Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states

Ashourvan et al. apply a pairwise maximum entropy model to intracranial EEG data from epileptic patients to infer structure-function relationships. Their results indicate that the pairwise MEM model provides insight into the structural connectivity of the brain and how it gives rise to activity patt...

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Autores principales:	Arian Ashourvan, Preya Shah, Adam Pines, Shi Gu, Christopher W. Lynn, Danielle S. Bassett, Kathryn A. Davis, Brian Litt
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/2301190b8e5e43c093d3344655d94afa
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spelling	oai:doaj.org-article:2301190b8e5e43c093d3344655d94afa2021-12-02T12:11:51ZPairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states10.1038/s42003-021-01700-62399-3642https://doaj.org/article/2301190b8e5e43c093d3344655d94afa2021-02-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-01700-6https://doaj.org/toc/2399-3642Ashourvan et al. apply a pairwise maximum entropy model to intracranial EEG data from epileptic patients to infer structure-function relationships. Their results indicate that the pairwise MEM model provides insight into the structural connectivity of the brain and how it gives rise to activity patterns.Arian AshourvanPreya ShahAdam PinesShi GuChristopher W. LynnDanielle S. BassettKathryn A. DavisBrian LittNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-15 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 Arian Ashourvan Preya Shah Adam Pines Shi Gu Christopher W. Lynn Danielle S. Bassett Kathryn A. Davis Brian Litt Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states
description	Ashourvan et al. apply a pairwise maximum entropy model to intracranial EEG data from epileptic patients to infer structure-function relationships. Their results indicate that the pairwise MEM model provides insight into the structural connectivity of the brain and how it gives rise to activity patterns.
format	article
author	Arian Ashourvan Preya Shah Adam Pines Shi Gu Christopher W. Lynn Danielle S. Bassett Kathryn A. Davis Brian Litt
author_facet	Arian Ashourvan Preya Shah Adam Pines Shi Gu Christopher W. Lynn Danielle S. Bassett Kathryn A. Davis Brian Litt
author_sort	Arian Ashourvan
title	Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states
title_short	Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states
title_full	Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states
title_fullStr	Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states
title_full_unstemmed	Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states
title_sort	pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/2301190b8e5e43c093d3344655d94afa
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Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation states

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