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Attention networks and the intrinsic network structure of the human brain

Attention network theory distinguishes three independent systems, each supported by its own distributed network: an alerting network to deploy attentional resources in anticipation, an orienting network to direct attention to a cued location, and a control network to select relevant information at t...

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Autores principales: Markett, Sebastian, Nothdurfter, David, Focsa, Antonia, Reuter, Martin, Jawinski, Philippe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley & Sons, Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837576/
https://www.ncbi.nlm.nih.gov/pubmed/34882908
http://dx.doi.org/10.1002/hbm.25734
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author Markett, Sebastian
Nothdurfter, David
Focsa, Antonia
Reuter, Martin
Jawinski, Philippe
author_facet Markett, Sebastian
Nothdurfter, David
Focsa, Antonia
Reuter, Martin
Jawinski, Philippe
author_sort Markett, Sebastian
collection PubMed
description Attention network theory distinguishes three independent systems, each supported by its own distributed network: an alerting network to deploy attentional resources in anticipation, an orienting network to direct attention to a cued location, and a control network to select relevant information at the expense of concurrently available information. Ample behavioral and neuroimaging evidence supports the dissociation of the three attention domains. The strong assumption that each attentional system is realized through a separable network, however, raises the question how these networks relate to the intrinsic network structure of the brain. Our understanding of brain networks has advanced majorly in the past years due to the increasing focus on brain connectivity. The brain is intrinsically organized into several large‐scale networks whose modular structure persists across task states. Existing proposals on how the presumed attention networks relate to intrinsic networks rely mostly on anecdotal and partly contradictory arguments. We addressed this issue by mapping different attention networks at the level of cifti‐grayordinates. Resulting group maps were compared to the group‐level topology of 23 intrinsic networks, which we reconstructed from the same participants' resting state fMRI data. We found that all attention domains recruited multiple and partly overlapping intrinsic networks and converged in the dorsal fronto‐parietal and midcingulo‐insular network. While we observed a preference of each attentional domain for its own set of intrinsic networks, implicated networks did not match well to those proposed in the literature. Our results indicate a necessary refinement of the attention network theory.
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spelling pubmed-88375762022-02-14 Attention networks and the intrinsic network structure of the human brain Markett, Sebastian Nothdurfter, David Focsa, Antonia Reuter, Martin Jawinski, Philippe Hum Brain Mapp Research Articles Attention network theory distinguishes three independent systems, each supported by its own distributed network: an alerting network to deploy attentional resources in anticipation, an orienting network to direct attention to a cued location, and a control network to select relevant information at the expense of concurrently available information. Ample behavioral and neuroimaging evidence supports the dissociation of the three attention domains. The strong assumption that each attentional system is realized through a separable network, however, raises the question how these networks relate to the intrinsic network structure of the brain. Our understanding of brain networks has advanced majorly in the past years due to the increasing focus on brain connectivity. The brain is intrinsically organized into several large‐scale networks whose modular structure persists across task states. Existing proposals on how the presumed attention networks relate to intrinsic networks rely mostly on anecdotal and partly contradictory arguments. We addressed this issue by mapping different attention networks at the level of cifti‐grayordinates. Resulting group maps were compared to the group‐level topology of 23 intrinsic networks, which we reconstructed from the same participants' resting state fMRI data. We found that all attention domains recruited multiple and partly overlapping intrinsic networks and converged in the dorsal fronto‐parietal and midcingulo‐insular network. While we observed a preference of each attentional domain for its own set of intrinsic networks, implicated networks did not match well to those proposed in the literature. Our results indicate a necessary refinement of the attention network theory. John Wiley & Sons, Inc. 2021-12-09 /pmc/articles/PMC8837576/ /pubmed/34882908 http://dx.doi.org/10.1002/hbm.25734 Text en © 2021 The Authors. Human Brain Mapping published by Wiley Periodicals LLC. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Markett, Sebastian
Nothdurfter, David
Focsa, Antonia
Reuter, Martin
Jawinski, Philippe
Attention networks and the intrinsic network structure of the human brain
title Attention networks and the intrinsic network structure of the human brain
title_full Attention networks and the intrinsic network structure of the human brain
title_fullStr Attention networks and the intrinsic network structure of the human brain
title_full_unstemmed Attention networks and the intrinsic network structure of the human brain
title_short Attention networks and the intrinsic network structure of the human brain
title_sort attention networks and the intrinsic network structure of the human brain
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8837576/
https://www.ncbi.nlm.nih.gov/pubmed/34882908
http://dx.doi.org/10.1002/hbm.25734
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