Published, Version of Record (VoR)CC BY V4.0, Open
Abstract
Biochemical Research Methods Biochemistry & Molecular Biology Life Sciences & Biomedicine Mathematical & Computational Biology Science & Technology
Brain anatomy and physiology support the human ability to navigate a complex space of perceptions and actions. To maneuver across an ever-changing landscape of mental states, the brain invokes cognitive control-a set of dynamic processes that engage and disengage different groups of brain regions to modulate attention, switch between tasks, and inhibit prepotent responses. Current theory posits that correlated and anticorrelated brain activity may signify cooperative and competitive interactions between brain areas that subserve adaptive behavior. In this study, we use a quantitative approach to identify distinct topological motifs of functional interactions and examine how their expression relates to cognitive control processes and behavior. In particular, we acquire fMRI BOLD signal in twenty-eight healthy subjects as they perform two cognitive control tasks-a Stroop interference task and a local-global perception switching task using Navon figures-each with low and high cognitive control demand conditions. Based on these data, we construct dynamic functional brain networks and use a parts-based, network decomposition technique called nonnegative matrix factorization to identify putative cognitive control subgraphs whose temporal expression captures distributed network structures involved in different phases of cooperative and competitive control processes. Our results demonstrate that temporal expression of the subgraphs fluctuate alongside changes in cognitive demand and are associated with individual differences in task performance. These findings offer insight into how coordinated changes in the cooperative and competitive roles of cognitive systems map trajectories between cognitively demanding brain states.
Subgraphs of functional brain networks identify dynamical constraints of cognitive control
Creators
Ankit N. Khambhati - University of Pennsylvania
John D. Medaglia - Drexel University
Elisabeth A. Karuza - University of Pennsylvania
Sharon L. Thompson-Schill - University of Pennsylvania
Danielle S. Bassett - University of Pennsylvania
Publication Details
PLoS computational biology, v 14(7), pp e1006234-e1006234
Publisher
Public Library Science
Number of pages
33
Grant note
Paul G. Allen Foundation
W911NF-14-1-0679; W911NF-16-1-0474 / Army Research Office
Office of Naval Research
2-R01-DC-009209-11; 1R01HD086888-01; R01-MH107235; R01-MH107703; R01MH109520; 1R01NS099348; R21-M MH-106799 / National Institute of Health; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA
BCS-1441502; CAREER PHY-1554488; BCS-1631550; CNS-1626008 / National Science Foundation; National Science Foundation (NSF)
Alfred P. Sloan Foundation
W911NF-10-2-0022 / Army Research Laboratory; United States Department of Defense; US Army Research Laboratory (ARL)
John D. and Catherine T. MacArthur Foundation
R01DC009209 / NATIONAL INSTITUTE ON DEAFNESS AND OTHER COMMUNICATION DISORDERS; United States Department of Health & Human Services; National Institutes of Health (NIH) - USA; NIH National Institute on Deafness & Other Communication Disorders (NIDCD)
Resource Type
Journal article
Language
English
Academic Unit
Psychological and Brain Sciences (Psychology)
Web of Science ID
WOS:000440483300008
Scopus ID
2-s2.0-85050960757
Other Identifier
991019168345704721
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Collaboration types
Domestic collaboration
Web of Science research areas
Biochemical Research Methods
Mathematical & Computational Biology
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