The Study Of Functional Brain Network Attributes Of High Anxiety Individuals' Attentional Bias To Threat Stimulus

In the increasingly rich material life of modern society,with the increasing pressure of life and the intensification of work competition,the psychological and psychiatric issues of people are becoming more and more prominent.Anxiety,as a normal emotional expression,is often ignored.If it is in a tense and anxious state of anxiety for a long time,there will be a risk of developing anxiety disorders.Even when it comes to anxiety disorders,people pay much less attention than other mental disorders.At present,anxiety disorders are difficult to be accurately diagnosed and completely cured,besides anxiety disorders and depression often have co-morbid problems,which also increases the difficulty of its pathogenesis research.In this paper,high trait anxiety(HTA)individuals and low trait anxiety(LTA)individuals were selected as subjects and controls respectively,the complex network analysis is applied to investigate the characteristics of EEG/ERP brain network of HTA individuals through psychological experiments,which is aimed to provide evidence for the diagnosis and treatment of anxiety disorders.In this study,face search and spatial clue experimental paradigm were used to record the subjects' EEG data under resting state and cognitive tasks.Synchronous likelihood algorithm was used to construct the EEG brain network under the resting state and face search task state,and the ERP brain network under the spatial cueing task,respectively.Through complex network analysis and statistical analysis,we find that the overall and nodal attributes of brain network of high trait anxiety individuals are significantly different from those with low trait anxiety under resting state and threatening stimulation:(1)In resting state,the alpha rhythm of high trait anxiety individuals decreased compared with those with low trait anxiety.The brain network of high trait anxiety individuals has a smaller clustering coefficient,but there is no significant difference in the global efficiency and the characteristic path length.Therefore,the high trait anxiety brain network has a lower degree of internal collectivization and more sparse network connections.(2)Under the stimulation of social and physiological threat,beta rhythmic brainnetwork and ERP brain network of high trait anxiety individuals have larger clustering coefficient,global efficiency and smaller characteristic path length.Under threat stimulation,the brain network connections of high trait anxiety individuals are more closely linked,and the transmission of information in their brain functional network is accelerated.Therefore,the transmission efficiency is increased correspondingly.People with high trait anxiety can pay more attention to the threat stimulation and need to mobilize more mental resources to relieve anxiety.(3)Under threat stimulation,the changes of brain network of high trait anxiety individuals are mainly distributed in the frontal and temporal regions of the brain.This paper provides a brain network analysis method based on EEG and ERP data for the study of anxiety disorder,and also provides experimental basis for the analysis of nervous mechanism of anxiety disorder.Results shown that the index of brain network attribute can be used as a diagnostic reference for anxiety disorder and provide a guarantee for its prevention and treatment.