Effects of primary angle-closure glaucoma on interhemispheric functional connectivity

被引:7
|
作者
Shu, Yongqiang [1 ]
Huang, Yuying [1 ]
Chen, Jingting [1 ]
Chen, Liting [2 ]
Cai, Guoqian [1 ]
Guo, Yu [1 ]
Li, Shenghong [1 ]
Gao, Junwei [1 ]
Zeng, Xianjun [1 ]
机构
[1] Nanchang Univ, Affiliated Hosp 1, Dept Radiol, Nanchang, Peoples R China
[2] Jinan Univ, Affiliated Hosp 1, Med Imaging Ctr, Guangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
glaucoma; functional magnetic resonance imaging; resting state; voxel-mirrored homotopic connectivity; functional connectivity; PRIMARY VISUAL-CORTEX;
D O I
10.3389/fnins.2023.1053114
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
BackgroundPrevious studies on primary angle-closure glaucoma (PACG) primarily focused on local brain regions or global abnormal brain activity; however, the alteration of interhemispheric functional homotopy and its possible cause of brain-wide functional connectivity abnormalities have not been well-studied. Little is known about whether brain functional alteration could be used to differentiate from healthy controls (HCs) and its correlation with neurocognitive impairment. MethodsForty patients with PACG and 40 age- and sex-matched healthy controls were recruited for this study; resting-state functional magnetic resonance imaging (rs-fMRI), and clinical data were collected. We used the voxel-mirrored homotopic connectivity (VMHC) method to explore between-group differences and selected brain regions with statistically significant differences as regions of interest for whole-brain functional connectivity analysis. Partial correlation was used to evaluate the association between abnormal VMHC values in significantly different regions and clinical parameters, with with age and sex as covariates. Finally, the support vector machine (SVM) model was performed in classification prediction of PACG. ResultsCompared with healthy controls, patients with PACG exhibited significantly decreased VMHC values in the lingual gyrus, insula, cuneus, and pre- and post-central gyri; no regions exhibited increased VMHC values. Subsequent functional connectivity analysis revealed extensive functional changes in functional networks, particularly the default mode, salience, visual, and sensorimotor networks. The SVM model showed good performance in classification prediction of PACG, with an area under curve (AUC) of 0.85. ConclusionAltered functional homotopy of the visual cortex, sensorimotor network, and insula may lead to impairment of visual function in PACG, suggesting that patients with PACG may have visual information interaction and integration dysfunction.
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页数:11
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