Send to

Choose Destination
Zh Nevrol Psikhiatr Im S S Korsakova. 2018;118(9. Vyp. 2):63-68. doi: 10.17116/jnevro201811809263.

[Brain-computer interface-based motor imagery training for patients with neurological movement disorders].

[Article in Russian; Abstract available in Russian from the publisher]

Author information

Lomonosov Moscow State University, Moscow, Russia.
Pirogov Russian National Research Medical University, Moscow, Russia.


in English, Russian


To study the electric brain activity during motor imagery task in the brain-computer interface (BCI) in motor-disabled patients to determine the optimal ways for using BCI-based ideomotor training in medical rehabilitation.


The study included 26 patients with arm motor dysfunction caused by a stroke or a spinal cord injury. They were involved in motor imagery training in the BCI. The power and localization of electroencephalographic (EEG) event-related desynchronization during imagery of different arm movements were measured. The accuracy in the two-command BCI was assessed.


The pattern of imagery-related EEG desynchronization showed the typical localization for such tasks. Despite the fact that the power of EEG reactions during motor imagery in motor-disabled patients was on average lower than in healthy subjects during a similar task, all the patients were able to achieve high accuracy in the two-command BCI system after several (at least three) training sessions. Our results demonstrate the great potential for using BCI-based motor imagery training for neurorehabilitation of patients with motor dysfunctions.


EEG; brain—computer interface; event-related desynchronization; ideomotor training; motor imagery; mu rhythm; rehabilitation; stroke

Supplemental Content

Loading ...
Support Center