利用相位同步聚类方法研究大脑功能连通性

Phase Synchronization Cluster Analysis for Brain Functional Connectivity

功能连通性是指大脑不同区域的神经细胞群活动之间的瞬时相干性,最常用的方法是估计成对电极信号之间的相关或相干。本文基于相位同步聚类方法,利用头表脑电信号,估计全局功能连通性。应用到空间选择性注意实验的视觉诱发脑电数据中,结果表明,该方法能检测到三个连通源,并且在注意和非注意状态下,功能连通性具有明显的差异。

Functional connectivity is defined as the temporal coherence between activities of different brain areas. One of the most useful methods to estimate functional connectivity is cross-correlation or coherence of the signals between pairs of scalp electrodes. The multivariate phase synchronization cluster approach is proposed in this paper to estimate the global connectivity based on the scalp EEG waveforms. The analyses of real VEPs data related to human spatial selective attention study show that three connectivity sources can be detected and the difference of connectivity between attention and inattention experiments is quite distinct.