Title:"The Dynamics of Resting Fluctuations in the Brain"

 The grand average functional connectivity (FC) of a resting brain captures properly the well- structured spatial correlations between different brain areas.  Whole-brain -models explicitly linking spontaneous local neuronal dynamics with the tractography based anatomical structure of  the brain are able to explain the emergence of those spatial resting correlations. Nevertheless, resting activity is not only spatially structured but also shows a very stereotypical temporal structure which is characterized by rapid transitions switching between a few discrete FC states across time. In this talk, we introduce a powerful theoretical framework, which allows us to demonstrate that resting functional connectivityFC dynamics (FCD) constrains more strongly the dynamical working point of whole-brain models. Further more, using a very general neural mass model based on the  normal form of a Hopf bifurcation we are able to demonstrate that the temporal dynamics  of resting state fluctuations emerges at the edge of the transition between asynchronous to  oscillatory behavior. Even more importantly, at that particular working point the global metastability of the whole brain is maximized. By optimizing the spectral characteristics of each local brain node, we discover the dynamical core of the brain, i.e. the set of nodes, which drives by oscillations the rest of the whole brain. This dynamical core can be interpreted as the “memory” core of nodes sustaining consciousness.