Identifying Sparse Connectivity Patterns in the brain using resting-state fMRI.

ABSTRACT: The human brain processes information via multiple distributed networks. An accurate model of the brain's functional connectome is critical for understanding both normal brain function as well as the dysfunction present in neuropsychiatric illnesses. Current methodologies that attempt to discover the organization of the functional connectome typically assume spatial or temporal separation of the underlying networks. This assumption deviates from an intuitive understanding of brain function, which is that of multiple, inter-dependent spatially overlapping brain networks that efficiently integrate information pertinent to diverse brain functions. It is now increasingly evident that neural systems use parsimonious formations and functional representations to efficiently process information wh

SUBMITTER: Eavani H 

PROVIDER: S-EPMC4262564 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature