多层脑功能网络与单层脑功能网络的对比研究OA北大核心CSTPCD

To explore the connections and differences between multilayer brain functional network and single-layer brain functional network,the resting-state functional magnetic resonance imaging(rs-fMRI)data of 34 healthy individuals were collected.The single-layer network and multilayer network model were constructed respectively,and community detection was performed.The differences in module division,the connections between network topology metrics and classification of brain nodes were analyzed between multilayer brain functional network and single-layer brain functional network.Research results show that the quantity and quality of modules in the multilayer network are significantly higher than those in the single-layer network.There are significant correlations between the network topology metrics of the two models.The multilayer network divides the brain nodes into 21 provincial hubs,49 connector non-hubs and 20 peripheral non-hubs.It is shown that the multilayer network has unique advantages in the study of brain dynamics.The multilayer network reveals the modular characteristics of brain functions and provides important ideas and methods for in-depth understanding of brain dynamics.