Fig. 1.

Between subject clustering of network amplitude correlation matrix. The cluster tree at the top (A) clearly separates the networks into two distinct clusters. For display here in B and C, each grayordinate was assigned to one of the 25 networks determined by the maximum value for the grayordinate across the group ICA maps. These “find-the-biggest” maps were then separated into two maps based on the cluster tree, to show the 14 primary sensory/motor networks on the left and the 11 cognitive networks on the right. The network x network between subject correlation matrix (r) is shown at the bottom (D) and reveals positive correlations within each of the two cluster groups (i.e., between networks in the primary sensory/motor cluster and between networks in the cognitive cluster).