摘要
利用复杂网络分析方法对脑网络的拓扑结构和属性进行分析,探讨高特质焦虑个体情绪注意偏向的脑功能机制。选取高特质性焦虑(HTA)和低特质性焦虑(LTA)各15名被试,进行3种情绪面孔表情(高兴、中性和愤怒)的搜索任务,同步记录64导脑电(EEG)。对EEG数据进行同步似然分析,计算网络的整体属性参数(全局效率、聚类系数和特征路径长度)及节点属性参数(节点度)。组内统计分析显示,HTA和LTA两组被试均表现为,愤怒面孔搜索任务下额叶与颞叶节点度、聚类系数及全局效率明显大于其高兴面孔和中性面孔的值,而特征路径长度小于高兴面孔和中性面孔的值。组间统计结果表明,3种面孔搜索任务下HTA组额叶与颞叶节点度值均明显大于LTA组的值,尤其是愤怒面孔搜索任务下二组的差异更加明显(P<0.001);愤怒面孔搜索任务下,HTA组被试的节点属性参数及整体属性参数均与LTA组有显著差异,而高兴面孔和中性面孔搜索任务下,HTA组被试仅节点属性参数与LTA组有显著差异,整体属性参数无显著差异。以上结果表明,HTA个体对情绪信息(尤其是负性情绪信息)更加敏感,其神经机制可能与额、颞叶活动及脑网络信息传输能力异常增强有关。本研究从脑网络水平探讨了HTA个体情绪认知的脑功能特点,可为焦虑症、抑郁症等精神障碍的认知功能神经机制研究提供新视角。
The topological structure and attributes of brain network are analyzed by the complex network analysis method to explore the brain function mechanism of emotional attention bias in individuals with high trait anxiety.Fifteen volunteers with high trait anxiety(HTA)and 15 volunteers with low trait anxiety(LTA)are selected to perform the task of searching for three emotional faces(happy,neutral and angry),and 64-channel electroencephalogram(EEG)is recorded simultaneously.Synchronous likelihood analysis is performed on EEG,the overall attribute parameters(global efficiency,clustering coefficient and characteristic path length)and node attribute parameters(node degree)of the network are calculated.The intra-group statistical analysis shows that in both the HTA and LTA groups,the node degrees of frontal and temporal lobe,clustering coefficient and global efficiency under angry face search task are significantly larger than the values of happy and neutral faces,while the characteristic path length is smaller than those of happy and neutral faces.The statistical analysis between groups shows that the node degrees of frontal and temporal lobe in HTA group are significantly larger than those in LTA group under the three face search tasks.In particular,the difference between the HTA and LTA groups is more obvious(P<0.001)under the angry face search task.Both the node attribute parameters and the overall attribute parameters of the HTA group are significantly different from those of the LTA group under the anger face search task,while there is significant difference only in node attribute parameters(not in the overall attribute parameters)between the HTA and LTA groups under happy and neutral face search tasks.As a result,HTA individuals are sensitive to emotional(especially negative emotional)information,the neural mechanism may be related to enhanced activity of frontal and temporal lobes and enhanced activity of brain network information transmission.This study explores the brain function characteristics of emotional cogn
作者
季淑梅
荀兴苗
步鑫鑫
刘庆
黎捷
许全盛
Ji Shumei;Xun Xingmiao;Bu Xinxin;Liu Qing;Li Jie;Xu Quansheng(Institute of Health Technology,Yanshan University,Qinhuangdao 066004;Institute of Biomedical Engineering,Yanshan University,Qinhuangdao 066004)
出处
《高技术通讯》
CAS
2021年第4期350-358,共9页
Chinese High Technology Letters
基金
国家自然科学基金(61573305)
河北省自然科学基金(F2019203569)资助项目。
关键词
特质焦虑
情绪识别
注意偏向
脑网络
同步似然分析
trait anxiety
emotion recognition
attention bias
brain network
synchronous likelihood analysis
