大学生焦虑人群情绪冲突反应的脑功能网络研究

利用基于图论的复杂网络分析方法,对脑网络的拓扑结构和属性进行分析,探讨大学生焦虑人群情绪冲突反应的脑功能网络特点。选取焦虑组和正常对照组各16名志愿者,进行情绪词-面孔stroop冲突任务,同步记录64导脑电(EEG)数据。分别对beta(14～30 Hz)和高gamma(50～80 Hz)节律的EEG数据进行同步似然分析,选择合适阈值构建脑网络拓扑结构,并计算网络的节点度和聚类系数。结果显示,在beta和高gamma节律中,焦虑组额叶、颞叶及顶叶等脑区存在异常连接,额叶和顶叶的节点度均小于正常组的数值(P <0. 05),而颞叶的节点度均高于正常组的数值(P <0. 05)(如在beta节律,焦虑组额叶FP1、顶叶CP1和颞叶T7电极处的节点度分别是5. 21±0. 62、6. 25±0. 53、7. 91±0. 71,而正常组的节点度分别为10. 42±1. 53、7. 94±0. 55、3. 55±0. 36),表明焦虑人群额顶叶功能减弱而颞叶功能异常增强;焦虑组脑网络的聚类系数低于正常组的值(P <0. 05)(焦虑组beta和高gamma节律的聚类系数分别是...

Study on Brain Function Network of Emotional Conflict Response inCollege Students with Anxiety

The aim of this work is to analyze the topological structure and properties of brain network with complex network analysis method based on graph theory exploring the characteristics of brain functional network in emotional conflict response on anxious population of college students. Sixteen volunteers in the anxiety group and the normal control group were selected for the emotional word-face stroop conflict task, and 64 EEG were recorded simultaneously. The EEG data with beta(14 ～ 30 Hz) and high gamma(50 ～ 80 Hz) were analyzed by synchronous likelihood analysis, and the appropriate threshold value was selected to construct the brain network topology, and the node degree and clustering coefficient of the network were calculated. Results showed that in beta and high-gamma rhythms, there were abnormal connections in the brain areas including frontal lobe, temporal lobe, and parietal lobe in anxiety group, and the node degree of frontal lobe and parietal lobe was lower than that of normal group (P<0.05), while the node degree of temporal lobe was higher than that of the normal group (P<0.05)(in beta rhythm,the node degrees of the frontal FP1, parietal CP1 and temporal T7 electrodes were 5.21±0.62, 6.25±0.53, 7.91±0.71 respectively in anxiety group and 10.42±1.53, 7.94±0.55, 3.55±0.36 in the normal group, indicating that the function of frontal lobe and parietal lobe were decreased in the anxiety group, while the function of temporal lobe was increased. The clustering coefficient of the brain network in the anxiety group was lower than that in the normal group (P<0.05) (the clustering coefficients of beta and high gamma rhythm in anxiety group were 0.523 8±0.039 2 and 0.586 4±0.055 8, respectively, while those in normal group were0.603 2±0.071 1 and 0.664 7±0.060 1), which indicated that the degree of internal clustering of the brain network in the anxious group and the information transmission ability of the network were decreased. This study can provide a new perspective for the neural mechanism research of psychological and mental diseases such as anxiety and depression.