2026 / 03

DOI: 10.24075/vrgmu.2026.030
Авторские права: © 2026 принадлежат авторам. Лицензиат: РНИМУ им. Н.И. Пирогова.
Статья размещена в открытом доступе и распространяется на условиях лицензии Creative Commons Attribution (CC BY).

ОРИГИНАЛЬНОЕ ИССЛЕДОВАНИЕ

Десинхронизация сенсомоторных ритмов при совершении квазидвижений, основанных на естественных движениях пальцев руки

Е. П. Свирин1 , Д. А. Бердышев1,2 , С. Л. Шишкин2
Информация об авторах

1 Центр нейрокогнитивных исследований (МЭГ-центр), Московский государственный психолого-педагогический университет, Москва, Россия

2 Московский государственный университет имени М. В. Ломоносова, Москва, Россия

Для корреспонденции: Евгений Павлович Свирин
Шелепихинская набережная, д. 2А, стр. 2, г. Москва, 123290, Россия; moc.liamg@tnikigoj

Информация о статье

Финансирование: исследование выполнено за счет гранта Российского научного фонда № 24-75-00105, https://rscf.ru/project/24-75-00105/.

Благодарности: авторы благодарят А. Васильева за рекомендации по обработке данных и обратную связь.

Вклад авторов: Е. П. Свирин — дизайн исследования, проведение экспериментов, анализ результатов, написание статьи, написание финальной версии; Д. А. Бердышев — дизайн исследования, анализ результатов, написание статьи; С. Л. Шишкин — концептуализация исследования, обсуждение результатов, написание финальной версии.

Соблюдение этических стандартов: исследование одобрено этическим комитетом Московского государственного психолого-педагогического университета (протокол заседания № 4 от 01 апреля 2026 г.). Все участники подписали добровольное информированное согласие на участие в исследовании.

