摘要
探索脑功能网络是揭示大脑处理情绪时潜在神经联系的重要手段,基于多变量自回归(MVAR)模型的格兰杰因果(GC)方法可分析各区域的因果特性及相互影响,现已被广泛用于脑网络的研究。本文记录了13名正常被试(6男,7女)在进行空间表情搜索任务时的脑电(EEG),通过GC方法建立特定认知阶段内不同节律下大脑区域内的因果联系模型。结果发现:(1)所有负性表情引起的时间显著性大于正性表情。(2)在alpha段,刺激出现后100～200ms的EEG信号情绪显著性最大,300～400ms和700～800ms次之。(3)alpha频段的因果调制顺序为后部脑区调制前部脑区。(4)额叶和枕区作为关键脑区参与了大脑的因果调制。(5)信息加工时存在负性偏向性,尤其表现在负性表情刺激后0～100ms。
Studying the functional network during the interaction between emotion and cognition is an important way to reveal the underlying neural connections in the brain and nowadays, it has become a hot topic in cognitive neuro science. Granger causality （GC）, based on multivariate autoregressive （MVAR） model, and being able to be used to analyse causal characteristic of brain regions has been widely used in electroeneephalography （EEG） in eventrelated paradigms research. In this study, we recorded the EEGs from 13 normal subjects （6 males and 7 females） during e motional face search task. We utilized Granger causality to establish a causal model of different brain areas under dif ferent rhythms at specific stages of cognition, and then convinced the brain dynamic network topological properties in the process of emotion and cognition. Therefore, we concluded that in the alpha band, （1） negative emotion face in duced larger causal effects than positive ones; （2） 100-200ms emotional signal was the most prominent ones while 300-400ms and 700-800ms would take the second place; （3） The rear brain region modulated the front in the process of causal modulation; （4） The frontal and pillow area involved in the brain causal modulation as a key brain area; and （5） Negative partiality existed in the information processing, especially during 0-100ms after the negative expression stimulation.
出处
《生物医学工程学杂志》
EI
CAS
CSCD
北大核心
2012年第6期1021-1026,共6页
Journal of Biomedical Engineering
基金
国家自然科学基金资助项目(61171032)
关键词
情绪
格兰杰因果
事件相关脑电
ALPHA
Emotion Granger causality （GC） Event-related electroencephalograph alpha
