Local-Global Parcellation of the Human Cerebral Cortex from Intrinsic Functional Connectivity MRI.

ABSTRACT: A central goal in systems neuroscience is the parcellation of the cerebral cortex into discrete neurobiological "atoms". Resting-state functional magnetic resonance imaging (rs-fMRI) offers the possibility of in vivo human cortical parcellation. Almost all previous parcellations relied on 1 of 2 approaches. The local gradient approach detects abrupt transitions in functional connectivity patterns. These transitions potentially reflect cortical areal boundaries defined by histology or visuotopic fMRI. By contrast, the global similarity approach clusters similar functional connectivity patterns regardless of spatial proximity, resulting in parcels with homogeneous (similar) rs-fMRI signals. Here, we propose a gradient-weighted Markov Random Field (gwMRF) model integrating local gradient and

SUBMITTER: Schaefer A 

PROVIDER: S-EPMC6095216 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature