Tagliazucchi, E., Von Wegner, F., Morzelewski, A., Brodbeck, V., Laufs, H., 2012b. Dynamic bold functional connectivity in humans and its electrophys- iological correlates. Frontiers in Human Neuroscience 6, 339. Thompson, W. H., Fransson, P., 2015. The mean-variance relationship reveals two possible strategies for dynamic brain connectivity analysis in fmri. Fron- tiers in Human Neuroscience 9, 398. Traud, A. L., Kelsic, E. D., Mucha, P. J., Porter, M. A., 2011. Comparing community structure to characteristics in online collegiate social networks. SIAM review 53 (3), 526–543. Watts, D. J., Strogatz, S. H., 1998. Collective dynamics of small-worldnetworks. nature 393 (6684), 440–442. Xu, T., Yang, Z., Jiang, L., Xing, X.-X., Zuo, X.-N., 2015. A connectome computation system for discovery science of brain. Science Bulletin 60 (1), 86–95. Yan, C.-G., Cheung, B., Kelly, C., Colcombe, S., Craddock, R. C., Di Martino, A., Li, Q., Zuo, X.-N., Castellanos, F. X., Milham, M. P., 2013. A comprehen- sive assessment of regional variation in the impact of head micromovements on functional connectomics. Neuroimage 76, 183–201. Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Z¨ ollei, L., Polimeni, J. R., et al., 2011. The organization of the human cerebral cortex estimated by intrinsic functional connectivity. Journal of Neurophysiology 106 (3), 1125– 1165. Zalesky, A., Breakspear, M., 2015. Towards a statistical test for functional con- nectivity dynamics. Neuroimage 114, 466–470. 37