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Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations
Neuroimaging evidence suggests that the default mode network (DMN) exhibits antagonistic activity with dorsal attention (DAN) and salience (SN) networks. Here we use human intracranial electroencephalography to investigate the behavioral relevance of fine-grained dynamics within and between these ne...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6965628/ https://www.ncbi.nlm.nih.gov/pubmed/31949140 http://dx.doi.org/10.1038/s41467-019-14166-2 |
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author | Kucyi, Aaron Daitch, Amy Raccah, Omri Zhao, Baotian Zhang, Chao Esterman, Michael Zeineh, Michael Halpern, Casey H. Zhang, Kai Zhang, Jianguo Parvizi, Josef |
author_facet | Kucyi, Aaron Daitch, Amy Raccah, Omri Zhao, Baotian Zhang, Chao Esterman, Michael Zeineh, Michael Halpern, Casey H. Zhang, Kai Zhang, Jianguo Parvizi, Josef |
author_sort | Kucyi, Aaron |
collection | PubMed |
description | Neuroimaging evidence suggests that the default mode network (DMN) exhibits antagonistic activity with dorsal attention (DAN) and salience (SN) networks. Here we use human intracranial electroencephalography to investigate the behavioral relevance of fine-grained dynamics within and between these networks. The three networks show dissociable profiles of task-evoked electrophysiological activity, best captured in the high-frequency broadband (HFB; 70–170 Hz) range. On the order of hundreds of milliseconds, HFB responses peak fastest in the DAN, at intermediate speed in the SN, and slowest in the DMN. Lapses of attention (behavioral errors) are marked by distinguishable patterns of both pre- and post-stimulus HFB activity within each network. Moreover, the magnitude of temporally lagged, negative HFB coupling between the DAN and DMN (but not SN and DMN) is associated with greater sustained attention performance and is reduced during wakeful rest. These findings underscore the behavioral relevance of temporally delayed coordination between antagonistic brain networks. |
format | Online Article Text |
id | pubmed-6965628 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69656282020-01-22 Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations Kucyi, Aaron Daitch, Amy Raccah, Omri Zhao, Baotian Zhang, Chao Esterman, Michael Zeineh, Michael Halpern, Casey H. Zhang, Kai Zhang, Jianguo Parvizi, Josef Nat Commun Article Neuroimaging evidence suggests that the default mode network (DMN) exhibits antagonistic activity with dorsal attention (DAN) and salience (SN) networks. Here we use human intracranial electroencephalography to investigate the behavioral relevance of fine-grained dynamics within and between these networks. The three networks show dissociable profiles of task-evoked electrophysiological activity, best captured in the high-frequency broadband (HFB; 70–170 Hz) range. On the order of hundreds of milliseconds, HFB responses peak fastest in the DAN, at intermediate speed in the SN, and slowest in the DMN. Lapses of attention (behavioral errors) are marked by distinguishable patterns of both pre- and post-stimulus HFB activity within each network. Moreover, the magnitude of temporally lagged, negative HFB coupling between the DAN and DMN (but not SN and DMN) is associated with greater sustained attention performance and is reduced during wakeful rest. These findings underscore the behavioral relevance of temporally delayed coordination between antagonistic brain networks. Nature Publishing Group UK 2020-01-16 /pmc/articles/PMC6965628/ /pubmed/31949140 http://dx.doi.org/10.1038/s41467-019-14166-2 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Kucyi, Aaron Daitch, Amy Raccah, Omri Zhao, Baotian Zhang, Chao Esterman, Michael Zeineh, Michael Halpern, Casey H. Zhang, Kai Zhang, Jianguo Parvizi, Josef Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations |
title | Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations |
title_full | Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations |
title_fullStr | Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations |
title_full_unstemmed | Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations |
title_short | Electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations |
title_sort | electrophysiological dynamics of antagonistic brain networks reflect attentional fluctuations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6965628/ https://www.ncbi.nlm.nih.gov/pubmed/31949140 http://dx.doi.org/10.1038/s41467-019-14166-2 |
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