| Literature DB >> 27693256 |
James M Shine1, Patrick G Bissett2, Peter T Bell3, Oluwasanmi Koyejo2, Joshua H Balsters4, Krzysztof J Gorgolewski2, Craig A Moodie2, Russell A Poldrack2.
Abstract
Higher brain function relies upon the ability to flexibly integrate information across specialized communities of brain regions; however, it is unclear how this mechanism manifests over time. In this study, we used time-resolved network analysis of fMRI data to demonstrate that the human brain traverses between functional states that maximize either segregation into tight-knit communities or integration across otherwise disparate neural regions. Integrated states enable faster and more accurate performance on a cognitive task, and are associated with dilations in pupil diameter, suggesting that ascending neuromodulatory systems may govern the transition between these alternative modes of brain function. Together, our results confirm a direct link between cognitive performance and the dynamic reorganization of the network structure of the brain. Published by Elsevier Inc.Entities:
Mesh:
Year: 2016 PMID: 27693256 PMCID: PMC5073034 DOI: 10.1016/j.neuron.2016.09.018
Source DB: PubMed Journal: Neuron ISSN: 0896-6273 Impact factor: 17.173