A Closed-loop Brain Computer Interface to a Virtual Reality Avatar: Gait Adaptation to Visual Kinematic Perturbations.
A Closed-loop Brain Computer Interface to a Virtual Reality Avatar: Gait Adaptation to Visual Kinematic Perturbations.
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DOI：
10.1109/icvr.2015.7358598
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发表时间：
2015-06
期刊：
影响因子：
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通讯作者：
Contreras-Vidal JL
中科院分区：
文献类型：
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作者：
Luu TP;He Y;Brown S;Nakagome S;Contreras-Vidal JL
人体两足运动的控制是步态康复下半身脑机接口领域的研究热点。虽然闭环式脑机接口系统用于控制下半身外骨骼的可行性最近已经被证明，但在虚拟现实(BCI-VR)环境中对人体步态的多天闭环神经解码还没有被证明。在这项研究中，我们提出了一种实时的闭环式脑机接口，从跑步机行走时的头皮脑电(EEG)中解码出小腿关节角度，以控制虚拟化身的行走运动。此外，还引入了导致化身步态模式不对称的虚拟运动学扰动，以使用闭环系统BCI-VR系统在8天的时间内研究步态适应。我们的结果表明，在正常和变化的视觉运动扰动下，使用闭环式脑-机接口学习控制行走的化身是可行的，这涉及到大脑皮层的适应。这些发现对于开发用于中风后步态康复的BCI-VR系统以及了解闭环式BCI系统诱导的皮质可塑性具有重要意义。
The control of human bipedal locomotion is of great interest to the field of lower-body brain computer interfaces (BCIs) for rehabilitation of gait. While the feasibility of a closed-loop BCI system for the control of a lower body exoskeleton has been recently shown, multi-day closed-loop neural decoding of human gait in a virtual reality (BCI-VR) environment has yet to be demonstrated. In this study, we propose a real-time closed-loop BCI that decodes lower limb joint angles from scalp electroencephalography (EEG) during treadmill walking to control the walking movements of a virtual avatar. Moreover, virtual kinematic perturbations resulting in asymmetric walking gait patterns of the avatar were also introduced to investigate gait adaptation using the closed-loop BCI-VR system over a period of eight days. Our results demonstrate the feasibility of using a closed-loop BCI to learn to control a walking avatar under normal and altered visuomotor perturbations, which involved cortical adaptations. These findings have implications for the development of BCI-VR systems for gait rehabilitation after stroke and for understanding cortical plasticity induced by a closed-loop BCI system.