Contextual connectivity: A framework for understanding the intrinsic dynamic architecture of large-scale functional brain networks.

ABSTRACT: Investigations of the human brain's connectomic architecture have produced two alternative models: one describes the brain's spatial structure in terms of static localized networks, and the other describes the brain's temporal structure in terms of dynamic whole-brain states. Here, we used tools from connectivity dynamics to develop a synthesis that bridges these models. Using resting fMRI data, we investigated the assumptions undergirding current models of the human connectome. Consistent with state-based models, our results suggest that static localized networks are superordinate approximations of underlying dynamic states. Furthermore, each of these localized, dynamic connectivity states is associated with global changes in the whole-brain functional connectome. By nesting localized dyn

SUBMITTER: Ciric R 

PROVIDER: S-EPMC5529582 | biostudies-literature | 2017 Jul

REPOSITORIES: biostudies-literature