Year: 2018
Type: article
Abstract: 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 non-negative 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.
Source: PLoS Computational Biology
Institutions: University of Pennsylvania, Drexel University
Language: English
Subfield: Cognitive Neuroscience
Field: Neuroscience
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,043
Funders: National Science Foundation, John D. and Catherine T. MacArthur Foundation, Alfred P. Sloan Foundation, National Institutes of Health, Office of Naval Research, National Institute of Mental Health, National Institute on Deafness and Other Communication Disorders, National Institute of Neurological Disorders and Stroke, National Institute of Child Health and Human Development, Eunice Kennedy Shriver National Institute of Child Health and Human Development, Army Research Office, Army Research Laboratory
Awards: G1001159199, G1024130705, Multimodal brain maturation indices modulating psychopathology and neurocognition, G1099660080, G1177916794, G129050353, G129985460, G1350070852, G1368505380, G1483473580, G157307749, G1630141903, MRI: Development of an Observatory for Quantitative Analysis of Collective Behavior in Animals, G1714448283, G1778482337, G2066955304, G2130352337, G2141736555, G2236980202, Virtual Resection to Treat Epilepsy, G2247336289, G2252567680, G2354367363, G2425642435, G2481140831, G2590364993, G2864901048, G2887601406, G2901702611, G3121740702, G3137615481, G3330175468, G3334283873, G334709475, G3424441068, G3451295105, G3574985532, G3596366364, G3736755514, G3755125221, G3824545241, G3868985464, G4069802742, G4475921622, G4491584916, G4503518981, G4526399220, G4556647092, G4823423002, G5172716836, G5259331294, G5261514402, G5419322094, G5496178531, G572628577, G5760707814, NCS-FO: Collaborative Research: A Mechanistic Model of Cognitive Control, CAREER: Linking Graph Topology of Learned Information to Behavioral Variability via Dynamics of Functional Brain Networks, G6467593695, G657448715, G6596942855, G6671297155, Longitudinal multi-modal neuroimaging of irritability in youth, G6863769665, Linguistic and Nonlinguistic Functions of Frontal Cortex, G6965237494, Evolution of the Linked Architecture of Network Control and Executive Function in Adolescence, G7159985717, G7236036932, G7251504948, G7452299184, CRCNS: US-France Modeling & Predicting BCI Learning from Dynamic Networks, WORKSHOP: Quantitative Theories of Learning, Memory, and Prediction, G7538535954, G7594130654, G7747382488, G7838535007, G7881329, G7989609580, G8118623993, G8164210364, G8196122938, G8454816522, G8554419822, Brain Network Mechanisms of Instructed Learning, G8796586358, G8992816084, G90128336
OpenAlex ID: W2949156281