Статья получена: 19.04.2026 Статья принята к печати: 11.05.2026 Опубликовано online: 14.06.2026
|
  1. Pfurtscheller G, Neuper C. Motor imagery and direct brain-computer communication. Proceedings of the IEEE. 2001; 89: 1123–34. Available from: https://doi.org/10.1109/5.939829.
  2. Korda Z, Walcher S, Korner C, Benedek M. Effects of internally directed cognition on smooth pursuit eye movements: A systematic examination of perceptual decoupling. Atten Percept Psychophys. 2023; 85: 1159–1178. Available from: https://doi.org/10.3758/s13414-023-02688-3.
  3. Walcher S, Korda Z, Korner C, Benedek M. The effects of type and workload of internal tasks on voluntary saccades in a target-distractor saccade task. PloS One. 2023; 18: e0290322. Available from: https://doi.org/10.1371/journal.pone.0290322.
  4. Cohen D, Nakai T, Nishimoto S. Brain networks are decoupled from external stimuli during internal cognition. Neuroimage. 2022; 256: 119230. Available from: https://doi.org/10.1016/j.neuroimage.2022.119230.
  5. Jeannerod M. Neural simulation of action: a unifying mechanism for motor cognition. Neuroimage. 2001; 14: S103–9. Available from: https://doi.org/10.1006/nimg.2001.0832.
  6. Glover S, Baran M. The motor-cognitive model of motor imagery: Evidence from timing errors in simulated reaching and grasping. J Exp Psychol Hum Percept Perform. 2017; 43: 1359–75. Available from: https://doi.org/10.1037/xhp0000389.
  7. Nikulin VV, Hohlefeld FU, Jacobs AM, Curio G. Quasi-movements: a novel motor-cognitive phenomenon. Neuropsychologia. 2008; 46: 727–42. Available from: https://doi.org/10.1016/j.neuropsychologia.2007.10.008.
  8. Hohlefeld FU, Nikulin VV, Curio G. Covert movements trigger repetition suppression of electroencephalography in sensorimotor cortex. Neuroreport. 2011; 22: 141–5. Available from: https://doi.org/10.1097/WNR.0b013e3283436d84.
  9. Vasilyev AN, Yashin AS, Shishkin SL. Quasi-Movements and "Quasi-Quasi-Movements": Does Residual Muscle Activation Matter? Life (Basel). 2023; 13. Available from: https://doi.org/10.3390/life13020303.
  10. Yashin AS, Shishkin SL, Vasilyev AN. Is there a continuum of agentive awareness across physical and mental actions? The case of quasi-movements. Conscious Cogn. 2023; 112: 103531. Available from: https://doi.org/10.1016/j.concog.2023.103531.
  11. Yashin AS, Vasilyev AN, Shevtsova YG, Shishkin SL. Can Quasi-Movements be Used as a Model of the BCI Based on Attempted Movements? 2024 IEEE International Conference on Systems, Man, and Cybernetics (SMC). 2024: 2028–33. Available from: https://doi.org/10.1109/SMC54092.2024.10831475.
  12. Blokland Y, Spyrou L, Lerou J, Mourisse J, Jan Scheffer G, van Geffen GJ, et al. Detection of attempted movement from the EEG during neuromuscular block: proof of principle study in awake volunteers. Sci Rep. 2015; 5: 12815. Available from: https://doi.org/10.1038/srep12815.
  13. Mansour S, Ang KK, Nair KPS, Phua KS, Arvaneh M. Efficacy of Brain-Computer Interface and the Impact of Its Design Characteristics on Poststroke Upper-limb Rehabilitation: A Systematic Review and Meta-analysis of Randomized Controlled Trials. Clin EEG Neurosci. 2022; 53: 79–90. Available from: https://doi.org/10.1177/15500594211009065.
  14. Pereira J, Ofner P, Muller-Putz GR. Goal-directed or aimless? EEG differences during the preparation of a reach-and-touch task. Annu Int Conf IEEE Eng Med Biol Soc. 2015; 2015: 1488–91. Available from: https://doi.org/10.1109/EMBC.2015.7318652.
  15. Pereira J, Ofner P, Schwarz A, Sburlea AI, Muller-Putz GR. EEG neural correlates of goal-directed movement intention. Neuroimage. 2017; 149: 129–40. Available from: https://doi.org/10.1016/j.neuroimage.2017.01.030.
  16. Pfurtscheller G, Neuper C, Krausz G. Functional dissociation of lower and upper frequency mu rhythms in relation to voluntary limb movement. Clin Neurophysiol. 2000; 111: 1873–9. Available from: https://doi.org/10.1016/s1388-2457(00)00428-4.
  17. Fumuro T, Matsuhashi M, Miyazaki T, Inouchi M, Hitomi T, Matsumoto R, et al. Alpha-band desynchronization in human parietal area during reach planning. Clin Neurophysiol. 2015; 126: 756–62. Available from: https://doi.org/10.1016/j.clinph.2014.07.026.
  18. Nuzhdin YO. RESONANCE — A BCI FRAMEWORK FOR WORKING WITH MULTIPLE DATA SOURCES. 8th Graz Brain-Computer Interface Conference. 2019. Available from: https://doi.org/10.3217/978-3-85125-682-6-15.
  19. PyGame. Available from: https://www.pygame.org/ (Accessed: 17.04.2026).
  20. Wiktorski T, Krolak A. Extended approach to sum of absolute differences method for improved identification of periods in biomedical time series. MethodsX. 2020; 7: 101094. Available from: https://doi.org/10.1016/j.mex.2020.101094.
  21. Appelhoff S, Hurst AJ, Lawrence A, Li A, Mantilla Ramos YJ, O'Reilly C, et al. PyPREP: A Python implementation of the preprocessing pipeline (PREP) for EEG data. Available from: https://doi.org/10.5281/zenodo.6363575.
  22. Bigdely-Shamlo N, Mullen T, Kothe C, Su KM, Robbins KA. The PREP pipeline: standardized preprocessing for large-scale EEG analysis. Front Neuroinform. 2015; 9: 16. Available from: https://doi.org/10.3389/fninf.2015.00016.
  23. Kayser J, Tenke CE. On the benefits of using surface Laplacian (current source density) methodology in electrophysiology. Int J Psychophysiol. 2015; 97: 171–3. Available from: https://doi.org/10.1016/j.ijpsycho.2015.06.001.
  24. Слезкин А. А., Степина С. П., Гусейн-заде Н. Г. Локальный пространственный анализ ЭЭГ-сигналов с помощью лапласиановского монтажа. Российский технологический журнал. 2024; 12 (1): 92–100. Available from: https://doi.org/10.32362/2500-316X-2024-12-1-92-100.
  25. Labyt E, Szurhaj W, Bourriez JL, Cassim F, Defebvre L, Destee A, et al. Changes in oscillatory cortical activity related to a visuomotor task in young and elderly healthy subjects. Clin Neurophysiol. 2003; 114: 1153– 66. Available from: https://doi.org/10.1016/s1388-2457(03)00058-0.
  26. Del Percio C, Babiloni C, Bertollo M, Marzano N, Iacoboni M, Infarinato F, et al. Visuo-attentional and sensorimotor alpha rhythms are related to visuo-motor performance in athletes. Hum Brain Mapp. 2009; 30: 3527–40. Available from: https://doi.org/10.1002/hbm.20776.
  27. Del Percio C, Infarinato F, Iacoboni M, Marzano N, Soricelli A, Aschieri P, et al. Movement-related desynchronization of alpha rhythms is lower in athletes than non-athletes: a high-resolution EEG study. Clin Neurophysiol. 2010; 121: 482–91. Available from: https://doi.org/10.1016/j.clinph.2009.12.004.
  28. Kerick SE, Douglass LW, Hatfield BD. Cerebral cortical adaptations associated with visuomotor practice. Med Sci Sports Exerc. 2004; 36: 118–29. Available from: https://doi.org/10.1249/01.MSS.0000106176.31784.D4.
  29. Wright DJ, Holmes P, Di Russo F, Loporto M, Smith D. Reduced motor cortex activity during movement preparation following a period of motor skill practice. PloS One. 2012; 7: e51886. Available from: https://doi.org/10.1371/journal.pone.0051886.
  30. Angelini M, Calbi M, Ferrari A, Sbriscia-Fioretti B, Franca M, Gallese V, et al. Motor Inhibition during Overt and Covert Actions: An Electrical Neuroimaging Study. PloS One. 2015; 10: e0126800. Available from: https://doi.org/10.1371/journal.pone.0126800.