<?xml version="1.0" encoding="UTF-8"?>
<!DOCTYPE root>
<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="research-article" dtd-version="1.2" xml:lang="en"><front><journal-meta><journal-id journal-id-type="publisher-id">Russian Journal of Physiology</journal-id><journal-title-group><journal-title xml:lang="en">Russian Journal of Physiology</journal-title><trans-title-group xml:lang="ru"><trans-title>Российский физиологический журнал им. И.М. Сеченова</trans-title></trans-title-group></journal-title-group><issn publication-format="print">0869-8139</issn><issn publication-format="electronic">2658-655X</issn><publisher><publisher-name xml:lang="en">The Russian Academy of Sciences</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="publisher-id">687411</article-id><article-id pub-id-type="doi">10.31857/S0869813925060065</article-id><article-id pub-id-type="edn">TFAQUZ</article-id><article-categories><subj-group subj-group-type="toc-heading" xml:lang="en"><subject>EXPERIMENTAL ARTICLES</subject></subj-group><subj-group subj-group-type="toc-heading" xml:lang="ru"><subject>ЭКСПЕРИМЕНТАЛЬНЫЕ СТАТЬИ</subject></subj-group><subj-group subj-group-type="article-type"><subject>Research Article</subject></subj-group></article-categories><title-group><article-title xml:lang="en">Comparative Analysis of Electromyographic Indicators of Subjects During Sensorimotor Training in Various Social Conditions of Activity in Dyads</article-title><trans-title-group xml:lang="ru"><trans-title>Сравнительный анализ электромиографических показателей испытуемых при сенсомоторных тренингах в различных социальных условиях деятельности в диадах</trans-title></trans-title-group></title-group><contrib-group><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Galushka</surname><given-names>E. S.</given-names></name><name xml:lang="ru"><surname>Галушка</surname><given-names>Е. С.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>galushka_es@academpharm.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Murtazina</surname><given-names>E. P.</given-names></name><name xml:lang="ru"><surname>Муртазина</surname><given-names>Е. П.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>galushka_es@academpharm.ru</email><xref ref-type="aff" rid="aff1"/></contrib><contrib contrib-type="author"><name-alternatives><name xml:lang="en"><surname>Pertsov</surname><given-names>S. S.</given-names></name><name xml:lang="ru"><surname>Перцов</surname><given-names>С. С.</given-names></name></name-alternatives><address><country country="RU">Russian Federation</country></address><email>galushka_es@academpharm.ru</email><xref ref-type="aff" rid="aff1"/></contrib></contrib-group><aff-alternatives id="aff1"><aff><institution xml:lang="en">Federal Research Center for Innovator and Emerging Biomedical and Pharmaceutical Technologies</institution></aff><aff><institution xml:lang="ru">Федеральный исследовательский центр оригинальных и перспективных биомедицинских и фармацевтических технологий</institution></aff></aff-alternatives><pub-date date-type="pub" iso-8601-date="2025-06-15" publication-format="electronic"><day>15</day><month>06</month><year>2025</year></pub-date><volume>111</volume><issue>6</issue><issue-title xml:lang="en"/><issue-title xml:lang="ru"/><fpage>912</fpage><lpage>928</lpage><history><date date-type="received" iso-8601-date="2025-07-13"><day>13</day><month>07</month><year>2025</year></date><date date-type="accepted" iso-8601-date="2025-07-13"><day>13</day><month>07</month><year>2025</year></date></history><permissions><copyright-statement xml:lang="en">Copyright ©; 2025, Russian Academy of Sciences</copyright-statement><copyright-statement xml:lang="ru">Copyright ©; 2025, Российская академия наук</copyright-statement><copyright-year>2025</copyright-year><copyright-holder xml:lang="en">Russian Academy of Sciences</copyright-holder><copyright-holder xml:lang="ru">Российская академия наук</copyright-holder></permissions><self-uri xlink:href="https://journals.eco-vector.com/0869-8139/article/view/687411">https://journals.eco-vector.com/0869-8139/article/view/687411</self-uri><abstract xml:lang="en"><p>The objective is to analyze the amplitude-spectral indicators of electromyograms and their relationships with the performance of subjects during