Delineation of large-scale functional networks (FNs) from resting state functional MRI data
has become a standard tool to explore the functional brain organization in neuroscience.
However, existing methods sacrifice subject specific variation in order to maintain the across-
subject correspondence necessary for group-level analyses. In order to obtain subject
specific FNs that are comparable across subjects, existing brain decomposition techniques
typically adopt heuristic strategies or assume a specific statistical distribution for the FNs …