system. Proceedings of the National Academy of Sciences USA 110 (19), 7880– 7885. Nooner, K. B., Colcombe, S. J., Tobe, R. H., Mennes, M., Benedict, M. M., Moreno, A. L., Panek, L. J., Brown, S., Zavitz, S. T., Li, Q., et al., 2012. The nki-rockland sample: a model for accelerating the pace of discovery science in psychiatry. Frontiers in Neuroscience 6, 152. Roberts, J. A., Perry, A., Lord, A. R., Roberts, G., Mitchell, P. B., Smith, R. E., Calamante, F., Breakspear, M., 2015. The contribution of geometry to the human connectome. NeuroImage. Rubinov, M., Sporns, O., 2010. Complex network measures of brain connectiv- ity: uses and interpretations. Neuroimage 52 (3), 1059–1069. Rubinov, M., Ypma, R., Watson, C., Bullmore, E., 2015. Wiring cost and topo- logical participation of the mouse brain connectome. Proceedings of the Na- tional Academy of Sciences of the USA, doi/10.1073/pnas.1420315112. Samu, D., Seth, A. K., Nowotny, T., 2014. Influence of wiring cost on the large-scale architecture of human cortical connectivity. PLoS Computational Biology 10, e1003557. Sol´ e, R., Satorras, R. P., Smith, E., Kepler, T., 2002. A model of large-scale proteome evolution. Advances in Complex Systems 5 (01), 43–54. Song, H. F., Kennedy, H., Wang, X.-J., 2014. Spatial embedding of structural similarity in the cerebral cortex. Proceedings of the National Academy of Sciences USA 111 (46), 16580–16585. Sporns, O., 2014. Contributions and challenges for network models in cognitive neuroscience. Nature Neuroscience 17 (5), 652–660. 37