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Published, Version of Record (VoR)CC BY V4.0, Open
Journal article
Controllability of structural brain networks
Nature communications, v 6(1), pp 8414-8414
01 Oct 2015
PMID: 26423222
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Cognitive function is driven by dynamic interactions between large-scale neural circuits or networks, enabling behaviour. However, fundamental principles constraining these dynamic network processes have remained elusive. Here we use tools from control and network theories to offer a mechanistic explanation for how the brain moves between cognitive states drawn from the network organization of white matter microstructure. Our results suggest that densely connected areas, particularly in the default mode system, facilitate the movement of the brain to many easily reachable states. Weakly connected areas, particularly in cognitive control systems, facilitate the movement of the brain to difficult-to-reach states. Areas located on the boundary between network communities, particularly in attentional control systems, facilitate the integration or segregation of diverse cognitive systems. Our results suggest that structural network differences between cognitive circuits dictate their distinct roles in controlling trajectories of brain network function.
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Details
- Title
- Controllability of structural brain networks
- Creators
- Shi Gu - Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USAFabio Pasqualetti - Department of Mechanical Engineering, University of California, Riverside, California 92521, USAMatthew Cieslak - Department of Psychological and Brain Sciences, University of California, Santa Barbara, California 93106, USAQawi K Telesford - Translational Neuroscience Branch, Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, Maryland 20783, USAAlfred B Yu - Translational Neuroscience Branch, Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, Maryland 20783, USAAri E Kahn - Department of Bioengineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USAJohn D Medaglia - University of PennsylvaniaJean M Vettel - Translational Neuroscience Branch, Army Research Laboratory, Aberdeen Proving Ground, Aberdeen, Maryland 20783, USAMichael B Miller - Department of Psychological and Brain Sciences, University of California, Santa Barbara, California 93106, USAScott T Grafton - Department of Psychological and Brain Sciences, University of California, Santa Barbara, California 93106, USADanielle S Bassett - Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
- Publication Details
- Nature communications, v 6(1), pp 8414-8414
- Publisher
- Springer Nature
- Grant note
- NS44393 / NINDS NIH HHS P01 NS044393 / NINDS NIH HHS T32 HD071844 / NICHD NIH HHS
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Psychological and Brain Sciences (Psychology)
- Web of Science ID
- WOS:000364923100001
- Scopus ID
- 2-s2.0-84943197033
- Other Identifier
- 991019297097104721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Neurosciences