基于分层同步的脑结构和功能网络关系研究

The relationship of structural and functional brain networks via hierarchical synchronization

脑通过结构分割和功能整合达到局部专注又整体协作的工作模式,因此了解脑结构网络和功能网络之间的关系对深入理解脑活动具有重要意义.将耦合神经元群模型作为脑结构网络中的节点,其协同动力学可以重现脑神经活动的主要特征.基于模型分层同步的时间序列,构造脑功能网络并通过对比脑结构与功能网络的拓扑研究二者的关系.在猫和猿猴脑结构网络上进行的分层同步实验表明,脑结构和功能网络具有相似的连接模式,分层同步活动与结构网络的层次结构具有一致性,并基于结构网络中节点之间的相似性对二者的一致性进行了定量研究.数值试验的结果支持了脑结构网络的分层结构是脑功能分割和整合的基础,并且脑功能的整合和分割是通过神经元集群的协同活动实现的.

Benefiting from the structural segmentation and functional conformity, the cerebra can reach an ＇economical＇ work mode including both local clustering and global cooperation, which makes the relation of structural and functional network play an important role in the comprehension of cognitive ~rain activities. The collective dynamics of neural mass models coupled through structural brain network represents properties of brain activities. Based on functional brain networks derived from simulated time series, the relationship between structural and functional brain networks is investigated via comparing topologies of the two networks. The numeric results of structural networks in cats and monkeys show that the functional and structural networks display similar connecting patterns, which were also quantitively studied with the help of vertex similarity in structrua~ network~ N,,mo~; 1~ ~ ..： ：._~that the hierarchies in structural networks are the basis of functional brain activities and suggest that the functional conformity is realized via collective dynamics of neurons.