Ponce-Alvarez, AdriánDeco, GustavoHagmann, PatricRomani, Gian LucaMantini, DanteCorbetta, Maurizio2015-10-302015-10-302015Ponce-Alvarez A, Deco G, Hagmann P, Romani GL, Mantini D, Corbetta M. Resting-state temporal synchronization networks emerge from connectivity topology and heterogeneity. PLoS Comput Biol. 2015;11(2):e1004100. DOI: 10.1371/journal.pcbi.10041001553-734Xhttp://hdl.handle.net/10230/24966Spatial patterns of coherent activity across different brain areas have been identified during/nthe resting-state fluctuations of the brain. However, recent studies indicate that resting-state/nactivity is not stationary, but shows complex temporal dynamics. We were interested in the/nspatiotemporal dynamics of the phase interactions among resting-state fMRI BOLD signals/nfrom human subjects.We found that the global phase synchrony of the BOLD signals/nevolves on a characteristic ultra-slow (<0.01Hz) time scale, and that its temporal variations/nreflect the transient formation and dissolution of multiple communities of synchronized brain/nregions. Synchronized communities reoccurred intermittently in time and across scanning/nsessions. We found that the synchronization communities relate to previously defined functional/nnetworks known to be engaged in sensory-motor or cognitive function, called restingstate/nnetworks (RSNs), including the default mode network, the somato-motor network, the/nvisual network, the auditory network, the cognitive control networks, the self-referential network,/nand combinations of these and other RSNs. We studied the mechanism originating/nthe observed spatiotemporal synchronization dynamics by using a network model of phase/noscillators connected through the brain’s anatomical connectivity estimated using diffusion/nimaging human data. The model consistently approximates the temporal and spatial synchronization/npatterns of the empirical data, and reveals that multiple clusters that transiently/nsynchronize and desynchronize emerge from the complex topology of anatomical connections,/nprovided that oscillators are heterogeneous.application/pdfengThis is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedicationinfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1371/journal.pcbi.1004100info:eu-repo/semantics/openAccess