Functional Alterations in Resting-State Visual Networks in High-Tension Glaucoma: An Independent Component Analysis

• Main Authors: Yi Wang, Weizhao Lu, Yuanzhong Xie, Jian Zhou, Tingqin Yan, Wenhui Han, Jianfeng Qiu
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2020-08-01
• Series: Frontiers in Human Neuroscience
• Subjects: glaucoma; intraocular pressure; independent component analysis; visual network; functional MRI
• Online Access: https://www.frontiersin.org/article/10.3389/fnhum.2020.00330/full

BackgroundHigh-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.MethodsT1-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.ResultsICA 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.ConclusionThe 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.