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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
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.
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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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