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Visual Attention and Poor Sleep Quality
BACKGROUND: Sleep deprivation disrupts visual attention; however, the effects of chronic poor sleep quality on it are not understood. The dorsal attention network (DAN) and the ventral attention network (VAN) are involved in visual attention and search (VSA), with the DAN being important for the ser...
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/PMC9202476/ https://www.ncbi.nlm.nih.gov/pubmed/35720693 http://dx.doi.org/10.3389/fnins.2022.850372 |
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author | Abdolalizadeh, Amirhussein Nabavi, Samaneh |
author_facet | Abdolalizadeh, Amirhussein Nabavi, Samaneh |
author_sort | Abdolalizadeh, Amirhussein |
collection | PubMed |
description | BACKGROUND: Sleep deprivation disrupts visual attention; however, the effects of chronic poor sleep quality on it are not understood. The dorsal attention network (DAN) and the ventral attention network (VAN) are involved in visual attention and search (VSA), with the DAN being important for the serial attention network and the VAN for parallel “pop-out” visual search. OBJECTIVE: The aim of the study was to evaluate correlation of sleep quality with visual attention and search, functional, and tracts’ properties of the DAN and VAN. MATERIALS AND METHODS: We recruited 79 young male subjects and assessed their sleep quality using the Pittsburgh Sleep Quality Index (PSQI), dividing subjects into poor sleepers (PSs) and good sleepers (GSs) based on a cutoff of 5. Daytime sleepiness, sleep hygiene, depression, and anxiety levels were also evaluated. We assessed VSA using a computerized match-to-sample (MTS) task. We extracted functional networks and tracts of the VAN and DAN and statistically assessed group differences in task performance and imaging covarying age, depression, and anxiety. An interaction model with MTS × group was also done on imaging. RESULTS: In total, 43.67% of subjects were PSs. Sleep quality significantly correlated with daytime sleepiness, sleep hygiene, depression, and anxiety (all p < 0.001). No between-group differences were seen in task performance and functional or tract properties of the attention networks. Interaction analysis showed that the task performance was highly reliant on the DAN in PSs and on the VAN in GSs. CONCLUSION: Our findings show no association between sleep quality and VSA in task performance and imaging correlates of the attention network. However, unlike the GS group, poor sleep quality is associated with VSA being more reliant on the DAN than on the VAN. |
format | Online Article Text |
id | pubmed-9202476 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-92024762022-06-17 Visual Attention and Poor Sleep Quality Abdolalizadeh, Amirhussein Nabavi, Samaneh Front Neurosci Neuroscience BACKGROUND: Sleep deprivation disrupts visual attention; however, the effects of chronic poor sleep quality on it are not understood. The dorsal attention network (DAN) and the ventral attention network (VAN) are involved in visual attention and search (VSA), with the DAN being important for the serial attention network and the VAN for parallel “pop-out” visual search. OBJECTIVE: The aim of the study was to evaluate correlation of sleep quality with visual attention and search, functional, and tracts’ properties of the DAN and VAN. MATERIALS AND METHODS: We recruited 79 young male subjects and assessed their sleep quality using the Pittsburgh Sleep Quality Index (PSQI), dividing subjects into poor sleepers (PSs) and good sleepers (GSs) based on a cutoff of 5. Daytime sleepiness, sleep hygiene, depression, and anxiety levels were also evaluated. We assessed VSA using a computerized match-to-sample (MTS) task. We extracted functional networks and tracts of the VAN and DAN and statistically assessed group differences in task performance and imaging covarying age, depression, and anxiety. An interaction model with MTS × group was also done on imaging. RESULTS: In total, 43.67% of subjects were PSs. Sleep quality significantly correlated with daytime sleepiness, sleep hygiene, depression, and anxiety (all p < 0.001). No between-group differences were seen in task performance and functional or tract properties of the attention networks. Interaction analysis showed that the task performance was highly reliant on the DAN in PSs and on the VAN in GSs. CONCLUSION: Our findings show no association between sleep quality and VSA in task performance and imaging correlates of the attention network. However, unlike the GS group, poor sleep quality is associated with VSA being more reliant on the DAN than on the VAN. Frontiers Media S.A. 2022-06-02 /pmc/articles/PMC9202476/ /pubmed/35720693 http://dx.doi.org/10.3389/fnins.2022.850372 Text en Copyright © 2022 Abdolalizadeh and Nabavi. 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 Abdolalizadeh, Amirhussein Nabavi, Samaneh Visual Attention and Poor Sleep Quality |
title | Visual Attention and Poor Sleep Quality |
title_full | Visual Attention and Poor Sleep Quality |
title_fullStr | Visual Attention and Poor Sleep Quality |
title_full_unstemmed | Visual Attention and Poor Sleep Quality |
title_short | Visual Attention and Poor Sleep Quality |
title_sort | visual attention and poor sleep quality |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9202476/ https://www.ncbi.nlm.nih.gov/pubmed/35720693 http://dx.doi.org/10.3389/fnins.2022.850372 |
work_keys_str_mv | AT abdolalizadehamirhussein visualattentionandpoorsleepquality AT nabavisamaneh visualattentionandpoorsleepquality |