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脑机接口与自然运动的并发控制。

Concurrent control of a brain-computer interface and natural overt movements.

机构信息

Department of Bioengineering, Imperial College London, London, United Kingdom. Bernstein Center and Brain-Links Brain-Tools, University of Freiburg, Freiburg, Germany.

出版信息

J Neural Eng. 2018 Dec;15(6):066021. doi: 10.1088/1741-2552/aadf3d. Epub 2018 Oct 10.

Abstract

OBJECTIVE

A primary control signal in brain-computer interfaces (BCIs) have been cortical signals related to movement. However, in cases where natural motor function remains, BCI control signals may interfere with other possibly simultaneous activity for useful ongoing movement. We sought to determine if the brain could learn to control both a BCI and concurrent overt movement execution in such cases.

APPROACH

We designed experiments where BCI and overt movements must be used concurrently and in coordination to achieve a 2D centre out control. Power in the 70-90 Hz band of human electrocorticography (ECoG) signals, was used to generate BCI control commands for vertical movement of the cursor. These signals were deliberately recorded from the same human cortical site that produced the strongest movement related activity associated with the concurrent overt finger movements required for the horizontal movement of the cursor.

MAIN RESULTS

We demonstrate that three subjects were able to perform the concurrent BCI task, controlling BCI and natural movements simultaneously and to a large extent independently. We conclude that the brain is capable of dissociating the original control signal dependency on movement, producing specific BCI control signals in the presence of motor related responses from the ongoing overt behaviour with which the BCI signal was initially correlated.

SIGNIFICANCE

We demonstrate a novel human brain-computer interface (BCI) which can be used to control movement concurrently and in coordination with movements of the natural limbs. This demonstrates the dissociation of cortical activity from the behaviour with which it was originally associated despite the ongoing behaviour and shows the feasibility of achieving simultaneous BCI control of devices with natural movements.

摘要

目的

脑机接口(BCI)中的主要控制信号一直是与运动相关的皮质信号。然而,在自然运动功能仍然存在的情况下,BCI 控制信号可能会干扰其他可能同时发生的活动,从而影响有用的持续运动。我们试图确定在这种情况下,大脑是否能够学会控制 BCI 和同时进行的显性运动。

方法

我们设计了实验,其中 BCI 和显性运动必须同时协调使用,以实现 2D 中心外控制。人类脑电图(ECoG)信号的 70-90Hz 频段的功率被用来生成控制光标垂直运动的 BCI 控制命令。这些信号是从产生与光标水平运动所需的同时显性手指运动相关的最强运动相关活动的同一人类皮质部位故意记录下来的。

主要结果

我们证明了三名受试者能够同时执行并发的 BCI 任务,同时且在很大程度上独立地控制 BCI 和自然运动。我们的结论是,大脑能够将原始控制信号与运动的依赖性分离,在与最初相关联的显性行为存在运动相关反应的情况下,产生特定的 BCI 控制信号。

意义

我们展示了一种新的人类脑机接口(BCI),可以用于与自然肢体的运动同时且协调地控制运动。这表明尽管存在持续的行为,但皮质活动可以从最初与之相关的行为中分离出来,并且显示了使用自然运动同时实现设备的 BCI 控制的可行性。

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