Controllability of structural brain networks.

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TitleControllability of structural brain networks.
Publication TypeJournal Article
Year of Publication2015
AuthorsGu, S, Pasqualetti, F, Cieslak, M, Telesford, QK, Yu, AB, Kahn, AE, Medaglia, JD, Vettel, JM, Miller, MB, Grafton, ST, Bassett, DS
JournalNat Commun
Volume6
Pagination8414
Date Published2015 Oct 01
ISSN2041-1723
KeywordsAdult, Brain, Cognition, Female, Humans, Male, Nerve Net, Young Adult
Abstract

Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behaviour. However, fundamental principles constraining these dynamic network processes have remained elusive. Here we use tools from control and network theories to offer a mechanistic explanation for how the brain moves between cognitive states drawn from the network organization of white matter microstructure. Our results suggest that densely connected areas, particularly in the default mode system, facilitate the movement of the brain to many easily reachable states. Weakly connected areas, particularly in cognitive control systems, facilitate the movement of the brain to difficult-to-reach states. Areas located on the boundary between network communities, particularly in attentional control systems, facilitate the integration or segregation of diverse cognitive systems. Our results suggest that structural network differences between cognitive circuits dictate their distinct roles in controlling trajectories of brain network function.

DOI10.1038/ncomms9414
Alternate JournalNat Commun
PubMed ID26423222
PubMed Central IDPMC4600713
Grant ListP01 NS044393 / NS / NINDS NIH HHS / United States
T32 HD071844 / HD / NICHD NIH HHS / United States
NS44393 / NS / NINDS NIH HHS / United States