Neurogenetic profiles delineate large-scale connectivity dynamics of the human brain.

ABSTRACT: Experimental and modeling work of neural activity has described recurrent and attractor dynamic patterns in cerebral microcircuits. However, it is still poorly understood whether similar dynamic principles exist or can be generalizable to the large-scale level. Here, we applied dynamic graph theory-based analyses to evaluate the dynamic streams of whole-brain functional connectivity over time across cognitive states. Dynamic connectivity in local networks is located in attentional areas during tasks and primary sensory areas during rest states, and dynamic connectivity in distributed networks converges in the default mode network (DMN) in both task and rest states. Importantly, we find that distinctive dynamic connectivity patterns are spatially associated with Allen Human Brain Atlas gene

SUBMITTER: Diez I 

PROVIDER: S-EPMC6155203 | biostudies-literature | 2018 Sep

REPOSITORIES: biostudies-literature