Characterization of connectivity dynamics in intrinsic brain networks

Spontaneous fluctuations are a hallmark of neural recordings, emergent over time scales spanning milliseconds to tens-of-minutes. However, investigations of intrinsic brain organization based on resting-state functional connectivity (FC) have largely disregarded the presence and potential of temporal variability, as most current methods to examine FC implicitly assume that relationships are constant throughout the recording period. Recent studies have demonstrated the nonstationarity of spatial and temporal dynamics of resting state brain activity and highlighted the importance of understanding network dynamics to better characterize brain states. Here, we review recent findings, overview of different approaches, and future directions to access whole-brain connectivity dynamics in intrinsic networks (INs).