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Cortical Structural Connectivity Alterations in Primary Insomnia: Insights from MRI-Based Morphometric Correlation Analysis
The etiology and maintenance of insomnia are proposed to be associated with increased cognitive and physiological arousal caused by acute stressors and associated cognitive rumination. A core feature of such hyperarousal theory of insomnia involves increased sensory processing that interferes with t...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619857/ https://www.ncbi.nlm.nih.gov/pubmed/26539528 http://dx.doi.org/10.1155/2015/817595 |
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author | Zhao, Lu Wang, Enfeng Zhang, Xiaoqi Karama, Sherif Khundrakpam, Budhachandra Zhang, Hongju Guan, Min Wang, Meiyun Cheng, Jingliang Shi, Dapeng Evans, Alan C. Li, Yongli |
author_facet | Zhao, Lu Wang, Enfeng Zhang, Xiaoqi Karama, Sherif Khundrakpam, Budhachandra Zhang, Hongju Guan, Min Wang, Meiyun Cheng, Jingliang Shi, Dapeng Evans, Alan C. Li, Yongli |
author_sort | Zhao, Lu |
collection | PubMed |
description | The etiology and maintenance of insomnia are proposed to be associated with increased cognitive and physiological arousal caused by acute stressors and associated cognitive rumination. A core feature of such hyperarousal theory of insomnia involves increased sensory processing that interferes with the onset and maintenance of sleep. In this work, we collected structural magnetic resonance imaging data from 35 patients with primary insomnia and 35 normal sleepers and applied structural covariance analysis to investigate whether insomnia is associated with disruptions in structural brain networks centered at the sensory regions (primary visual, primary auditory, and olfactory cortex). As expected, insomnia patients showed increased structural covariance in cortical thickness between sensory and motor regions. We also observed trends of increased covariance between sensory regions and the default-mode network, and the salience network regions, and trends of decreased covariance between sensory regions and the frontoparietal working memory network regions, in insomnia patients. The observed changes in structural covariance tended to correlated with poor sleep quality. Our findings support previous functional neuroimaging studies and provide novel insights into variations in brain network configuration that may be involved in the pathophysiology of insomnia. |
format | Online Article Text |
id | pubmed-4619857 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
spelling | pubmed-46198572015-11-04 Cortical Structural Connectivity Alterations in Primary Insomnia: Insights from MRI-Based Morphometric Correlation Analysis Zhao, Lu Wang, Enfeng Zhang, Xiaoqi Karama, Sherif Khundrakpam, Budhachandra Zhang, Hongju Guan, Min Wang, Meiyun Cheng, Jingliang Shi, Dapeng Evans, Alan C. Li, Yongli Biomed Res Int Research Article The etiology and maintenance of insomnia are proposed to be associated with increased cognitive and physiological arousal caused by acute stressors and associated cognitive rumination. A core feature of such hyperarousal theory of insomnia involves increased sensory processing that interferes with the onset and maintenance of sleep. In this work, we collected structural magnetic resonance imaging data from 35 patients with primary insomnia and 35 normal sleepers and applied structural covariance analysis to investigate whether insomnia is associated with disruptions in structural brain networks centered at the sensory regions (primary visual, primary auditory, and olfactory cortex). As expected, insomnia patients showed increased structural covariance in cortical thickness between sensory and motor regions. We also observed trends of increased covariance between sensory regions and the default-mode network, and the salience network regions, and trends of decreased covariance between sensory regions and the frontoparietal working memory network regions, in insomnia patients. The observed changes in structural covariance tended to correlated with poor sleep quality. Our findings support previous functional neuroimaging studies and provide novel insights into variations in brain network configuration that may be involved in the pathophysiology of insomnia. Hindawi Publishing Corporation 2015 2015-10-11 /pmc/articles/PMC4619857/ /pubmed/26539528 http://dx.doi.org/10.1155/2015/817595 Text en Copyright © 2015 Lu Zhao et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhao, Lu Wang, Enfeng Zhang, Xiaoqi Karama, Sherif Khundrakpam, Budhachandra Zhang, Hongju Guan, Min Wang, Meiyun Cheng, Jingliang Shi, Dapeng Evans, Alan C. Li, Yongli Cortical Structural Connectivity Alterations in Primary Insomnia: Insights from MRI-Based Morphometric Correlation Analysis |
title | Cortical Structural Connectivity Alterations in Primary Insomnia: Insights from MRI-Based Morphometric Correlation Analysis |
title_full | Cortical Structural Connectivity Alterations in Primary Insomnia: Insights from MRI-Based Morphometric Correlation Analysis |
title_fullStr | Cortical Structural Connectivity Alterations in Primary Insomnia: Insights from MRI-Based Morphometric Correlation Analysis |
title_full_unstemmed | Cortical Structural Connectivity Alterations in Primary Insomnia: Insights from MRI-Based Morphometric Correlation Analysis |
title_short | Cortical Structural Connectivity Alterations in Primary Insomnia: Insights from MRI-Based Morphometric Correlation Analysis |
title_sort | cortical structural connectivity alterations in primary insomnia: insights from mri-based morphometric correlation analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4619857/ https://www.ncbi.nlm.nih.gov/pubmed/26539528 http://dx.doi.org/10.1155/2015/817595 |
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