Institute of Medical Psychology and Behavioral Neurobiology and MEG Center, University of Tubingen, Tübingen, Germany.
PLoS One. 2012;7(10):e47048. doi: 10.1371/journal.pone.0047048. Epub 2012 Oct 5.
Brain computer interface (BCI) technology has been proposed for motor neurorehabilitation, motor replacement and assistive technologies. It is an open question whether proprioceptive feedback affects the regulation of brain oscillations and therefore BCI control. We developed a BCI coupled on-line with a robotic hand exoskeleton for flexing and extending the fingers. 24 healthy participants performed five different tasks of closing and opening the hand: (1) motor imagery of the hand movement without any overt movement and without feedback, (2) motor imagery with movement as online feedback (participants see and feel their hand, with the exoskeleton moving according to their brain signals, (3) passive (the orthosis passively opens and closes the hand without imagery) and (4) active (overt) movement of the hand and rest. Performance was defined as the difference in power of the sensorimotor rhythm during motor task and rest and calculated offline for different tasks. Participants were divided in three groups depending on the feedback receiving during task 2 (the other tasks were the same for all participants). Group 1 (n = 9) received contingent positive feedback (participants' sensorimotor rhythm (SMR) desynchronization was directly linked to hand orthosis movements), group 2 (n = 8) contingent "negative" feedback (participants' sensorimotor rhythm synchronization was directly linked to hand orthosis movements) and group 3 (n = 7) sham feedback (no link between brain oscillations and orthosis movements). We observed that proprioceptive feedback (feeling and seeing hand movements) improved BCI performance significantly. Furthermore, in the contingent positive group only a significant motor learning effect was observed enhancing SMR desynchronization during motor imagery without feedback in time. Furthermore, we observed a significantly stronger SMR desynchronization in the contingent positive group compared to the other groups during active and passive movements. To summarize, we demonstrated that the use of contingent positive proprioceptive feedback BCI enhanced SMR desynchronization during motor tasks.
脑机接口 (BCI) 技术已被提出用于运动神经康复、运动替代和辅助技术。本体感觉反馈是否影响脑振荡的调节,从而影响 BCI 控制,这是一个悬而未决的问题。我们开发了一种与机器人手外骨骼在线耦合的 BCI,用于弯曲和伸展手指。24 名健康参与者执行了五种不同的手部闭合和张开任务:(1)手部运动的想象,没有任何明显的运动和反馈,(2)运动想象与运动的在线反馈(参与者看到并感觉到他们的手,外骨骼根据他们的脑信号移动,(3)被动(矫形器被动地打开和关闭手,没有想象)和(4)主动(明显)手部运动和休息。表现定义为运动任务和休息期间感觉运动节律的功率差异,并离线计算不同任务的表现。参与者根据任务 2 期间收到的反馈(所有参与者的其他任务相同)分为三组。第 1 组(n=9)接受了有条件的正反馈(参与者的感觉运动节律 (SMR) 去同步直接与手矫形器运动相关联),第 2 组(n=8)接受了有条件的“负”反馈(参与者的感觉运动节律同步直接与手矫形器运动相关联),第 3 组(n=7)接受了假反馈(脑振荡和矫形器运动之间没有联系)。我们观察到本体感觉反馈(感觉和看到手部运动)显著提高了 BCI 的性能。此外,在有条件的正反馈组中,只有在没有反馈的情况下,在时间上进行运动想象时,才观察到显著的运动学习效果,增强了 SMR 去同步。此外,与其他组相比,在主动和被动运动期间,有条件的正反馈组观察到 SMR 去同步的强度明显增强。总之,我们证明了使用有条件的正本体感觉反馈 BCI 增强了运动任务期间 SMR 去同步。