sensorimotor training in different social conditions of activity in dyads. The study was conducted on 256 subjects. As a model of activity, the sensorimotor training “Columns” of the software and hardware complex “BOS-Kinesis” (LTD “Neurotech”, Taganrog) was used with biological feedback from electromyographic signals from the radial flexor of the wrist (lat. flexor carpi radialis) of the leading hand of the subjects performing the task in 3 social contexts: individual, competitive and cooperative. As a result of the study of EMG characteristics of the sensorimotor activity of subjects in different social conditions, the following gender differences were revealed: at the individual stage, women have higher frequency characteristics of EMG, and men have higher amplitude and power of the EMG spectrum at the stages of competition and cooperation. The dynamics of EMG characteristics in women, unlike men, is associated with changes in social activity conditions. The variability of the frequency characteristics of the EMG spectrum increased in both men and women under joint activity conditions. Opposite directions of changes in the variability of the integral amplitude and total power of the EMG spectrum in joint activity contexts compared to individual ones were found: an increase in these indicators in men, but a decrease in women. In the female sample, the training performance correlated positively with the average EMG frequency values in all activity contexts, and negatively with the amplitude and power of the EMG spectrum during cooperation. The performance of men and women in all sensorimotor activity conditions correlated negatively with the variability of EMG characteristics. The results of the study contribute to the understanding of the features of the implementation of voluntary human movements when performing sensorimotor tasks in various conditions of social interactions. The obtained data can form the basis for identifying prognostic criteria for the effectiveness of joint sensorimotor activity to create methods for selecting successful teams and optimizing production processes.</p></abstract><trans-abstract xml:lang="ru"><p>Цель настоящей работы – анализ амплитудно-спектральных показателей электромиограмм и их взаимосвязей с результативностью испытуемых при выполнении сенсомоторных тренингов в разных социальных условиях деятельности в диадах. Исследование проведено на 256 испытуемых. В качестве модели деятельности использовался сенсомоторный тренинг “Столбики” программно-аппаратного комплекса “БОС-Кинезис” (ООО “Нейротех”, Россия) с биологической обратной связью от электромиографических сигналов с лучевого сгибателя кисти (лат. <italic>flexor carpi radialis</italic>) ведущей руки испытуемых, выполнявших задание в трех социальных контекстах: индивидуальном, соревновательном и кооперативном. При исследовании характеристик ЭМГ (электромиограммы) сенсомоторной деятельности испытуемых в разных социальных условиях выявлены следующие половые различия: на индивидуальном этапе выше частотные характеристики ЭМГ у женщин, а при соревновании и кооперации – больше амплитуда и мощность спектра ЭМГ у мужчин. Динамика показателей ЭМГ женщин, в отличие от мужчин, сопряжена с изменением социальных условий деятельности. Вариабельность частотных характеристик спектра ЭМГ возрастала и у мужчин, и у женщин в совместных условиях деятельности. Обнаружен противоположный характер изменений вариабельности интегральной амплитуды и суммарной мощности спектра ЭМГ в совместных контекстах деятельности по сравнению с индивидуальным: рост этих показателей у мужчин, снижение – у женщин. В женской выборке результативность тренингов положительно коррелировала со средними показателями частоты ЭМГ во всех контекстах деятельности, отрицательно – с амплитудой и мощностью спектра ЭМГ при кооперации. Результативность мужчин и женщин во всех условиях сенсомоторной деятельности отрицательно коррелировала с вариабельностью характеристик ЭМГ. Результаты исследования вносят вклад в понимание особенностей реализации произвольных движений человека при выполнении сенсомоторных заданий в различных условиях социальных взаимодействий. Полученные данные могут лечь в основу выявления прогностических критериев эффективности совместной сенсомоторной деятельности для создания методик подбора успешно действующих команд и оптимизации производственных процессов.