Deco, GustavoSenden, MarioJirsa, Viktor K.2015-01-272015-01-272012Deco G, Senden M, Jirsa V. How anatomy shapes dynamics: a semi-analytical study of the brain at rest by a simple spin model. Front Comput Neurosci. 2012 Sep 20;6(68):1-7. DOI: 10.3389/fncom.2012.000681662-5188http://hdl.handle.net/10230/23078Resting state networks (RSNs) show a surprisingly coherent and robust spatiotemporal/norganization. Previous theoretical studies demonstrated that these patterns can be/nunderstood as emergent on the basis of the underlying neuroanatomical connectivity/nskeleton. Integrating the biologically realistic DTI/DSI-(Diffusion Tensor Imaging/Diffusion/nSpectrum Imaging)based neuroanatomical connectivity into a brain model of Ising/nspin dynamics, we found a system with multiple attractors, which can be studied/nanalytically. The multistable attract/nor landscape thus defines a functionally meaningful/ndynamic repertoire of the brain network that is inherently present in the neuroanatomical/nconnectivity. We demonstrate that the more entropy of attractors exists, the richer is the/ndynamical repertoire and consequently the brain network displays more capabilities of/ncomputation. We hypothesize therefore tha/nt human brain connectivity developed a scale/nfree type of architecture in order to be able to store a large number of different and flexibly/naccessible brain functions.7 p.application/pdfeng© 2012 Deco, Senden and Jirsa. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and subject to any copyright notices concerning any third-party graphics etc. This Document is Protected by copyright and was first published by Frontiersinfo:eu-repo/semantics/articlehttp://dx.doi.org/10.3389/fncom.2012.00068Computational neurosciencefMRI modelingOngoing activityResting stateConnectivity matrixinfo:eu-repo/semantics/openAccess