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The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task
Previous research has shown that the autonomic nervous system provides essential constraints over ongoing cognitive function. However, there is currently a relative lack of direct empirical evidence for how this interaction manifests in the brain at the macroscale level. Here, we examine the role of...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746119/ https://www.ncbi.nlm.nih.gov/pubmed/35024535 http://dx.doi.org/10.1162/netn_a_00205 |
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author | Wainstein, Gabriel Rojas-Líbano, Daniel Medel, Vicente Alnæs, Dag Kolskår, Knut K. Endestad, Tor Laeng, Bruno Ossandon, Tomas Crossley, Nicolás Matar, Elie Shine, James M. |
author_facet | Wainstein, Gabriel Rojas-Líbano, Daniel Medel, Vicente Alnæs, Dag Kolskår, Knut K. Endestad, Tor Laeng, Bruno Ossandon, Tomas Crossley, Nicolás Matar, Elie Shine, James M. |
author_sort | Wainstein, Gabriel |
collection | PubMed |
description | Previous research has shown that the autonomic nervous system provides essential constraints over ongoing cognitive function. However, there is currently a relative lack of direct empirical evidence for how this interaction manifests in the brain at the macroscale level. Here, we examine the role of ascending arousal and attentional load on large-scale network dynamics by combining pupillometry, functional MRI, and graph theoretical analysis to analyze data from a visual motion-tracking task with a parametric load manipulation. We found that attentional load effects were observable in measures of pupil diameter and in a set of brain regions that parametrically modulated their BOLD activity and mesoscale network-level integration. In addition, the regional patterns of network reconfiguration were correlated with the spatial distribution of the α2a adrenergic receptor. Our results further solidify the relationship between ascending noradrenergic activity, large-scale network integration, and cognitive task performance. |
format | Online Article Text |
id | pubmed-8746119 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-87461192022-01-11 The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task Wainstein, Gabriel Rojas-Líbano, Daniel Medel, Vicente Alnæs, Dag Kolskår, Knut K. Endestad, Tor Laeng, Bruno Ossandon, Tomas Crossley, Nicolás Matar, Elie Shine, James M. Netw Neurosci Research Article Previous research has shown that the autonomic nervous system provides essential constraints over ongoing cognitive function. However, there is currently a relative lack of direct empirical evidence for how this interaction manifests in the brain at the macroscale level. Here, we examine the role of ascending arousal and attentional load on large-scale network dynamics by combining pupillometry, functional MRI, and graph theoretical analysis to analyze data from a visual motion-tracking task with a parametric load manipulation. We found that attentional load effects were observable in measures of pupil diameter and in a set of brain regions that parametrically modulated their BOLD activity and mesoscale network-level integration. In addition, the regional patterns of network reconfiguration were correlated with the spatial distribution of the α2a adrenergic receptor. Our results further solidify the relationship between ascending noradrenergic activity, large-scale network integration, and cognitive task performance. MIT Press 2021-11-30 /pmc/articles/PMC8746119/ /pubmed/35024535 http://dx.doi.org/10.1162/netn_a_00205 Text en © 2021 Massachusetts Institute of Technology https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Article Wainstein, Gabriel Rojas-Líbano, Daniel Medel, Vicente Alnæs, Dag Kolskår, Knut K. Endestad, Tor Laeng, Bruno Ossandon, Tomas Crossley, Nicolás Matar, Elie Shine, James M. The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task |
title | The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task |
title_full | The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task |
title_fullStr | The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task |
title_full_unstemmed | The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task |
title_short | The ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task |
title_sort | ascending arousal system promotes optimal performance through mesoscale network integration in a visuospatial attentional task |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8746119/ https://www.ncbi.nlm.nih.gov/pubmed/35024535 http://dx.doi.org/10.1162/netn_a_00205 |
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