Brain network adaptability across task states.

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TitleBrain network adaptability across task states.
Publication TypeJournal Article
Year of Publication2015
AuthorsDavison, EN, Schlesinger, KJ, Bassett, DS, Lynall, M-E, Miller, MB, Grafton, ST, Carlson, JM
JournalPLoS Comput Biol
Volume11
Issue1
Paginatione1004029
Date Published2015 Jan
ISSN1553-7358
KeywordsAdult, Brain, Brain Mapping, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Task Performance and Analysis
Abstract

Activity in the human brain moves between diverse functional states to meet the demands of our dynamic environment, but fundamental principles guiding these transitions remain poorly understood. Here, we capitalize on recent advances in network science to analyze patterns of functional interactions between brain regions. We use dynamic network representations to probe the landscape of brain reconfigurations that accompany task performance both within and between four cognitive states: a task-free resting state, an attention-demanding state, and two memory-demanding states. Using the formalism of hypergraphs, we identify the presence of groups of functional interactions that fluctuate coherently in strength over time both within (task-specific) and across (task-general) brain states. In contrast to prior emphases on the complexity of many dyadic (region-to-region) relationships, these results demonstrate that brain adaptability can be described by common processes that drive the dynamic integration of cognitive systems. Moreover, our results establish the hypergraph as an effective measure for understanding functional brain dynamics, which may also prove useful in examining cross-task, cross-age, and cross-cohort functional change.

DOI10.1371/journal.pcbi.1004029
Alternate JournalPLoS Comput. Biol.
PubMed ID25569227
PubMed Central IDPMC4287347