Figure.

Pearson correlations (edges) between all pairs of GM regions (nodes) for a group of subjects. Here the rows/columns denote the nodes, and the warmer colors represent the greater edge weights/connectivity between the nodes. The colored matrices (left column) here show the weighted undirected network, where the edges are associated with the strength of the connection and are undirected (ie, if node j is connected to node k, then node k is also connected to node j), resulting in a symmetric connectivity matrix. The black-white matrices are binary undirected networks, where edges are either 0 or 1, indicating the absence or presence of a connection, and they have no directionality. Nodal correlations are proportional to longer path length. MS-CI shows a warmer matrix than MS-CP or HC.