皮层对慢性微电极皮层脑机接口的适应。
Cortical adaptation to a chronic micro-electrocorticographic brain computer interface.
机构信息
Department of Biomedical Engineering, Washington University, St. Louis, Missouri 63130, USA.
出版信息
J Neurosci. 2013 Jan 23;33(4):1326-30. doi: 10.1523/JNEUROSCI.0271-12.2013.
Abstract
Brain-computer interface (BCI) technology decodes neural signals in real time to control external devices. In this study, chronic epidural micro-electrocorticographic recordings were performed over primary motor (M1) and dorsal premotor (PMd) cortex of three macaque monkeys. The differential gamma-band amplitude (75-105 Hz) from two arbitrarily chosen 300 μm electrodes (one located over each cortical area) was used for closed-loop control of a one-dimensional BCI device. Each monkey rapidly learned over a period of days to successfully control the velocity of a computer cursor. While both cortical areas contributed to success on the BCI task, the control signals from M1 were consistently modulated more strongly than those from PMd. Additionally, we observe that gamma-band power during active BCI control is always above resting brain activity. This suggests that purposeful gamma-band modulation is an active process that is obtained through increased cortical activation.
摘要
脑机接口 (BCI) 技术实时解码神经信号以控制外部设备。在这项研究中，对三只猕猴的初级运动 (M1) 和背侧前运动 (PMd) 皮层进行了慢性硬膜下微电记录。使用来自两个任意选择的 300μm 电极（一个位于每个皮层区域上）的差频伽马带振幅（75-105Hz）进行一维 BCI 设备的闭环控制。每只猴子在数天的时间内迅速学会成功控制计算机光标速度。虽然两个皮层区域都对 BCI 任务有贡献，但来自 M1 的控制信号的调制强度始终比来自 PMd 的调制强度更强。此外，我们观察到在主动 BCI 控制期间，伽马频带功率始终高于静息脑活动。这表明有目的的伽马带调制是一种通过增加皮层激活获得的主动过程。
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