Analysis Of Significant Differences In Brain Network Based On EEG Plateau Hypoxia

China has a vast plateau,and in recent years,more and more people have traveled or worked in the plateau area.The characteristics of the plateau are high altitude,low pressure and low oxygen.The most serious impact on people is hypoxia,which can damage the human brain.Cognitive function is manifested by short-term memory,decreased visual and auditory perception,impaired executive control function,and impaired ability to switch attention.Therefore,it is of great significance to study brain damage caused by long-term hypoxia.EEG technology(electroencephalogram,EEG)has a high temporal resolution,which can quickly capture fast and dynamic cognitive events that occur in milliseconds;EEG signals are also multi-dimensional and has five-dimensional information,including time,space,frequency,power and Phase and so on,and its low cost,ease of operation and portability are deeply loved by researchers.But the disadvantage of EEG is that the spatial resolution is low and it is impossible to give brain images.At present,people often use EEG technology to analyze whether the electroencephalogram of the plateau data is abnormal,to judge the rhythm value of the electroencephalogram signal,and to calculate whether the signal energy value is different.In view of the current problem that the processing of plateau data is limited to extracting some simple eigenvalues without in-depth research in the brain,this article will discuss the damage caused by hypoxia to the brain from a completely new perspective.Combined with oxygen,the resting EEG signals of residents who moved to an altitude of 400 m,2890m,3600 m and 4500 m for two years are studied.Using the spatial distribution of the eight large-scale brain networks obtained by the resting state f MRI study as a priori information,the energy distribution of the eight large-scale brain networks are obtained to explore related brain function damage.In addition,by analyzing the task state EEG data,the effect of hypoxia on the cognitive processing of the human brain is further studied.The brain is regarded as a complex network,and a method for constructing a multi-feature functional brain network based on power and phase is proposed.The global and local attributes of the brain network look for differences between different altitudes,so as to summarize the impairment of cognitive function and the core nodes of significant differences in high altitude subjects.The specific content includes:(1)Analyze the behavioral data of the four altitudes reading and color discrimination stages under the Stroop experimental paradigm,including indicators such as average response time and average correct rate,and introduce the information transfer rate(ITR)indicator to evaluate the rate of information transmission of subject’s brains,and find that the speed of reading words faster than the color naming speed.(2)Explore the related brain function damage caused by hypoxia from the perspective of large-scale brain networks.Estimate the energy of the scalp based on the resting EEG signal,obtain the current density of the cortex using source localization technology,and then count the electrical activity intensity of each large-scale brain network on 7 rhythms.Finally,one-way analysis of variance is performed on the energy values of large-scale brain networks at different altitudes.It is found that there are significant differences in multiple large-scale brain networks under θ,α1,β1 and β2 rhythms,and it is speculated that there is a threshold for the influence of altitude on the human brain.(3)To construct a multi-feature functional brain network,first extract the power and phase eigenvalues of the EEG signal of each channel and form a feature vector,use the feature vector of each channel as the node of the network,and use the correlation coefficient between the feature vectors as the edge of the network.Then a multi-feature complex network with different rhythms at different stages can be obtained.By analyzing multiple global and local attribute indicators of the brain network constructed,it is found that subjects with different altitudes have significant differences in multiple network attributes under different rhythms.It is speculated that long-term hypoxia affected the efficiency of brain task execution,which impaired the cognitive processing ability of subjects at high altitude.