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Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics
Cognition and attention arise from the adaptive coordination of neural systems in response to external and internal demands. The low-dimensional latent subspace that underlies large-scale neural dynamics and the relationships of these dynamics to cognitive and attentional states, however, are unknow...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400080/ https://www.ncbi.nlm.nih.gov/pubmed/37395724 http://dx.doi.org/10.7554/eLife.85487 |
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author | Song, Hayoung Shim, Won Mok Rosenberg, Monica D |
author_facet | Song, Hayoung Shim, Won Mok Rosenberg, Monica D |
author_sort | Song, Hayoung |
collection | PubMed |
description | Cognition and attention arise from the adaptive coordination of neural systems in response to external and internal demands. The low-dimensional latent subspace that underlies large-scale neural dynamics and the relationships of these dynamics to cognitive and attentional states, however, are unknown. We conducted functional magnetic resonance imaging as human participants performed attention tasks, watched comedy sitcom episodes and an educational documentary, and rested. Whole-brain dynamics traversed a common set of latent states that spanned canonical gradients of functional brain organization, with global desynchronization among functional networks modulating state transitions. Neural state dynamics were synchronized across people during engaging movie watching and aligned to narrative event structures. Neural state dynamics reflected attention fluctuations such that different states indicated engaged attention in task and naturalistic contexts, whereas a common state indicated attention lapses in both contexts. Together, these results demonstrate that traversals along large-scale gradients of human brain organization reflect cognitive and attentional dynamics. |
format | Online Article Text |
id | pubmed-10400080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-104000802023-08-04 Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics Song, Hayoung Shim, Won Mok Rosenberg, Monica D eLife Neuroscience Cognition and attention arise from the adaptive coordination of neural systems in response to external and internal demands. The low-dimensional latent subspace that underlies large-scale neural dynamics and the relationships of these dynamics to cognitive and attentional states, however, are unknown. We conducted functional magnetic resonance imaging as human participants performed attention tasks, watched comedy sitcom episodes and an educational documentary, and rested. Whole-brain dynamics traversed a common set of latent states that spanned canonical gradients of functional brain organization, with global desynchronization among functional networks modulating state transitions. Neural state dynamics were synchronized across people during engaging movie watching and aligned to narrative event structures. Neural state dynamics reflected attention fluctuations such that different states indicated engaged attention in task and naturalistic contexts, whereas a common state indicated attention lapses in both contexts. Together, these results demonstrate that traversals along large-scale gradients of human brain organization reflect cognitive and attentional dynamics. eLife Sciences Publications, Ltd 2023-07-03 /pmc/articles/PMC10400080/ /pubmed/37395724 http://dx.doi.org/10.7554/eLife.85487 Text en © 2023, Song et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Neuroscience Song, Hayoung Shim, Won Mok Rosenberg, Monica D Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics |
title | Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics |
title_full | Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics |
title_fullStr | Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics |
title_full_unstemmed | Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics |
title_short | Large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics |
title_sort | large-scale neural dynamics in a shared low-dimensional state space reflect cognitive and attentional dynamics |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10400080/ https://www.ncbi.nlm.nih.gov/pubmed/37395724 http://dx.doi.org/10.7554/eLife.85487 |
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