An Approach to Automatically Label and Order Brain Activity/Component Maps.

ABSTRACT: Background: Functional magnetic resonance imaging (fMRI) is a brain imaging technique that provides detailed insights into brain function and its disruption in various brain disorders. The data-driven analysis of fMRI brain activity maps involves several postprocessing steps, the first of which is identifying whether the estimated brain network maps capture signals of interest, for example, intrinsic connectivity networks (ICNs), or artifacts. This is followed by linking the ICNs to standardized anatomical and functional parcellations. Optionally, as in the study of functional network connectivity (FNC), rearranging the connectivity graph is also necessary to facilitate interpretation. Methods: Here we develop a novel and efficient method (Autolabeler) for imple

SUBMITTER: Salman MS 

PROVIDER: S-EPMC8867103 | biostudies-literature | 2022 Feb

REPOSITORIES: biostudies-literature