Gharabaghi Alireza
Division of Functional and Restorative Neurosurgery, and Centre for Integrative Neuroscience, Eberhard Karls University Tuebingen Tuebingen, Germany.
Front Neurosci. 2016 Oct 13;10:456. doi: 10.3389/fnins.2016.00456. eCollection 2016.
Brain-machine interfaces (BMI) may support motor impaired patients during activities of daily living by controlling external devices such as prostheses (assistive BMI). Moreover, BMIs are applied in conjunction with robotic orthoses for rehabilitation of lost motor function via neurofeedback training (restorative BMI). Using assistive BMI in a rehabilitation context does not automatically turn them into restorative devices. This perspective article suggests key features of restorative BMI and provides the supporting evidence: In summary, BMI may be referred to as restorative tools when demonstrating subsequently (i) operant learning and progressive evolution of specific brain states/dynamics, (ii) correlated modulations of functional networks related to the therapeutic goal, (iii) subsequent improvement in a specific task, and (iv) an explicit correlation between the modulated brain dynamics and the achieved behavioral gains. Such findings would provide the rationale for translating BMI-based interventions into clinical settings for reinforcement learning and motor rehabilitation following stroke.
脑机接口(BMI)可通过控制诸如假肢等外部设备,在日常生活活动中为运动功能受损患者提供支持(辅助性BMI)。此外,BMI还与机器人矫形器结合使用,通过神经反馈训练来恢复丧失的运动功能(恢复性BMI)。在康复环境中使用辅助性BMI并不会自动将其转变为恢复性设备。这篇观点文章提出了恢复性BMI的关键特征并提供了支持证据:总之,当BMI随后表现出以下几点时,可被称为恢复性工具:(i)操作性学习和特定脑状态/动态的渐进演变;(ii)与治疗目标相关的功能网络的相关调制;(iii)特定任务的后续改善;(iv)调制的脑动态与实现的行为改善之间的明确关联。这些发现将为将基于BMI的干预措施转化为中风后强化学习和运动康复的临床环境提供理论依据。