Figure 1.

Flowchart of our proposed method. (A) High power voxels are selected, (B) voxels belong to each region of interest of CC200 map are clustered together and represented by their cluster centers, (C) edges of the network are formed based on the correlations of average fMRI signals of the clusters, (D,E) inter network distances are computed in two steps. First, for a pair of networks a node to node distance matrix is computed. Next, each node of the network with fewer node count is assigned to a node of the second network using Munkres algorithm such that total matching distance is minimized. (F) MDS is used to form a spatial configuration of the subjects on a low dimensional space based on the inter-graph distance measures, (G) classification is performed in the projected space.