Decoding subject-driven cognitive states with whole-brain connectivity patterns.

ABSTRACT: Decoding specific cognitive states from brain activity constitutes a major goal of neuroscience. Previous studies of brain-state classification have focused largely on decoding brief, discrete events and have required the timing of these events to be known. To date, methods for decoding more continuous and purely subject-driven cognitive states have not been available. Here, we demonstrate that free-streaming subject-driven cognitive states can be decoded using a novel whole-brain functional connectivity analysis. Ninety functional regions of interest (ROIs) were defined across 14 large-scale resting-state brain networks to generate a 3960 cell matrix reflecting whole-brain connectivity. We trained a classifier to identify specific patterns of whole-brain connectivity as subjects rested qu

SUBMITTER: Shirer WR 

PROVIDER: S-EPMC3236795 | biostudies-literature | 2012 Jan

REPOSITORIES: biostudies-literature