Available online 3 June 2019.The human brain is functionally organized into large-scale neural networks that are dynamically interconnected. Multiple short-lived states of resting-state functional connectivity (rsFC) identified transiently synchronized networks and cross-network integration. However, little is known about the way brain couplings covary as rsFC states wax and wane. In this magnetoencephalography study, we explore the synchronization structure among the spontaneous interactions of well-known resting-state networks (RSNs). To do so, we extracted modes of dynamic coupling that reflect rsFC synchrony and analyzed their spatio-temporal features. These modes identified transient, sporadic rsFC changes characterized by the widespread integration of RSNs across the brain, most prominently in the β band. This is in line with the metastable rsFC state model of resting-state dynamics, wherein our modes fit as state transition processes. Furthermore, the default-mode network (DMN) stood out as being structured into competitive cross-network couplings with widespread DMN-RSN interactions, especially among the β-band modes. These results substantiate the theory that the DMN is a core network enabling dynamic global brain integration in the β band.This work was supported by the Action de Recherche Concert ee (ARC
Consolidation 2015–2019, “Characterization of the electrophysiological
bases, the temporal dynamics and the functional relevance of resting state
network” attributed to X.D.T.) and by the research convention “Les Voies
du Savoir” (Fonds Erasme, Brussels, Belgium). M.B. benefited from the
program Attract of Innoviris (grant 2015-BB2B-10), the Spanish Ministry
of Economy and Competitiveness (grant PSI2016-77175-P), and theMarie
Skłodowska-Curie Action of the European Commission (grant 743562).
M.V.G. and G.N.were supported by the Fonds Erasme. N.C. benefited from
a research grant from the ARC Consolidation (2014–2017, “Characterization
of the electrophysiological bases, the temporal dynamics and the
functional relevance of resting state network” attributed to X.D.T.) and
from the Fonds Erasme (research convention “Les Voies du Savoir”).
X.D.T. is Post-doctorate Clinical Master Specialist at the Fonds de la
Recherche Scientifique (F.R.S.-FNRS, Brussels, Belgium). The MEG project
at the CUB – H^opital Erasme is financially supported by the Fonds Erasme
(research convention “Les Voies du Savoir”)
