Parcellating an individual subject's cortical and subcortical brain structures using snowball sampling of resting-state correlations.

ABSTRACT: We describe methods for parcellating an individual subject's cortical and subcortical brain structures using resting-state functional correlations (RSFCs). Inspired by approaches from social network analysis, we first describe the application of snowball sampling on RSFC data (RSFC-Snowballing) to identify the centers of cortical areas, subdivisions of subcortical nuclei, and the cerebellum. RSFC-Snowballing parcellation is then compared with parcellation derived from identifying locations where RSFC maps exhibit abrupt transitions (RSFC-Boundary Mapping). RSFC-Snowballing and RSFC-Boundary Mapping largely complement one another, but also provide unique parcellation information; together, the methods identify independent entities with distinct functional correlations across many cortical a

SUBMITTER: Wig GS 

PROVIDER: S-EPMC4089380 | biostudies-literature | 2014 Aug

REPOSITORIES: biostudies-literature