</p></trans-abstract><kwd-group xml:lang="en"><kwd>effectiveness of sensorimotor activity</kwd><kwd>social context</kwd><kwd>competition</kwd><kwd>cooperation</kwd><kwd>amplitude</kwd><kwd>frequency</kwd><kwd>power of the electromyogram spectrum</kwd></kwd-group><kwd-group xml:lang="ru"><kwd>результативность сенсомоторной деятельности</kwd><kwd>социальный контекст</kwd><kwd>соревнование</kwd><kwd>кооперация</kwd><kwd>амплитуда</kwd><kwd>частота</kwd><kwd>мощность спектра электромиограммы</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution xml:lang="ru">Правительство РФ, госзадание</institution></institution-wrap><institution-wrap><institution xml:lang="en">Government of the Russian Federation, state assignment</institution></institution-wrap></funding-source></award-group></funding-group></article-meta></front><body></body><back><ref-list><ref id="B1"><label>1.</label><mixed-citation>Sebanz N, Bekkering H, Knoblich G (2006) Joint action: Вodies and minds moving together. Trends Cognit Sci 10(2): 70–76. https://doi.org/10.1016/j.tics.2005.12.009</mixed-citation></ref><ref id="B2"><label>2.</label><mixed-citation>Белоусова АК, Качан ЮМ (2024) Функционально-ролевое распределение студентов при совместном решении задач разного типа. Вестн Удмуртск универ Сер. Филос Психол Педагог 34(1): 26–37. [Belousova AK, Kachan YuM (2024) Functional-role distribution of students in the joint solution of problems of different types. Vestn Udmurtsk Univer [Udmurt State Univer] Series Philosophy Psychology Pedagogy 34(1): 26–37. (In Russ)]. https://doi.org/10.35634/2412-9550-2024-34-1-26-37</mixed-citation></ref><ref id="B3"><label>3.</label><mixed-citation>Kaefer A, Chiviacowsky S (2022) Cooperation enhances motor learning. Human Movement Sci 85: 102978. https://doi.org/10.1016/j.humov.2022.102978</mixed-citation></ref><ref id="B4"><label>4.</label><mixed-citation>Wongvorachan T (2023) The Impact of Classroom Competition and Cooperation to Student Academic Performance. https://doi.org/10.31234/osf.io/7vugd</mixed-citation></ref><ref id="B5"><label>5.</label><mixed-citation>Fischer P, Camba L, Ooi SH, Chevalier N (2018) Supporting cognitive control through competition and cooperation in childhood. J Exp Child Psychol 173: 28–40. https://doi.org/10.1016/j.jecp.2018.03.011</mixed-citation></ref><ref id="B6"><label>6.</label><mixed-citation>Banks GC, Whelpley CE, Crawford ER, O’Boyle EH, Kepes S (2021) Getting along to get ahead: The role of social context in tournament promotion and reward systems. PLoS One 16(9): e0257389. https://doi.org/10.1371/journal.pone.0257389</mixed-citation></ref><ref id="B7"><label>7.</label><mixed-citation>Nebel S, Schneider S, Rey GD (2016) Computers in Human Behavior From duels to classroom competition: Social competition and learning in educational videogames within different group sizes. Comput Human Behav 55: 384–398. http://doi.org/10.1016/j.chb.2015.09.035</mixed-citation></ref><ref id="B8"><label>8.</label><mixed-citation>Koban L, Pourtois G, Bediou B, Vuilleumier P (2012) Effects of social context and predictive relevance on action outcome monitoring. Cognit Affectiv Behav Neurosci 12(3): 460–478. https://doi.org/10.3758/s13415-012-0091-0</mixed-citation></ref><ref id="B9"><label>9.</label><mixed-citation>Vanutelli ME, Gatti L, Angioletti L, Balconi M (2018) May the Best Joint-Actions Win: Physiological Linkage During Competition. Appl Psychophysiol Biofeedback 43(3): 227–237. https://doi.org/10.1007/s10484-018-9402-8</mixed-citation></ref><ref id="B10"><label>10.</label><mixed-citation>Krishnan-Barman S, Forbes PAG, Hamilton AF de C (2017) How can the study of action kinematics inform our understanding of human social interaction? Neuropsychologia 105: 101–110. https://doi.org/10.1016/j.neuropsychologia.2017.01.018</mixed-citation></ref><ref id="B11"><label>11.</label><mixed-citation>Меськова ЕС, Муртазина ЕП, Гинзбург-Шик ЮА (2022) Межличностная координация: системные аспекты и социально-психофизиологические факторы (обзор). Психол Психофизиол 15(3): 91–102. [Meskova ES, Murtazina EP, Ginzburg-Shik YuA (2022) Joint action coordination: Systemic aspects and socio-psychophysiological factors (review). Psychol Psychophysiol 15(3): 91–102. (In Russ)]. https://doi.org/10.14529/jpps220309</mixed-citation></ref><ref id="B12"><label>12.