探索脑机接口-虚拟现实混合神经康复系统的协同作用

S. Bermúdez i Badia, Hani Samaha, A. G. Morgade, P. Verschure
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引用次数: 14

摘要

中风是导致成人残疾的主要原因之一,具有很高的经济和社会成本。在过去的几年里,新的康复范式被提出,利用大脑的终身可塑性来恢复运动功能。我们开发了一种BCI-VR混合系统,该系统探索了将VR环境中的个性化运动训练(利用大脑机制执行和观察动作)和神经反馈范式(使用心理图像)相结合的想法,作为一种利用次级或间接途径访问未受损皮质-脊髓轨道的方式。本文给出了系统的开发和验证实验。9例naïve健康受试者的脑电图数据表明,同时运动动作和运动意象范式在更大范围内更有效地参与皮层运动网络。此外,我们还在另外9名健康受试者身上测试并验证了我们系统的运动图像驱动BCI-VR版本。结果表明,用户能够在运动训练任务中控制虚拟化身,并根据用户的能力动态调整其难度。用户自我报告问卷表明,他们喜欢和接受拟议的系统。
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Exploring the synergies of a hybrid BCI - VR neurorehabilitation system
Stroke is one of the leading causes of adult disability with a high economical and societal cost. In the last years, novel rehabilitation paradigms have been proposed to make use of the life-long plasticity of the brain to regain motor function. We have developed a hybrid BCI-VR system that explores the idea of combining a personalized motor training in a VR environment - exploiting brain mechanisms for action execution and observation - and a neuro-feedback paradigm - using mental imagery - as a way to engage secondary or indirect pathways to access undamaged cortico-spinal tracks. Here we present the development and validation experiments of the system. The EEG data on 9 naïve healthy subjects shows that a simultaneous motor action and motor imagery paradigm is more effective in engaging cortical motor networks to a larger extend. In addition, we have tested and validated a motor imagery driven BCI-VR version of our system with 9 additional healthy subjects. The results show that users are capable of controlling a virtual avatar in a motor training task that dynamically adjusts its difficulty to the capabilities of the user. User self-report questionnaires indicate enjoyment and acceptance of the proposed system.
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