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利用顶叶伸手区域的神经信号进行认知驱动的脑机控制。

Cognitively driven brain machine control using neural signals in the parietal reach region.

作者信息

Hwang Eun Jung, Andersen Richard A

机构信息

California Institute of Technology, Pasadena, CA 91125, USA.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2010;2010:3329-32. doi: 10.1109/IEMBS.2010.5627277.

Abstract

This study demonstrates that the spiking and local field potential (LFP) activity in the parietal reach region (PRR) of the macaque monkey can be jointly used to control the location of the computer cursor when the correct target location must be inferred symbolically, e.g., leftward arrow for the leftward target, etc. The average correct target acquisition rate during this brain machine control task without actual movements was 86% for the six discrete target locations when using spikes and LFPs from 16 electrodes. This performance was significantly better than using spikes or LFPs alone. These results, together with our previous findings, suggest that a single decoder based on both spikes and LFPs in PRR can robustly provide the subjects' motor intent under varying contexts for neural prosthetic applications.

摘要

本研究表明,当必须以符号形式推断正确的目标位置时,例如向左箭头表示向左目标等,猕猴顶叶够物区域(PRR)中的尖峰活动和局部场电位(LFP)活动可共同用于控制计算机光标的位置。在这个无实际动作的脑机控制任务中,当使用来自16个电极的尖峰信号和局部场电位时,六个离散目标位置的平均正确目标获取率为86%。这一表现明显优于单独使用尖峰信号或局部场电位。这些结果与我们之前的发现一起表明,基于PRR中尖峰信号和局部场电位的单一解码器能够在不同情境下为神经假体应用稳健地提供受试者的运动意图。

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