Liburkina S P, Vasilyev A N, Kaplan A Ya, Ivanova G E, Chukanova A S
Lomonosov Moscow State University, Moscow, Russia.
Pirogov Russian National Research Medical University, Moscow, Russia.
Zh Nevrol Psikhiatr Im S S Korsakova. 2018;118(9. Vyp. 2):63-68. doi: 10.17116/jnevro201811809263.
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.
研究运动功能障碍患者在脑机接口(BCI)的运动想象任务期间的脑电活动,以确定在医学康复中使用基于BCI的意向性运动训练的最佳方法。
该研究纳入了26例由中风或脊髓损伤导致手臂运动功能障碍的患者。他们参与了BCI中的运动想象训练。测量了不同手臂运动想象期间脑电图(EEG)事件相关去同步化的功率和定位。评估了双指令BCI的准确性。
与想象相关的EEG去同步化模式显示了此类任务的典型定位。尽管运动功能障碍患者在运动想象期间的EEG反应功率平均低于健康受试者在类似任务中的功率,但所有患者在经过几次(至少三次)训练后都能够在双指令BCI系统中达到高精度。我们的结果证明了使用基于BCI的运动想象训练对运动功能障碍患者进行神经康复的巨大潜力。