Blind Separation of Event-Related Brain Responses into Independent Components
Blind Separation of Event-Related Brain Responses into Independent Components
复制标题
将事件相关的大脑反应盲目分离成独立的部分
DOI：
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发表时间：
1996
期刊：
影响因子：
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通讯作者：
T. Sejnowski
中科院分区：
文献类型：
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作者：
S. Makeig;T. Jung;A. J. Bell;D. Ghahremani;T. Sejnowski
摘要：基于血流变化的脑活动功能成像并不能提供不同脑区神经活动短暂爆发的相对时间信息。来自头皮的多通道电或磁记录提供高时间分辨率，但不容易分解为多个大脑网络的单独活动。在这里，我们报告了一种方法，用于盲分离的事件相关的大脑反应到空间上固定和时间上独立的子组件使用独立分量分析算法。应用于听觉检测任务的脑电图反应，每个最活跃的识别源占全部或部分先前识别的反应成分。这种时空分解对传感器和输入数据长度的变化是鲁棒的，并且在受试者中是稳定的。该方法可用于评估认知任务期间大脑网络中事件相关活动的时间，强度和稳定性，而无论源位置如何。
Abstract : Functional imaging of brain activity based on changes in blood flow does not supply information about the relative timing of brief bursts of neural activity in different brain areas. Multichannel electric or magnetic recordings from the scalp provide high temporal resolution, but are not easily decomposed into the separate activities of multiple brain networks. We report here a method for the blind separation of event-related brain responses into spatially stationary and temporally independent subcomponents using an Independent Component Analysis algorithm. Applied to electroencephalographic responses from an auditory detection task, each of the most active identified sources accounted for all or part of a previously identified response component. This spatiotemporal decomposition was robust to changes in sensors and input data length, and was stable within subjects. The method can be used to assess the timing, strength, and stability of event-related activity in brain networks during cognitive tasks, regardless of source location.