals, and fostering interdisciplinary collaboration, PAS has the potential to bring about significant positive changes in society. As we continue to explore and develop this promising technology, it is essential to consider and address the broader social and ethical implications to maximize its benefits for all.</p></sec>
<sec id="s5">
<title>5 Limitations</title>
<p>The presented method has the following limitations: (1) the step of the inter-pulse delay setup should be &#x0003C; 50 &#x003BC;s the finer the step the wider ranges of compensatory effects we can observe; (2) the pulse with steps is 50 &#x003BC;s the less sensitive setup of the experiment though it still has a significant impact on the ranges of compensatory effects; (3) individual parameters of hands including linear size and muscle volume and depth of nerves have the significant impact on the delay/pulse width combination.</p></sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving humans were approved by the Kazan Federal University Ethics Committee (Reference 12). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>AL: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. YM: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. DM: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. GB: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. AT: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. EF: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. JV: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing. MT: Writing &#x02013; original draft, Writing &#x02013; review &#x00026; editing.</p>
</sec>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This paper has been supported by the Catalan Institution for Research and Advanced Studies (ICREA, Instituci&#x000F3; Catalana de Recerca i Estudis Avan&#x000E7;ats) and Kazan Federal University Strategic Academic Leadership Program (PRIORITY-2030).</p>
</sec>
<ack><p>The authors would like to thank the B-Rain Labs LLC company for supporting their work with neurosimulations.</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>AL, YM, DM, and AT were employed by B-Rain Labs LLC. The remaining authors declare that the research 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="disclaimer" id="s10">
<title>Publisher&#x00027;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>
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