We constructed the functional brain networks for each individual using two methods, differentiated according to the node definition, as either a region- or voxel-based network. 1) The region-based networks were constructed following the following manner. First, the AAL atlas was used to parcellate the entire brain into 90 regions (regions in cerebellum were excluded), which were considered as nodes in the network. Then, the mean time courses were extracted from each region and used to obtain a 90×90 correlation matrix of Pearson’s correlation coefficients between all possible connections of node pairs. 2) The voxel-based networks were constructed by directly considering GM voxels as nodes. The Pearson’s correlation coefficients were then computed between the time courses of all pairs of voxels to generate a ∼50,000×50,000 correlation matrix. All correlation matrices were transferred into z-score matrices using Fisher’s r-to-z transformation to improve normality.
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