Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking.
Real-time EEG-based brain-computer interface to a virtual avatar enhances cortical involvement in human treadmill walking.
复制标题
基于脑电图的实时脑部计算机界面至虚拟化的头像增强了人类跑步机行走中的皮质参与。
DOI：
10.1038/s41598-017-09187-0
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发表时间：
2017-08-21
影响因子：
4.6
通讯作者：
Contreras-Vidal JL
中科院分区：
文献类型：
--
作者：
Luu TP;Nakagome S;He Y;Contreras-Vidal JL
非侵入性脑机接口（BCI）技术的最新进展表明，神经解码对于用户步态意图和连续运动学的可行性。然而，闭环脑机接口在人类直立行走中皮质参与的动态尚未得到研究。本研究旨在调查在有或没有 BCI 控制步行化身的情况下人类跑步机行走中皮质参与的变化。源定位揭示了有闭环 BCI 控制和无闭环 BCI 控制的行走之间皮质网络活动的显着差异。我们的结果显示后顶叶皮质和下顶叶的 α/μ 持续抑制，表明在 BCI 控制下行走期间皮质参与增加。我们还观察到低频段前扣带皮层 (ACC) 的活动显着增加，表明存在参与错误监控和运动学习的皮层网络。此外，ACC 和颞上回中低 γ 调节的存在可能与人类步态自主控制的增强有关。这项工作是朝着开发一种新颖的训练范式迈出的又一步，该范式旨在以自上而下的方法提高康复效果。
Recent advances in non-invasive brain-computer interface (BCI) technologies have shown the feasibility of neural decoding for both users’ gait intent and continuous kinematics. However, the dynamics of cortical involvement in human upright walking with a closed-loop BCI has not been investigated. This study aims to investigate the changes of cortical involvement in human treadmill walking with and without BCI control of a walking avatar. Source localization revealed significant differences in cortical network activity between walking with and without closed-loop BCI control. Our results showed sustained α/µ suppression in the Posterior Parietal Cortex and Inferior Parietal Lobe, indicating increases of cortical involvement during walking with BCI control. We also observed significant increased activity of the Anterior Cingulate Cortex (ACC) in the low frequency band suggesting the presence of a cortical network involved in error monitoring and motor learning. Additionally, the presence of low γ modulations in the ACC and Superior Temporal Gyrus may associate with increases of voluntary control of human gait. This work is a further step toward the development of a novel training paradigm for improving the efficacy of rehabilitation in a top-down approach.
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影响因子：
4.2
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通讯作者：
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