一种基于fMRI数据的脑功能网络构建方法

Method for constructing brain functional networks based on fMRI data

人脑可以用复杂网络方法进行定量分析。为了研究基于功能磁共振成像数据来构建脑功能网络,首先,用标准脑模板将全脑分割成90个功能区域,每个区域定义为一个网络节点;然后,用脑区的平均时间序列来计算相关系数,网络节点间是否有边相连取决于其相关水平;最后,生成一系列不同网络密度的无向无权图,用来分析网络统计特性。结果表明,所构建的网络具有小世界拓扑结构。该脑功能网络的构建方法可以应用在某些认知障碍的临床诊断上。

The human brain can be explored by the quantitative analysis of complex networks.To construct brain functional networks derived from fMRI,divided the whole brain into 90 functional regions using the anatomically labelled template,and defined each brain area as a network node;then estimated functional connectivity by calculating the correlation between the mean time series of each pair of brain regions;thresholded the resulting connectivity matrix to generate a set of undirected binary graphs and further analyzed topological parameters.The results demonstrate that the human brain functional networks have robust small-world properties.The proposed method can be applied to some of the clinical diagnosis of cognitive impairment.