</label><mixed-citation>Hussain J, Sundaraj K, Subramaniam ID (2020) Cognitive stress changes the attributes of the three heads of the triceps brachii during muscle fatigue. PLoS One 15(1): e0228089. https://doi.org/10.1371/journal.pone.0228089</mixed-citation></ref><ref id="B13"><label>13.</label><mixed-citation>Tamburro G, Fiedler P, De Fano A, Raeisi K, Khazaei M, Vaquero L, Bruña R, Oppermann H, Bertollo M, Filho E, Zappasodi F, Comani S (2023) An ecological study protocol for the multimodal investigation of the neurophysiological underpinnings of dyadic joint action. Front Human Neurosci 17: 1305331. https://doi.org/10.3389/fnhum.2023.1305331</mixed-citation></ref><ref id="B14"><label>14.</label><mixed-citation>Muceli S, Merletti R (2024) Tutorial. Frequency analysis of the surface EMG signal: Best practices. J Electromyograph Kinesiol 79: 102937. https://doi.org/10.1016/j.jelekin.2024.102937</mixed-citation></ref><ref id="B15"><label>15.</label><mixed-citation>Rodrigues SB, de Faria LP, Monteiro AM, Lima JL, Barbosa TM, Duarte JA (2022) EMG signal processing for the study of localized muscle fatigue-pilot study to explore the applicability of a novel method. Int J Environment Res Public Health 19(20): 13270. https://doi.org/10.3390/ijerph192013270</mixed-citation></ref><ref id="B16"><label>16.</label><mixed-citation>Arendt-Nielsen L, Mills KR (1985) The relationship between mean power frequency of the EMG spectrum and muscle fibre conduction velocity. Electroencephalograph Clin Neurophysiol 60(2): 130–134. https://doi.org/10.1016/0013-4694(85)90019-7</mixed-citation></ref><ref id="B17"><label>17.</label><mixed-citation>Allison GT, Fujiwara T (2002) The relationship between EMG median frequency and low frequency band amplitude changes at different levels of muscle capacity. Clin Biomechan (Bristol, Avon) 17(6): 464–469. https://doi.org/10.1016/s0268-0033(02)00033-5</mixed-citation></ref><ref id="B18"><label>18.</label><mixed-citation>Dideriksen JL, Farina D (2019) Amplitude cancellation influences the association between frequency components in the neural drive to muscle and the rectified EMG signal. PLoS Computat Biol 15(5): e1006985. https://doi.org/10.1371/journal.pcbi.1006985</mixed-citation></ref><ref id="B19"><label>19.</label><mixed-citation>Джелдубаева ЭР, Бирюкова ЕА, Махин СА, Бабанов НД, Чуян ЕН, Кубряк ОВ (2020) Максимальная амплитуда электромиограмм сгибателей и разгибателей рук в серии сеансов управления силовым джойстиком у здоровых добровольцев. Рос физиол журн им ИМ Сеченова 106(1): 44–54. [Dzheldubaeva ER, Biryukova EA, Makhin SA, Babanov ND, Chuyan EN, Kubryak OV (2020) Electromyogram Maximum Amplitudes in Arm Flexors and Extensors in Healthy Volunteers in a Series of the Power Joystick Control Training Sessions. Russ J Physiol 106(1): 44–54. (In Russ)]. https://doi.org/10.31857/S0869813920010069</mixed-citation></ref><ref id="B20"><label>20.</label><mixed-citation>Jodoin HL, Hinks A, Roussel OP, Contento VS, Dalton BH, Power GA (2023) Eccentric exercise-induced muscle weakness abolishes sex differences in fatigability during sustained submaximal isometric contractions. J Sport Health Sci 12(4): 523–533. https://doi.org/10.1016/j.jshs.2023.02.001</mixed-citation></ref><ref id="B21"><label>21.</label><mixed-citation>Metcalf E, Hagstrom AD, Marshall PW (2019). Trained females exhibit less fatigability than trained males after a heavy knee extensor resistance exercise session. Eur J Appl Physiol 119(1): 181–190. https://doi.org/10.1007/s00421-018-4013-x</mixed-citation></ref><ref id="B22"><label>22.</label><mixed-citation>Yoon T, Schlinder Delap B, Griffith EE, Hunter SK (2007) Mechanisms of fatigue differ after low and high force fatiguing contractions in men and women. Muscle &amp; Nerve: Offic J Am Associat Electrodiagn Med 36(4): 515–524. https://doi.org/10.1002/mus.20844</mixed-citation></ref><ref id="B23"><label>23.</label><mixed-citation>Rhee J, Dillards T, Nzoiwu M, Mehta RK (2017) Effect of Social Stress on Motor Function in Older Adults: An fNIRS Investigation. Proc Human Factors Ergonom Soc Annu Meet 61(1): 30–31. https://doi.org/10.1177/1541931213601502</mixed-citation></ref><ref id="B24"><label>24.