Abstract
The effectiveness of the feedback in the form of the functional electrical stimulation (FES) that induces flexion and extension of the fingers for the acquisition of the skill of imagining the corresponding movements in the brain–computer interface (BCI) depending on the degree of similarity between the imaginary and real movements has been investigated. The study involved 36 healthy volunteers. It has been found that the two types of feedback in the form of congruent and non-congruent motions induced by FES contributed to the development of the movement representation skill, with the non-congruent reinforcement having a more significant effect. In addition, the possibility of creating effective training complexes for the recovery of motor function after stroke or neurotrauma based on BCI–FES hybrid complexes has been discussed.
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REFERENCES
Feltz, D.L. and Landers, D.M., The effects of mental practice on motor skill learning and performance: a meta-analysis, J. Sport Psychol., 1983, vol. 5, no. 1, p. 25.
Braun, S., Kleynen, M., van Heel, T., et al., The effects of mental practice in neurological rehabilitation; a systematic review and meta-analysis, Front. Hum. Neurosci., 2013, vol. 7, p. 390.
Grosprêtre, S., Ruffino, C., and Lebon, F., Motor imagery and cortico-spinal excitability: a review, Eur. J. Sport Sci., 2016, vol. 16, no. 3, p. 317.
Ruffino, C., Papaxanthis, C., and Lebon, F., Neural plasticity during motor learning with motor imagery practice: review and perspectives, Neuroscience, 2017, vol. 341, p. 61.
Llanos, C., Rodriguez, M., Rodriguez-Sabate, C., et al., Mu-rhythm changes during the planning of motor and motor imagery actions, Neuropsychologia, 2013, vol. 51, no. 6, p. 1019.
Ang, K.K. and Guan, C., EEG-based strategies to detect motor imagery for control and rehabilitation, IEEE Trans. Neural Syst. Rehabil. Eng., 2017, vol. 25, no. 4, p. 392.
Birbaumer, N. and Cohen, L.G., Brain–computer interfaces: communication and restoration of movement in paralysis, J. Physiol., 2007, vol. 579, no. 3, p. 621.
Kaplan, A.Ya., Neurophysiological foundations and practical realizations of the brain–machine interfaces in the technology in neurological rehabilitation, Hum. Physiol., 2016, vol. 42, no. 1, p. 103.
Frolov, A.A., Mokienko, O.A., Lyukmanov, R.Kh., et al., Preliminary results of a controlled study of BCI-exoskeleton technology efficiency in patients with post-stroke arm paresis, Vestn. Ross. Gos. Med. Univ., 2016, no. 2, p. 17.
Mokienko, O.A., Bobrov, P.D., Chernikova, L.A., and Frolov, A.A., Imagination-based brain-computer interface in the rehabilitation of patients with hemiparesis, Byull. Sib. Med., 2013, vol. 12, no. 2, p. 30.
Teo, W.P. and Chew, E., Is motor-imagery brain-computer interface feasible in stroke rehabilitation? PM&R, 2014, vol. 6, no. 8, p. 723.
Ahn, M. and Jun, S.C., Performance variation in motor imagery brain–computer interface: a brief review, J. Neurosci. Methods, 2015, vol. 243, p. 103.
Daly, J.J., Cheng, R., Rogers, J., et al., Feasibility of a new application of noninvasive brain computer interface (BCI): a case study of training for recovery of volitional motor control after stroke, J. Neurol. Phys. Ther., 2009, vol. 33, no. 4, p. 203.
Marquez-Chin, C., Marquis, A., and Popovic, M.R., BCI-triggered functional electrical stimulation therapy for upper limb, Eur. J. Transl. Myol., 2016, vol. 26, no. 3, p. 274.
Chung, E., Kim, J.H., Park, D.S., and Lee, B.H., Effects of brain-computer interface-based functional electrical stimulation on brain activation in stroke patients: a pilot randomized controlled trial, J. Phys. Ther. Sci., 2015, vol. 27, no. 3, p. 559.
Biasiucci, A., Leeb, R., Iturrate, I., et al., Brain-actuated functional electrical stimulation elicits lasting arm motor recovery after stroke, Nat. Commun., 2018, vol. 9, no. 1, p. 2421.
Mukaino, M., Ono, T., Shindo, K., et al., Efficacy of brain-computer interface-driven neuromuscular electrical stimulation for chronic paresis after stroke, J. Rehabil. Med., 2014, vol. 46, no. 4, p. 378.
Vasil’ev, A.N., Liburkina, S.P., and Kaplan, A.Ya., Lateralization of human EEG patterns in the representation of arm movements in the brain–computer interface, Zh. Vyssh. Nervn. Deyat. im. I.P. Pavlova, 2016, vol. 66, no. 3, p. 302.
Schuhfried, O., Crevenna, R., Fialka-Moser, V., and Paternostro-Sluga, T., Non-invasive neuromuscular electrical stimulation in patients with central nervous system lesions: an educational review, J. Rehabil. Med., 2012, vol. 44, no. 2, p. 99.
de Kroon, J.R., Ijzerman, M.J., Chae, J., et al., Relation between stimulation characteristics and clinical outcome in studies using electrical stimulation to improve motor control of the upper extremity in stroke, J. Rehabil. Med., 2005, vol. 37, p. 65.
Pfurtscheller, G., Müller-Putz, G.R., Pfurtscheller, J., et al., Non-invasive neuromuscular electrical stimulation in patients with central nervous system lesions: an educational review, J. Rehabil. Med., 2012, vol. 44, no. 2, p. 99.
Vasilyev, A., Liburkina, S., Yakovlev, L., et al., Assessing motor imagery in brain-computer interface training: psychological and neurophysiological correlates, Neuropsychologia, 2017, vol. 97, p. 56.
Simonov, P.V., Information theory of emotions, in Psikhologiya emotsii (Psychology of Emotions), Moscow: Mosk. Gos. Univ., 1984, p. 178.
ACKNOWLEDGMENTS
Particular gratitude is acknowledged to Uri Olegovich Nuzhdin for his help in the development of the software used in the study and to Anatoly Nikolaevich Vasilev for his contribution to data processing and analysis. We are grateful to A.U. Gorovaya and I.A. Basyula for their help in the experimental part of the study and technical installations.
Funding
This study was supported by the Foundation for Assistance to Small Innovative Enterprises in Science and Technology (Umnik Grant, project no. 11420GU/2017) and partly by the Center for Bioelectric Interfaces of Institute of Cognitive Neuroscience of the Higher School of Economics National Research University, Moscow (project no. 14.641.31.0003).
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Statement of compliance with standards of research involving humans as subjects. The experiments were performed in accordance with the statement of ethical principles for biomedical research of the Declaration of Helsinki 1964 and its subsequent updates and were approved by the local Biomedical Ethical Committee of the Biological Faculty of Moscow State University. Before participating in the research, the subjects signed a written informed consent approved by the Bioethics Committee of the Biological Faculty of Moscow State University.
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Translated by I. Matiulko
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Morozova, E.Y., Skvortsov, D.V. & Kaplan, A.Y. Learning Motor Imagery under EEG-Directed Neuromuscular Stimulation Inducing Congruent and Incongruent Wrist Movements. Hum Physiol 45, 378–382 (2019). https://doi.org/10.1134/S0362119719040121
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DOI: https://doi.org/10.1134/S0362119719040121