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Differences in Gray Matter Volume in Cerebral Small Vessel Disease Patients with and without Sleep Disturbance

Recently, there has been increased interest in the relationship between cerebral small vessel disease (CSVD) and circadian rhythm disruption, particularly sleep disturbance. However, the neural mechanism of sleep disturbance in CSVD patients remains poorly understood. The purpose of this study is to...

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Autores principales: Zhao, Jing, Kong, Qianqian, Zhou, Xirui, Zhang, Yi, Yu, Zhiyuan, Qu, Wensheng, Huang, Hao, Luo, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953873/
https://www.ncbi.nlm.nih.gov/pubmed/36831837
http://dx.doi.org/10.3390/brainsci13020294
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author Zhao, Jing
Kong, Qianqian
Zhou, Xirui
Zhang, Yi
Yu, Zhiyuan
Qu, Wensheng
Huang, Hao
Luo, Xiang
author_facet Zhao, Jing
Kong, Qianqian
Zhou, Xirui
Zhang, Yi
Yu, Zhiyuan
Qu, Wensheng
Huang, Hao
Luo, Xiang
author_sort Zhao, Jing
collection PubMed
description Recently, there has been increased interest in the relationship between cerebral small vessel disease (CSVD) and circadian rhythm disruption, particularly sleep disturbance. However, the neural mechanism of sleep disturbance in CSVD patients remains poorly understood. The purpose of this study is to explore the gray matter alterations in CSVD patients with and without sleep disturbance. 59 patients with CSVD and 40 healthy controls (HC) were recruited for the present study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. CSVD patients were categorized into either the good sleepers group (CSVD-GS, n = 23) or the poor sleepers group (CSVD-PS, n = 36) based on PSQI score. Voxel-based morphometry (VBM) analysis was used to assess differences in gray matter volume (GMV) between groups. Multivariate regression analyses were performed to investigate the relationships between sleep quality, GMV, and white matter hyperintensities (WMH). We observed GMV differences between the three groups in the bilateral caudate, right thalamus, bilateral calcarine cortex, left precentral gyrus, right orbitofrontal cortex, left cingulate gyrus, and right sub-gyral temporal lobe. Additionally, the CSVD-PS group exhibited decreased GMV in the bilateral calcarine cortex yet increased GMV in the right caudate compared to the CSVD-GS group. In fully adjusted models, GMV of the right caudate and bilateral calcarine cortex was associated with sleep quality in CSVD patients. The present study revealed structural brain alterations in CSVD patients with sleep disturbance. These findings may provide novel insights into the neural mechanisms of sleep disturbance in CSVD.
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spelling pubmed-99538732023-02-25 Differences in Gray Matter Volume in Cerebral Small Vessel Disease Patients with and without Sleep Disturbance Zhao, Jing Kong, Qianqian Zhou, Xirui Zhang, Yi Yu, Zhiyuan Qu, Wensheng Huang, Hao Luo, Xiang Brain Sci Article Recently, there has been increased interest in the relationship between cerebral small vessel disease (CSVD) and circadian rhythm disruption, particularly sleep disturbance. However, the neural mechanism of sleep disturbance in CSVD patients remains poorly understood. The purpose of this study is to explore the gray matter alterations in CSVD patients with and without sleep disturbance. 59 patients with CSVD and 40 healthy controls (HC) were recruited for the present study. Sleep quality was assessed using the Pittsburgh Sleep Quality Index (PSQI) questionnaire. CSVD patients were categorized into either the good sleepers group (CSVD-GS, n = 23) or the poor sleepers group (CSVD-PS, n = 36) based on PSQI score. Voxel-based morphometry (VBM) analysis was used to assess differences in gray matter volume (GMV) between groups. Multivariate regression analyses were performed to investigate the relationships between sleep quality, GMV, and white matter hyperintensities (WMH). We observed GMV differences between the three groups in the bilateral caudate, right thalamus, bilateral calcarine cortex, left precentral gyrus, right orbitofrontal cortex, left cingulate gyrus, and right sub-gyral temporal lobe. Additionally, the CSVD-PS group exhibited decreased GMV in the bilateral calcarine cortex yet increased GMV in the right caudate compared to the CSVD-GS group. In fully adjusted models, GMV of the right caudate and bilateral calcarine cortex was associated with sleep quality in CSVD patients. The present study revealed structural brain alterations in CSVD patients with sleep disturbance. These findings may provide novel insights into the neural mechanisms of sleep disturbance in CSVD. MDPI 2023-02-09 /pmc/articles/PMC9953873/ /pubmed/36831837 http://dx.doi.org/10.3390/brainsci13020294 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zhao, Jing
Kong, Qianqian
Zhou, Xirui
Zhang, Yi
Yu, Zhiyuan
Qu, Wensheng
Huang, Hao
Luo, Xiang
Differences in Gray Matter Volume in Cerebral Small Vessel Disease Patients with and without Sleep Disturbance
title Differences in Gray Matter Volume in Cerebral Small Vessel Disease Patients with and without Sleep Disturbance
title_full Differences in Gray Matter Volume in Cerebral Small Vessel Disease Patients with and without Sleep Disturbance
title_fullStr Differences in Gray Matter Volume in Cerebral Small Vessel Disease Patients with and without Sleep Disturbance
title_full_unstemmed Differences in Gray Matter Volume in Cerebral Small Vessel Disease Patients with and without Sleep Disturbance
title_short Differences in Gray Matter Volume in Cerebral Small Vessel Disease Patients with and without Sleep Disturbance
title_sort differences in gray matter volume in cerebral small vessel disease patients with and without sleep disturbance
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9953873/
https://www.ncbi.nlm.nih.gov/pubmed/36831837
http://dx.doi.org/10.3390/brainsci13020294
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