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Functional Alterations in Resting-State Visual Networks in High-Tension Glaucoma: An Independent Component Analysis
BACKGROUND: High-tension glaucoma (HTG) is the most common type of primary open angle glaucoma and elevated intraocular pressure (IOP) is the major risk factor of the disease. The aim of this study was to assess alterations in resting-state visual networks in patients with HTG and investigate the ef...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438896/ https://www.ncbi.nlm.nih.gov/pubmed/32903668 http://dx.doi.org/10.3389/fnhum.2020.00330 |
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author | Wang, Yi Lu, Weizhao Xie, Yuanzhong Zhou, Jian Yan, Tingqin Han, Wenhui Qiu, Jianfeng |
author_facet | Wang, Yi Lu, Weizhao Xie, Yuanzhong Zhou, Jian Yan, Tingqin Han, Wenhui Qiu, Jianfeng |
author_sort | Wang, Yi |
collection | PubMed |
description | BACKGROUND: High-tension glaucoma (HTG) is the most common type of primary open angle glaucoma and elevated intraocular pressure (IOP) is the major risk factor of the disease. The aim of this study was to assess alterations in resting-state visual networks in patients with HTG and investigate the effect of elevated IOP on the visual networks. METHODS: T1-weighted and resting-state functional MRI images were acquired from 36 HTG patients (aged 49.22 ± 15.26 years) and 20 healthy controls (aged 49.90 ± 5.62 years). Group independent component analysis (ICA) was utilized to evaluate altered functional connectivity (FC) in resting-state visual networks between HTG patients and healthy controls. Pearson correlation analysis between mean IOP and altered FCs in the visual networks was performed. RESULTS: ICA demonstrated decreased FCs in HTG group in the left calcarine cortex of the lateral visual network, in the bilateral lingual gyrus of the medial visual network and in the bilateral lingual gyrus of the occipital visual network compared with healthy controls. Furthermore, correlation analysis revealed negative correlation between mean IOP and altered FC within the lateral visual network. CONCLUSION: The results suggested reduced FCs between primary and higher visual cortices in HTG brain. The IOP elevation might be responsible for the functional alterations in the visual networks. |
format | Online Article Text |
id | pubmed-7438896 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-74388962020-09-03 Functional Alterations in Resting-State Visual Networks in High-Tension Glaucoma: An Independent Component Analysis Wang, Yi Lu, Weizhao Xie, Yuanzhong Zhou, Jian Yan, Tingqin Han, Wenhui Qiu, Jianfeng Front Hum Neurosci Neuroscience BACKGROUND: High-tension glaucoma (HTG) is the most common type of primary open angle glaucoma and elevated intraocular pressure (IOP) is the major risk factor of the disease. The aim of this study was to assess alterations in resting-state visual networks in patients with HTG and investigate the effect of elevated IOP on the visual networks. METHODS: T1-weighted and resting-state functional MRI images were acquired from 36 HTG patients (aged 49.22 ± 15.26 years) and 20 healthy controls (aged 49.90 ± 5.62 years). Group independent component analysis (ICA) was utilized to evaluate altered functional connectivity (FC) in resting-state visual networks between HTG patients and healthy controls. Pearson correlation analysis between mean IOP and altered FCs in the visual networks was performed. RESULTS: ICA demonstrated decreased FCs in HTG group in the left calcarine cortex of the lateral visual network, in the bilateral lingual gyrus of the medial visual network and in the bilateral lingual gyrus of the occipital visual network compared with healthy controls. Furthermore, correlation analysis revealed negative correlation between mean IOP and altered FC within the lateral visual network. CONCLUSION: The results suggested reduced FCs between primary and higher visual cortices in HTG brain. The IOP elevation might be responsible for the functional alterations in the visual networks. Frontiers Media S.A. 2020-08-12 /pmc/articles/PMC7438896/ /pubmed/32903668 http://dx.doi.org/10.3389/fnhum.2020.00330 Text en Copyright © 2020 Wang, Lu, Xie, Zhou, Yan, Han and Qiu. 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 Wang, Yi Lu, Weizhao Xie, Yuanzhong Zhou, Jian Yan, Tingqin Han, Wenhui Qiu, Jianfeng Functional Alterations in Resting-State Visual Networks in High-Tension Glaucoma: An Independent Component Analysis |
title | Functional Alterations in Resting-State Visual Networks in High-Tension Glaucoma: An Independent Component Analysis |
title_full | Functional Alterations in Resting-State Visual Networks in High-Tension Glaucoma: An Independent Component Analysis |
title_fullStr | Functional Alterations in Resting-State Visual Networks in High-Tension Glaucoma: An Independent Component Analysis |
title_full_unstemmed | Functional Alterations in Resting-State Visual Networks in High-Tension Glaucoma: An Independent Component Analysis |
title_short | Functional Alterations in Resting-State Visual Networks in High-Tension Glaucoma: An Independent Component Analysis |
title_sort | functional alterations in resting-state visual networks in high-tension glaucoma: an independent component analysis |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7438896/ https://www.ncbi.nlm.nih.gov/pubmed/32903668 http://dx.doi.org/10.3389/fnhum.2020.00330 |
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