</label><mixed-citation>Fischer P, Camba L, Ooi SH, Chevalier N (2018) Supporting cognitive control through competition and cooperation in childhood. J Exp Child Psychol 173: 28–40. https://doi.org/10.1016/j.jecp.2018.03.011</mixed-citation></ref><ref id="B25"><label>25.</label><mixed-citation>Ofole NM (2022) Social loafing among learner support staff for open and distance education programmes in south-western Nigeria: The imperative for counselling intervention. Open Learn: J Open Distance and e-Learn 37(1): 84–101. https://doi.org/10.1080/02680513.2020.1736020</mixed-citation></ref><ref id="B26"><label>26.</label><mixed-citation>Yang D, Tu CC, He TB (2024) Effect of Conscientiousness on Social Loafing Among Male and Female Chinese University Students. Asia-Pacific Educat Res 33(2): 459–469. https://doi.org/10.1007/s40299-023-00742-0</mixed-citation></ref><ref id="B27"><label>27.</label><mixed-citation>D’Emanuele S, Boccia G, Angius L, Hayman O, Goodall S, Schena F, Tarperi C (2024) Reduced rate of force development under fatigued conditions is associated to the decline in force complexity in adult males. Eur J Appl Physiol 124(12): 3583–35911. https://doi.org/10.1007/s00421-024-05561-9</mixed-citation></ref><ref id="B28"><label>28.</label><mixed-citation>Raffalt PC, Yentes JM, Spedden ME (2023) Isometric force complexity may not fully originate from the nervous system. Human Movement Sci 90: 103111. https://doi.org/10.1016/j.humov.2023.103111</mixed-citation></ref><ref id="B29"><label>29.</label><mixed-citation>García-Aguilar F, Caballero C, Sabido R, Moreno FJ (2022) The use of non-linear tools to analyze the variability of force production as an index of fatigue: A systematic review. Front Physiol 13: 1074652. https://doi.org/10.3389/fphys.2022.1074652</mixed-citation></ref><ref id="B30"><label>30.</label><mixed-citation>Stergiou N, Decker LM (2011) Human Movement Variability, Nonlinear Dynamics, and Pathology: Is There a Connection? Human Movement Sci 30(5): 869–888. https://doi.org/10.1016/j.humov.2011.06.002</mixed-citation></ref><ref id="B31"><label>31.</label><mixed-citation>Grabiner MD, Marone JR, Wyatt M, Sessoms P, Kaufman KR (2018) Performance of an attention-demanding task during treadmill walking shifts the noise qualities of step-to-step variation in step width. Gait &amp; Posture 63: 154–158. https://doi.org/10.1016/j.gaitpost.2018.04.041</mixed-citation></ref><ref id="B32"><label>32.</label><mixed-citation>Faisal AA, Selen LPJ, Wolpert DM (2008) Noise in the nervous system. Nature Rev Neurosci 9(4): 292–303. https://doi.org/10.1038/nrn2258</mixed-citation></ref><ref id="B33"><label>33.</label><mixed-citation>Taylor JL, Amann M, Duchateau J, Meeusen R, Rice CL (2016) Neural contributions to muscle fatigue: From the brain to the muscle and back again. Med Sci Sports Exercise 48: 2294–2306. https://doi.org/10.1249/MSS.0000000000000923</mixed-citation></ref><ref id="B34"><label>34.</label><mixed-citation>Kavanagh JJ, Smith KA, Minahan CL (2020) Sex differences in muscle activity emerge during sustained low-intensity contractions but not during intermittent low-intensity contractions. Physiol Rep 8(7): e14398. https://doi.org/10.14814/phy2.14398</mixed-citation></ref><ref id="B35"><label>35.</label><mixed-citation>Svendsen JH, Madeleine P (2010) Amount and structure of force variability during short, ramp and sustained contractions in males and females. Human Movement Sci 29(1): 35–47. https://doi.org/10.1016/j.humov.2009.09.001</mixed-citation></ref><ref id="B36"><label>36.</label><mixed-citation>Renda E, Yang C, Côté JN (2022) Sex-specific myoelectric manifestations of localized fatigue during a multi-joint repetitive task. J Electromyograph Kinesiol 67: 102717. https://doi.org/10.1016/j.jelekin.2022.102717</mixed-citation></ref><ref id="B37"><label>37.</label><mixed-citation>Rodriguez-Falces J, Malanda A, Mariscal C, Navallas J (2024) The filling factor of the sEMG signal at low contraction forces in the quadriceps muscles is influenced by the thickness of the subcutaneous layer. Front Physiol 14: 1298317. https://doi.org/10.3389/fphys.2023.1298317</mixed-citation></ref></ref-list></back></article>
