Description of AHMO and random seeding method.

AHMO applies voxel-level modularity optimization for each individual region in an anatomical atlas, while random seeding method assigns pre-defined number of seeds to random location within a region and grows the seeds with maximally uniform size until the whole region is populated with the seed clusters (Zalesky et al., 2010). Colors for visualization were selected by algorithm developed by the BrainCOLOR project (http://www.braincolor.org/). Note that AHMO maintains the initial AAL ROI contiguity.