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Abnormal Gray Matter Structural Networks in Idiopathic Normal Pressure Hydrocephalus

Purpose: Idiopathic normal pressure hydrocephalus (iNPH) is known as a treatable form of dementia. Network analysis is emerging as a useful method to study neurological disorder diseases. No study has examined changes of structural brain networks of iNPH patients. We aimed to investigate alterations...

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Autores principales: Yin, Le-Kang, Zheng, Jia-Jun, Tian, Jia-Qi, Hao, Xiao-Zhu, Li, Chan-Chan, Ye, Jian-Ding, Zhang, Yu-Xuan, Yu, Hong, Yang, Yan-Mei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249342/
https://www.ncbi.nlm.nih.gov/pubmed/30498441
http://dx.doi.org/10.3389/fnagi.2018.00356
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author Yin, Le-Kang
Zheng, Jia-Jun
Tian, Jia-Qi
Hao, Xiao-Zhu
Li, Chan-Chan
Ye, Jian-Ding
Zhang, Yu-Xuan
Yu, Hong
Yang, Yan-Mei
author_facet Yin, Le-Kang
Zheng, Jia-Jun
Tian, Jia-Qi
Hao, Xiao-Zhu
Li, Chan-Chan
Ye, Jian-Ding
Zhang, Yu-Xuan
Yu, Hong
Yang, Yan-Mei
author_sort Yin, Le-Kang
collection PubMed
description Purpose: Idiopathic normal pressure hydrocephalus (iNPH) is known as a treatable form of dementia. Network analysis is emerging as a useful method to study neurological disorder diseases. No study has examined changes of structural brain networks of iNPH patients. We aimed to investigate alterations in the gray matter (GM) structural network of iNPH patients compared with normal elderly volunteers. Materials and Methods: Structural networks were reconstructed using covariance between regional GM volumes extracted from three-dimensional T1-weighted images of 29 possible iNPH patients and 30 demographically similar normal-control (NC) participants and compared with each other. Results: Global network modularity was significantly larger in the iNPH network (P < 0.05). Global network measures were not significantly different between the two networks (P > 0.05). Regional network analysis demonstrated eight nodes with significantly decreased betweenness located in the bilateral frontal, right temporal, right insula and right posterior cingulate regions, whereas only the left anterior cingulate was detected with significantly larger betweenness. The hubs of the iNPH network were mostly located in temporal areas and the limbic lobe, those of the NC network were mainly located in frontal areas. Conclusions: Network analysis was a promising method to study iNPH. Increased network modularity of the iNPH group was detected here, and modularity analysis should be paid much attention to explore the biomarker to select shunting-responsive patients.
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spelling pubmed-62493422018-11-29 Abnormal Gray Matter Structural Networks in Idiopathic Normal Pressure Hydrocephalus Yin, Le-Kang Zheng, Jia-Jun Tian, Jia-Qi Hao, Xiao-Zhu Li, Chan-Chan Ye, Jian-Ding Zhang, Yu-Xuan Yu, Hong Yang, Yan-Mei Front Aging Neurosci Neuroscience Purpose: Idiopathic normal pressure hydrocephalus (iNPH) is known as a treatable form of dementia. Network analysis is emerging as a useful method to study neurological disorder diseases. No study has examined changes of structural brain networks of iNPH patients. We aimed to investigate alterations in the gray matter (GM) structural network of iNPH patients compared with normal elderly volunteers. Materials and Methods: Structural networks were reconstructed using covariance between regional GM volumes extracted from three-dimensional T1-weighted images of 29 possible iNPH patients and 30 demographically similar normal-control (NC) participants and compared with each other. Results: Global network modularity was significantly larger in the iNPH network (P < 0.05). Global network measures were not significantly different between the two networks (P > 0.05). Regional network analysis demonstrated eight nodes with significantly decreased betweenness located in the bilateral frontal, right temporal, right insula and right posterior cingulate regions, whereas only the left anterior cingulate was detected with significantly larger betweenness. The hubs of the iNPH network were mostly located in temporal areas and the limbic lobe, those of the NC network were mainly located in frontal areas. Conclusions: Network analysis was a promising method to study iNPH. Increased network modularity of the iNPH group was detected here, and modularity analysis should be paid much attention to explore the biomarker to select shunting-responsive patients. Frontiers Media S.A. 2018-11-15 /pmc/articles/PMC6249342/ /pubmed/30498441 http://dx.doi.org/10.3389/fnagi.2018.00356 Text en Copyright © 2018 Yin, Zheng, Tian, Hao, Li, Ye, Zhang, Yu and Yang. http://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
Yin, Le-Kang
Zheng, Jia-Jun
Tian, Jia-Qi
Hao, Xiao-Zhu
Li, Chan-Chan
Ye, Jian-Ding
Zhang, Yu-Xuan
Yu, Hong
Yang, Yan-Mei
Abnormal Gray Matter Structural Networks in Idiopathic Normal Pressure Hydrocephalus
title Abnormal Gray Matter Structural Networks in Idiopathic Normal Pressure Hydrocephalus
title_full Abnormal Gray Matter Structural Networks in Idiopathic Normal Pressure Hydrocephalus
title_fullStr Abnormal Gray Matter Structural Networks in Idiopathic Normal Pressure Hydrocephalus
title_full_unstemmed Abnormal Gray Matter Structural Networks in Idiopathic Normal Pressure Hydrocephalus
title_short Abnormal Gray Matter Structural Networks in Idiopathic Normal Pressure Hydrocephalus
title_sort abnormal gray matter structural networks in idiopathic normal pressure hydrocephalus
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6249342/
https://www.ncbi.nlm.nih.gov/pubmed/30498441
http://dx.doi.org/10.3389/fnagi.2018.00356
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