利用自举法与相干矢量虚部研究脑电信号的连通性

Connectivity of electroencephagraphic activities with bootstrap and imaginary part of the coherence

多导联脑电信号之间的连通性分析有助于了解脑的不同分区之间的信息交互。为了研究实验任务引起的脑区之间的连通性,提出了一种结合自举法与相干矢量虚部的统计分析方法,并用于研究左、右手运动想象任务中的信息交互。结果表明:在单侧的运动想象任务中,辅助运动皮层与对侧的运动前区及初级运动感觉皮层具有广泛的联结关系,同时提示受试是采用具有肌肉感觉的运动想象模式。该方法简洁、意义明确,可以进一步应用在脑-机接口及事件相关电位的研究中。

Analyses of the connectivity among electroencepha- graphic （EEG） time series can facilitate the understanding of the interactions between cerebral functional areas. A method based on the bootstrap and an imaginary part of the coherence was developed to analyze the connectivity and the information propagation during motor imagery. The results describing the information flow between the supplementary motor area （SMA）, the contralateral premotor cortex （PMC）, and the primary sensorimotor area （M1/S1） show that the subjects use kinetic motor imagery. The method is quite simple and effective, and can be further applied for connectivity studies of brain-computer interfaces and event-related potential.