Investigation of the static and dynamic brain network mechanisms in patients with rhegmatogenous retinal detachment based on independent component analysis

•We investigated static and dynamic brain networks alterations in RRD patients.•RRD patients demonstrated alterations in both primary sensory networks and higher-order cognitive networks.•These results offer insights into the neural mechanisms of visual loss in RRD. Previous neuroimaging studies hav...

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Bibliographic Details
Published in:	Neuroscience Vol. 570; pp. 84 - 94
Main Authors:	Ji, Yu, Wei, Bin, Dan, Yu-jing, Cheng, Qi, Fu, Wen-wen, Shu, Ben-liang, Huang, Qin-yi, Chai, Hua, Zhou, Lin, Yuan, Hao-yu, Wu, Xiao-rong
Format:	Journal Article
Language:	English
Published:	United States Elsevier Inc 27.03.2025
Subjects:	Adult Brain - diagnostic imaging Brain - physiopathology Female Functional connectivity Humans Independent component analysis K-means clustering method Magnetic Resonance Imaging - methods Male Middle Aged Nerve Net - diagnostic imaging Nerve Net - physiopathology Neural Pathways - diagnostic imaging Neural Pathways - physiopathology Resting-state functional magnetic resonance imaging Retinal Detachment - diagnostic imaging Retinal Detachment - physiopathology Rhegmatogenous retinal detachment Support Vector Machine Functional connectivity Support vector machine Rhegmatogenous retinal detachment Resting-state functional magnetic resonance imaging K-means clustering method Independent component analysis
ISSN:	0306-4522, 1873-7544, 1873-7544
Online Access:	Get full text
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