Network modelling methods for FMRI

► We evaluate many methods for estimating brain networks from FMRI data ► Covariance-based methods are the most successful at finding network edges ► Finding network directionality is harder; Patel's tau performs the best ► Lag-based methods (e.g. Granger) perform badly ► The use of incorrect ROIs (e.g. from structural atlases) is dangerous