Figure 1.

cmICA factorizes the connecitivity as follows. In the Region to Region case (A), cmICA decomposes an asymmetrical connectivity matrix into independent spatial maps $s_k$ in Region A (purple, green and brown areas), with all the nodes within each spatial map $s_k$ share the similar connectivity profile $r_k$ in Region B (lighter purple, green and brown areas). The $r_k$ represents the location and strength of how $s_k$ connects to Region B. In the whole brain connectivity case (B), cmICA decomposes a symmetric connectivity matrix into independent connectivity parcels (B Right, dark blue, red, yellow, blue and dark green areas). In this case $s_k$ can be highly correlated with $r_k$. Each intracomponent connectivity network can be computed by $r_k{s}_k^T$, and the cmICA segments can overlap (purple, orange and green dots in Figure 1B Right), representing the crossing regions in different connectivity networks. [Color figure can be viewed in the online issue, which is available at http://wileyonlinelibrary.com.]