Network and Multilayer Network Approaches to Understanding Human Brain Dynamics.
Network neuroscience provides a systems approach to the study of the brain and enables the examination of interactions measured at different temporal and spatial scales.We review current methods to quantify the structure of brain networks and compare that structure across different clinical cohorts,...
| Publicado en: | Philosophy of Science Vol. 83; no. 5; pp. 710 - 721 |
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| Autores principales: | , |
| Formato: | Artículo |
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Cambridge University Press
Dec2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=119503944&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 119503944 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 00318248 PSC jtl: Philosophy of Science issn: 00318248 maglogo: N pubinfo: dt: Dec2016 vid: 83 iid: 5 pid: 15979 pub: Cambridge University Press artinfo: ui: 119503944 10.1086/687857 ppf: 710 ppct: 11 formats: fmt: – @attributes: type: T – @attributes: type: P size: 312KB tig: atl: Network and Multilayer Network Approaches to Understanding Human Brain Dynamics. aug: au: Muldoon, Sarah Feldt Bassett, Danielle S. affil: This work was supported by the John D. and Catherine T. MacArthur Foundation, the Alfred P. Sloan Foundation, the Army Research Laboratory and the Army Research Office through contract numbers W911NF-10-2-0022 and W911NF-14-1-0679, the National Institute of Mental Health, the National Institute of Child Health and Human Development, the Office of Naval Research, and the National Science Foundation. The content is solely the responsibility of the authors and does not necessarily represent the official views of any of the funding agencies. To contact the authors, please write to: Sarah Muldoon, Department of Mathematics and Computational and Data-Enabled Science and Engineering Program, University at Buffalo, SUNY, Buffalo, NY 14260 su: Biological neural networks Brain physiology Neurosciences Brain evolution Brain -- Mathematical models Mathematical models sug: subj: Biological neural networks Brain physiology Neurosciences Brain evolution Brain -- Mathematical models Mathematical models ab: Network neuroscience provides a systems approach to the study of the brain and enables the examination of interactions measured at different temporal and spatial scales.We review current methods to quantify the structure of brain networks and compare that structure across different clinical cohorts, cognitive states, and subjects.We further introduce the emerging mathematical concept of multilayer networks and describe the advantages of this approach to model changing brain dynamics over time. We conclude by offering several concrete examples of how multilayer network approaches to neuroimaging data provide novel insights into brain structure and evolving function. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Philosophy of Science is the property of Cambridge University Press and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Philosophy of Science holder: Cambridge University Press dt: @attributes: year: 2016 holdings: @attributes: islocal: N |
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