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Dynamic Transitions Between Brain States Predict Auditory Attentional Fluctuations
Achievement of task performance is required to maintain a constant level of attention. Attentional level fluctuates over the course of daily activities. However, brain dynamics leading to attentional fluctuation are still unknown. We investigated the underlying mechanisms of sustained attention usin...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972573/ https://www.ncbi.nlm.nih.gov/pubmed/35368290 http://dx.doi.org/10.3389/fnins.2022.816735 |
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author | Kondo, Hirohito M. Terashima, Hiroki Ezaki, Takahiro Kochiyama, Takanori Kihara, Ken Kawahara, Jun I. |
author_facet | Kondo, Hirohito M. Terashima, Hiroki Ezaki, Takahiro Kochiyama, Takanori Kihara, Ken Kawahara, Jun I. |
author_sort | Kondo, Hirohito M. |
collection | PubMed |
description | Achievement of task performance is required to maintain a constant level of attention. Attentional level fluctuates over the course of daily activities. However, brain dynamics leading to attentional fluctuation are still unknown. We investigated the underlying mechanisms of sustained attention using functional magnetic resonance imaging (fMRI). Participants were scanned with fMRI while performing an auditory, gradual-onset, continuous performance task (gradCPT). In this task, narrations gradually changed from one to the next. Participants pressed a button for frequent Go trials (i.e., male voices) as quickly as possible and withheld responses to infrequent No-go trials (i.e., female voices). Event-related analysis revealed that frontal and temporal areas, including the auditory cortex, were activated during successful and unsuccessful inhibition of predominant responses. Reaction-time (RT) variability throughout the auditory gradCPT was positively correlated with signal changes in regions of the dorsal attention network: superior frontal gyrus and superior parietal lobule. Energy landscape analysis showed that task-related activations could be clustered into different attractors: regions of the dorsal attention network and default mode network. The number of alternations between RT-stable and erratic periods increased with an increase in transitions between attractors in the brain. Therefore, we conclude that dynamic transitions between brain states are closely linked to auditory attentional fluctuations. |
format | Online Article Text |
id | pubmed-8972573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-89725732022-04-02 Dynamic Transitions Between Brain States Predict Auditory Attentional Fluctuations Kondo, Hirohito M. Terashima, Hiroki Ezaki, Takahiro Kochiyama, Takanori Kihara, Ken Kawahara, Jun I. Front Neurosci Neuroscience Achievement of task performance is required to maintain a constant level of attention. Attentional level fluctuates over the course of daily activities. However, brain dynamics leading to attentional fluctuation are still unknown. We investigated the underlying mechanisms of sustained attention using functional magnetic resonance imaging (fMRI). Participants were scanned with fMRI while performing an auditory, gradual-onset, continuous performance task (gradCPT). In this task, narrations gradually changed from one to the next. Participants pressed a button for frequent Go trials (i.e., male voices) as quickly as possible and withheld responses to infrequent No-go trials (i.e., female voices). Event-related analysis revealed that frontal and temporal areas, including the auditory cortex, were activated during successful and unsuccessful inhibition of predominant responses. Reaction-time (RT) variability throughout the auditory gradCPT was positively correlated with signal changes in regions of the dorsal attention network: superior frontal gyrus and superior parietal lobule. Energy landscape analysis showed that task-related activations could be clustered into different attractors: regions of the dorsal attention network and default mode network. The number of alternations between RT-stable and erratic periods increased with an increase in transitions between attractors in the brain. Therefore, we conclude that dynamic transitions between brain states are closely linked to auditory attentional fluctuations. Frontiers Media S.A. 2022-03-18 /pmc/articles/PMC8972573/ /pubmed/35368290 http://dx.doi.org/10.3389/fnins.2022.816735 Text en Copyright © 2022 Kondo, Terashima, Ezaki, Kochiyama, Kihara and Kawahara. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Kondo, Hirohito M. Terashima, Hiroki Ezaki, Takahiro Kochiyama, Takanori Kihara, Ken Kawahara, Jun I. Dynamic Transitions Between Brain States Predict Auditory Attentional Fluctuations |
title | Dynamic Transitions Between Brain States Predict Auditory Attentional Fluctuations |
title_full | Dynamic Transitions Between Brain States Predict Auditory Attentional Fluctuations |
title_fullStr | Dynamic Transitions Between Brain States Predict Auditory Attentional Fluctuations |
title_full_unstemmed | Dynamic Transitions Between Brain States Predict Auditory Attentional Fluctuations |
title_short | Dynamic Transitions Between Brain States Predict Auditory Attentional Fluctuations |
title_sort | dynamic transitions between brain states predict auditory attentional fluctuations |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8972573/ https://www.ncbi.nlm.nih.gov/pubmed/35368290 http://dx.doi.org/10.3389/fnins.2022.816735 |
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