Group search algorithm recovers effective connectivity maps for individuals in homogeneous and heterogeneous samples

► We present a new automatic search algorithm (GIMME) for effective connectivity maps. ► GIMME identifies true connections in the data from Smith et al. (2011). ► Individual variation in connectivity maps is captured with GIMME. ► False positives in the group structure are not induced by heterogeneity. ► GIMME may be used with the data from block or event-related designs.