Largi-scale Brain Network Analysis of High Altitude Hypoxia

In view of the limitations of current processing of altitude data, i.e., extracting simple eigenvalues such as rhythm and energy values of electroencephalogram (EEG) signals, we considered the brain as an interconnected network, combined rhythm and energy with largbscale brain network, and explored the brain damage caused by hypoxia from a new perspective. Relevant research was conducted on residents who have lived at alttudes of 400, 2890, 3600 and 4500 m for two years. The scalp energy was estmated on the basis of the resting EEG sgnal, the network-based source localization technology was used to obtain the cortical current density under seven rhythms, and the energy values of the eight large-scale brain networks were obtained according to the area covered by each network. The one-way analysis of variance was performed on the energy of large-scale brain networks at different altitudes. The experimental results show that the large-scale brain network exhibts significant difference between different altitude and the brain network energy of deep structure in 4 500 m is significantly reduced under θ, α₁, β₁ and β₂ rhythms. The brain network energy of visual network and iimbic under the α₁ and β₂ rhythms, and the default network under the α₁ rhythm are all characterzed by a significant increase in 3600 m and a significant decrease in 4500 m. In addition, the energy value mcreases with the increase of altitude, but the energy value at the highest altitude is the lowest, so it is speculated that there exists a threshold of the alttude nfluence on brain functon.