Identifying functional subdivisions in the human brain using meta-analytic activation modeling-based parcellation.

ABSTRACT: Parcellation of the human brain into fine-grained units by grouping voxels into distinct clusters has been an effective approach for delineating specific brain regions and their subregions. Published neuroimaging studies employing coordinate-based meta-analyses have shown that the activation foci and their corresponding behavioral categories may contain useful information about the anatomical-functional organization of brain regions. Inspired by these developments, we proposed a new parcellation scheme called meta-analytic activation modeling-based parcellation (MAMP) that uses meta-analytically obtained information. The raw meta data, including the experiments and the reported activation coordinates related to a brain region of interest, were acquired from the Brainmap database. Using thi

SUBMITTER: Yang Y 

PROVIDER: S-EPMC4791060 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature