Additional Datasets 5.1. Human connectome project (HCP) - See Figure S1 The HCP data were drawn from the 215 participants made available as part of the Q3 release of the human connectome project (Van Essen et al., 2012; Glasser et al., 2013). From each participant’s diffusion-weighted MR images (diffusion tensor imaging; DTI), white matter fibers were reconstructed from generalized q-sampling (Yeh et al., 2010) (GQI: allowing for the reconstruction of crossing fibers) and streamline tractography and the cortex was parcellated into 219 parcels based on a subdivision of FreeSurfers’s Desikan-Killiany atlas (Cammoun et al., 2012). More details on the processing of these data can be found elsewhere (de Reus and van den Heuvel, 2014). We focused on the right hemisphere only, which consisted of n = 108 regions. We imposed a threshold on streamline counts of 5 (i.e. a minimum of five streamlines must be present for us to consider two regions linked by a binary connection) in order to maintain an average connectome density of ρ ≈ 10% across subjects. We excluded a single subject on the grounds that their total streamline count was greater than two standard deviations from the group mean, leading to a final dataset of N = 214 participants. The NKI dataset consists of N = 126 participants whose ages ranged from 7-85 years (Nooner et al., 2012). Tractography was performed using the Connec- tome Computation System (CCS: http://lfcd.psych.ac.cn/ccs.html). A more de- tailed description of the processing pipeline was included in other reports (Betzel et al., 2014; Cao et al., 2014; Yang et al., 2014). Unlike the HCP and CHUV datasets, the cortex was parcellated into 148 regions according to the Destrieux atlas (Destrieux et al., 2010). We analyzed a single hemisphere ( n = 74 regions), 5.2. Nathan Kline Institute, Rockland, NY (NKI) - See Figure S2 22