RT Journal Article
SR Electronic
T1 The dynamics of resting fluctuations in the brain: metastability and its dynamical cortical core
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 065284
DO 10.1101/065284
A1 Gustavo Deco
A1 Morten L. Kringelbach
A1 Viktor K. Jirsa
A1 Petra Ritter
YR 2016
UL http://biorxiv.org/content/early/2016/12/21/065284.abstract
AB In the human brain, spontaneous activity during resting state consists of rapid transitions between functional network states over time but the underlying mechanisms are not understood. We use connectome based computational brain network modeling to reveal fundamental principles of how the human brain generates large-scale activity observable by noninvasive neuroimaging. By including individual structural and functional neuroimaging data into brain network models we construct personalized brain models. With this novel approach, we reveal that the human brain during resting state operates at maximum metastability, i.e. in a state of maximum network switching. In addition, we investigate cortical heterogeneity across areas. Optimization of the spectral characteristics of each local brain region revealed the dynamical cortical core of the human brain, which is driving the activity of the rest of the whole brain. Personalized brain network modelling goes beyond correlational neuroimaging analysis and reveals non-trivial network mechanisms underlying non-invasive observations. Our novel findings significantly pertain to the important role of computational connectomics in understanding principles of brain function.