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Morphometric Analyses of Retinal Sections
Published on: February 19, 2012
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Cortical functional and structural alterations in rhegmatogenous retinal detachment: a multimodal analysis using
Yu Ji1, Zhuo-Er Dong1, Yi-Chong Duan1
1Department of Ophthalmology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Quantitative Imaging in Medicine and Surgery
|October 13, 2025
Summary
Rhegmatogenous retinal detachment (RRD) patients exhibit significant cortical functional and structural abnormalities. Altered functional connectivity in the visual network (VN1) may serve as a key neuroimaging marker for diagnosing RRD.
Area of Science:
- Neuroimaging
- Ophthalmology
- Neurology
Background:
- Previous research indicates visual pathway and gray matter abnormalities in rhegmatogenous retinal detachment (RRD) patients.
- The full extent of cortical functional and structural changes in RRD remains unclear.
- This study investigates cortical alterations in RRD for potential neuroimaging marker utility.
Purpose of the Study:
- To characterize cortical functional and structural changes in RRD patients.
- To explore the utility of these changes as neuroimaging markers for RRD diagnosis.
Main Methods:
- Surface-based independent component analysis (ICA) and morphological measurements were employed.
- Support vector machine (SVM) and SHapley Additive exPlanations (SHAP) were used for classification and feature identification.
- RRD patients were compared against healthy controls (HCs).
Main Results:
- RRD patients showed increased functional connectivity (FC) in visual, cognitive, auditory, and motor networks.
- Enhanced functional network connectivity (FNC) was observed between the visual network (VN) and sensorimotor network (SMN).
- Cortical thinning was significant in specific regions of the left and right hemispheres, including the lateral occipital cortex and pericalcarine cortex.
Conclusions:
- Pronounced functional and structural cortical abnormalities are present in RRD patients, potentially contributing to visual and cognitive deficits.
- Functional connectivity alterations in the VN1 region demonstrate potential as a robust neuroimaging indicator for distinguishing RRD patients from HCs.
- These findings highlight the value of early neuroimaging markers for RRD diagnosis and intervention.
