Brain functional connectivity (FC) is often assessed from fMRI data using seedbased methods, such as those of detecting temporal correlation between a predefined region (seed) and all other regions in the brain; In investigations of the brain's resting state using functional magnetic resonance imaging (fMRI), a seedbased approach is commonly used to identify brain regions that are functionally connected The seed is typically identified based on anatomical landmarks, coordinates, or the location of brain activity during a separate task To better understand intrinsic brain connections in major depression, we used a neuroimaging technique that measures resting state functional connectivity using functional MRI (fMRI) Three different brain networks—the cognitive control network, default mode network, and affective network—were investigated Compared with controls, in depressed subjects each of
Predicting Functional Networks From Region Connectivity Profiles In Task Based Versus Resting State Fmri Data
