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...
Main Authors: | , , , , , , , |
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Format: | Article |
Language: | English |
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Nature Portfolio
2021-02-01
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Series: | Communications Biology |
Online Access: | https://doi.org/10.1038/s42003-021-01700-6 |
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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 |
collection | DOAJ |
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. |
first_indexed | 2024-12-19T08:57:30Z |
format | Article |
id | doaj.art-2301190b8e5e43c093d3344655d94afa |
institution | Directory Open Access Journal |
issn | 2399-3642 |
language | English |
last_indexed | 2024-12-19T08:57:30Z |
publishDate | 2021-02-01 |
publisher | Nature Portfolio |
record_format | Article |
series | Communications Biology |
spelling | doaj.art-2301190b8e5e43c093d3344655d94afa2022-12-21T20:28:34ZengNature PortfolioCommunications Biology2399-36422021-02-014111510.1038/s42003-021-01700-6Pairwise maximum entropy model explains the role of white matter structure in shaping emergent co-activation statesArian Ashourvan0Preya Shah1Adam Pines2Shi Gu3Christopher W. Lynn4Danielle S. Bassett5Kathryn A. Davis6Brian Litt7Department of Bioengineering, School of Engineering and Applied Science, University of PennsylvaniaDepartment of Bioengineering, School of Engineering and Applied Science, University of PennsylvaniaDepartment of Bioengineering, School of Engineering and Applied Science, University of PennsylvaniaDepartment of Computer Science and Engineering, University of Electronic Science and Technology of ChinaDepartment of Physics & Astronomy, School of Arts & Sciences, University of PennsylvaniaDepartment of Bioengineering, School of Engineering and Applied Science, University of PennsylvaniaDepartment of Bioengineering, School of Engineering and Applied Science, University of PennsylvaniaDepartment of Bioengineering, School of Engineering and Applied Science, University of PennsylvaniaAshourvan 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.https://doi.org/10.1038/s42003-021-01700-6 |
spellingShingle | 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 Communications Biology |
title | 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_short | 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 |
url | https://doi.org/10.1038/s42003-021-01700-6 |
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