基于有向网络的人物信息诱发脑电信号特征

EEGs Feature Induced by Person's Information Based on Directed Network

基于熟人和陌生人的视听觉信息,通过记录对应的脑电信号,对大脑在熟人和陌生人信息刺激下的认知机制展开研究.首先,通过记录被试在视听刺激下的脑电信号,得到对应不同刺激下的事件相关脑电位.通过计算不同导联间的相位传递熵构建有向功能网络,最后对重点网络参数进行分析.结果表明,相比陌生人信息诱发的有向网络,熟人信息诱发网络中关键节点的作用加强,网络聚集能力增强;熟人信息诱发网络的连接更加趋向于全脑化,不同脑区间的信息交换加强,整个网络结构更有利于完成对熟人信息的识别.

Based on the visuo-auditory information of acquaintances and strangers, the possible differences of the cognitive mechanisms were studied by recording EEG signals.Firstly, the ERP signals for different stimuli types were obtained by recording the EEG signals of visuo-auditory stimuli.Then, the directed functional network was constructed by calculating the phase transfer entropy.Finally, network parameters for the key connection were analyzed.The results show that compared with the directed network induced by unfamiliar information, the role of key nodes in the network of familiar information is strengthened, as well as the aggregation ability.The connections of the familiar network tend to be more global, and the information exchange between different brain regions are increased, which is good for the identification of the familiars.