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Brain Structure Network Analysis in Patients with Obstructive Sleep Apnea

Childhood obstructive sleep apnea (OSA) is a sleeping disorder commonly affecting school-aged children and is characterized by repeated episodes of blockage of the upper airway during sleep. In this study, we performed a graph theoretical analysis on the brain morphometric correlation network in 25...

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Autores principales: Luo, Yun-gang, Wang, Defeng, Liu, Kai, Weng, Jian, Guan, Yuefeng, Chan, Kate C. C., Chu, Winnie C. W., Shi, Lin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587669/
https://www.ncbi.nlm.nih.gov/pubmed/26413809
http://dx.doi.org/10.1371/journal.pone.0139055
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author Luo, Yun-gang
Wang, Defeng
Liu, Kai
Weng, Jian
Guan, Yuefeng
Chan, Kate C. C.
Chu, Winnie C. W.
Shi, Lin
author_facet Luo, Yun-gang
Wang, Defeng
Liu, Kai
Weng, Jian
Guan, Yuefeng
Chan, Kate C. C.
Chu, Winnie C. W.
Shi, Lin
author_sort Luo, Yun-gang
collection PubMed
description Childhood obstructive sleep apnea (OSA) is a sleeping disorder commonly affecting school-aged children and is characterized by repeated episodes of blockage of the upper airway during sleep. In this study, we performed a graph theoretical analysis on the brain morphometric correlation network in 25 OSA patients (OSA group; 5 female; mean age, 10.1 ± 1.8 years) and investigated the topological alterations in global and regional properties compared with 20 healthy control individuals (CON group; 6 females; mean age, 10.4 ± 1.8 years). A structural correlation network based on regional gray matter volume was constructed respectively for each group. Our results revealed a significantly decreased mean local efficiency in the OSA group over the density range of 0.32–0.44 (p < 0.05). Regionally, the OSAs showed a tendency of decreased betweenness centrality in the left angular gyrus, and a tendency of decreased degree in the right lingual and inferior frontal (orbital part) gyrus (p < 0.005, uncorrected). We also found that the network hubs in OSA and controls were distributed differently. To the best of our knowledge, this is the first study that characterizes the brain structure network in OSA patients and invests the alteration of topological properties of gray matter volume structural network. This study may help to provide new evidence for understanding the neuropathophysiology of OSA from a topological perspective.
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spelling pubmed-45876692015-10-01 Brain Structure Network Analysis in Patients with Obstructive Sleep Apnea Luo, Yun-gang Wang, Defeng Liu, Kai Weng, Jian Guan, Yuefeng Chan, Kate C. C. Chu, Winnie C. W. Shi, Lin PLoS One Research Article Childhood obstructive sleep apnea (OSA) is a sleeping disorder commonly affecting school-aged children and is characterized by repeated episodes of blockage of the upper airway during sleep. In this study, we performed a graph theoretical analysis on the brain morphometric correlation network in 25 OSA patients (OSA group; 5 female; mean age, 10.1 ± 1.8 years) and investigated the topological alterations in global and regional properties compared with 20 healthy control individuals (CON group; 6 females; mean age, 10.4 ± 1.8 years). A structural correlation network based on regional gray matter volume was constructed respectively for each group. Our results revealed a significantly decreased mean local efficiency in the OSA group over the density range of 0.32–0.44 (p < 0.05). Regionally, the OSAs showed a tendency of decreased betweenness centrality in the left angular gyrus, and a tendency of decreased degree in the right lingual and inferior frontal (orbital part) gyrus (p < 0.005, uncorrected). We also found that the network hubs in OSA and controls were distributed differently. To the best of our knowledge, this is the first study that characterizes the brain structure network in OSA patients and invests the alteration of topological properties of gray matter volume structural network. This study may help to provide new evidence for understanding the neuropathophysiology of OSA from a topological perspective. Public Library of Science 2015-09-28 /pmc/articles/PMC4587669/ /pubmed/26413809 http://dx.doi.org/10.1371/journal.pone.0139055 Text en © 2015 Luo et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Luo, Yun-gang
Wang, Defeng
Liu, Kai
Weng, Jian
Guan, Yuefeng
Chan, Kate C. C.
Chu, Winnie C. W.
Shi, Lin
Brain Structure Network Analysis in Patients with Obstructive Sleep Apnea
title Brain Structure Network Analysis in Patients with Obstructive Sleep Apnea
title_full Brain Structure Network Analysis in Patients with Obstructive Sleep Apnea
title_fullStr Brain Structure Network Analysis in Patients with Obstructive Sleep Apnea
title_full_unstemmed Brain Structure Network Analysis in Patients with Obstructive Sleep Apnea
title_short Brain Structure Network Analysis in Patients with Obstructive Sleep Apnea
title_sort brain structure network analysis in patients with obstructive sleep apnea
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4587669/
https://www.ncbi.nlm.nih.gov/pubmed/26413809
http://dx.doi.org/10.1371/journal.pone.0139055
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