Functional connectivity is typically measured using one of three approaches: (1) regression analysis using a seed
region of interest (Greicius et al., 2003; Fox et al., 2005), (2) full or partial correlation analysis of multiple
regions of interest (Ryali et al., 2012), or (3) independent component analysis (ICA) of the entire imaging dataset to identify
spatial maps with
common temporal profiles (Beckmann and Smith, 2004; Cole et al., 2010).