| Literature DB >> 31740342 |
Mehraveh Salehi1, Abigail S Greene2, Amin Karbasi3, Xilin Shen4, Dustin Scheinost4, R Todd Constable5.
Abstract
The goal of human brain mapping has long been to delineate the functional subunits in the brain and elucidate the functional role of each of these brain regions. Recent work has focused on whole-brain parcellation of functional Magnetic Resonance Imaging (fMRI) data to identify these subunits and create a functional atlas. Functional connectivity approaches to understand the brain at the network level require such an atlas to assess connections between parcels and extract network properties. While no single functional atlas has emerged as the dominant atlas to date, there remains an underlying assumption that such an atlas exists. Using fMRI data from a highly sampled subject as well as two independent replication data sets, we demonstrate that functional parcellations based on fMRI connectivity data reconfigure substantially and in a meaningful manner, according to brain state.Entities:
Keywords: Behavior prediction; Functional brain atlas; Functional connectivity; State-specific parcellation; Task decoding; fMRI
Mesh:
Year: 2019 PMID: 31740342 DOI: 10.1016/j.neuroimage.2019.116366
Source DB: PubMed Journal: Neuroimage ISSN: 1053-8119 Impact factor: 6.556