While static and dynamic functional connectivity (sFC/ dynFC) provide estimates of the integrity and information transfer between brain network nodes, the signal dynamics at each node represents the local information processing. Here we assessed the relation between static FC, dynFC and complexity of signal fluctuations wishing nodes within four networks. We found that more complex and thus less predictable signal in networks allows for a more dynamic functional connectivity and hence a richer repertoire of different FC states.
This abstract and the presentation materials are available to members only; a login is required.