The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance.
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Shine JM
Department of Psychology, Stanford University, Stanford, CA 94305, USA; Neuroscience Research Australia, University of New South Wales, Sydney NSW 2052, Australia. Electronic address: macshine@stanford.edu.
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Bissett PG
Department of Psychology, Stanford University, Stanford, CA 94305, USA.
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Bell PT
University of Queensland Centre for Clinical Research, University of Queensland, Brisbane QLD 4072, Australia.
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Koyejo O
Department of Psychology, Stanford University, Stanford, CA 94305, USA.
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Balsters JH
Department of Health Sciences and Technology, Neural Control of Movement Laboratory, ETH Zurich, 8092 Zurich, Switzerland.
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Gorgolewski KJ
Department of Psychology, Stanford University, Stanford, CA 94305, USA.
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Moodie CA
Department of Psychology, Stanford University, Stanford, CA 94305, USA.
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Poldrack RA
Department of Psychology, Stanford University, Stanford, CA 94305, USA.
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English
Higher brain function relies upon the ability to flexibly integrate information across specialized communities of brain regions; however, it is unclear how this mechanism manifests over time. In this study, we used time-resolved network analysis of fMRI data to demonstrate that the human brain traverses between functional states that maximize either segregation into tight-knit communities or integration across otherwise disparate neural regions. Integrated states enable faster and more accurate performance on a cognitive task, and are associated with dilations in pupil diameter, suggesting that ascending neuromodulatory systems may govern the transition between these alternative modes of brain function. Together, our results confirm a direct link between cognitive performance and the dynamic reorganization of the network structure of the brain.
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Language
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Open access status
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bronze
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Persistent URL
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https://sonar.ch/global/documents/217577
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