中文摘要：

脑中风是一种常见的多发病,对于中风后的机理,到目前为止还没有完全的定论。本研究的目的是根据复杂网络的拓扑性质来研究中风患者全局脑功能网络和正常人全局脑功能网络的区别。实验中采用3 T磁共振设备采集了7个患者和6个健康人在对指运动下的功能磁共振的数据。利用DPARSF软件对数据进行处理,提取AAL模板对应90个脑区的时间序列。把每个脑区对应为一个节点,然后计算每两个时间序列之间的皮尔逊相关系数,以此构建邻接矩阵并建立网络。计算每个被试网络的全局效率、聚类系数、节点度以及节点介数,然后把患者组和健康组的参数结果平均。实验结果表明中风患者大脑的全局效率（患者组：0.496 7;健康组：0.586 9）、聚类系数（患者组：0.418 9;健康组：0.476 8）以及节点度都低于健康组;患者组节点介数存在为0的节点,而健康组没有介数为0的节点。这可能意味着中风之后患者的脑网络趋于泛化,效率降低,并存在网络断点。

英文摘要：

Stroke is a kind of common and frequently occurred disease.So far,there has been no certain conclusion of mechanism after stroke.This study aims to study the differences of topological properties in the whole brain functional network between stroke patients and the healthy controls using event related fMRI.Seven stroke patients and 6 healthy people were involved in the present study,3T MRI scanner was employed.The time series of each AAL brain region were extracted using DPARSF software.Each brain region was made as a node,and Pearson correlation was used to calculate the correlation coefficients between any two brain regions.Then an adjacency matrix was obtained and the whole brain network was established.The important parameters of network,such as global efficiency,clustering coefficient,and node degree and betweenness centrality were calculated and averaged among each group.Experimental results showed that the global efficiency（Patients： 0.496 7;Healthy： 0.586 9）,clustering coefficient（Patients： 0.418 9;Healthy： 0.476 8）,and node degree of the network for patients,were lower than those for healthy group.The betweenness centrality of patients appeared 0 in some nodes,however there was no such nodes which illustrate 0 in healthy group.It may suggest that the brain network of patients tends to a generalized network,and the efficiency of that was reduced evidently.And also it can be inferred that there are breakpoints in patients’ brain network.