Instantaneous EEG coherence based on Multivariate Autoregressive (MVAR) Model, was employed to measure the cooperation between different cortical regions during bilingual Stroop task.

• 经典的相干只考虑两道用于相干的电极位置处的信号，不关心其余位置的信息，本文对脑电信号进行多元自回归（Multivariate Autoregressive，MVAR）建模，将多道信号融合于一个多元的AR模型当中，进而估计不同位置信号之间的相干值，这样估计出的相干较经典的相干方法要更加精确一些。