Optimal trajectories of brain state transitions.

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TitleOptimal trajectories of brain state transitions.
Publication TypeJournal Article
Year of Publication2017
AuthorsGu, S, Betzel, RF, Mattar, MG, Cieslak, M, Delio, PR, Grafton, ST, Pasqualetti, F, Bassett, DS
JournalNeuroimage
Volume148
Pagination305-317
Date Published2017 Mar 01
ISSN1095-9572
KeywordsAdult, Algorithms, Attention, Brain, Brain Injuries, Traumatic, Cerebral Cortex, Cognition, Cognition Disorders, Diffusion Magnetic Resonance Imaging, Energy Metabolism, Executive Function, Female, Healthy Volunteers, Humans, Male, Psychomotor Performance, White Matter, Young Adult
Abstract

The complexity of neural dynamics stems in part from the complexity of the underlying anatomy. Yet how white matter structure constrains how the brain transitions from one cognitive state to another remains unknown. Here we address this question by drawing on recent advances in network control theory to model the underlying mechanisms of brain state transitions as elicited by the collective control of region sets. We find that previously identified attention and executive control systems are poised to affect a broad array of state transitions that cannot easily be classified by traditional engineering-based notions of control. This theoretical versatility comes with a vulnerability to injury. In patients with mild traumatic brain injury, we observe a loss of specificity in putative control processes, suggesting greater susceptibility to neurophysiological noise. These results offer fundamental insights into the mechanisms driving brain state transitions in healthy cognition and their alteration following injury.

DOI10.1016/j.neuroimage.2017.01.003
Alternate JournalNeuroimage
PubMed ID28088484
PubMed Central IDPMC5489344
Grant ListR01 DC009209 / DC / NIDCD NIH HHS / United States
R01 HD086888 / HD / NICHD NIH HHS / United States
R01 NS099348 / NS / NINDS NIH HHS / United States
R21 MH106799 / MH / NIMH NIH HHS / United States