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Dataset Information

Cortical functional and structural alterations in rhegmatogenous retinal detachment: a multimodal analysis using surface-based independent component analysis, morphometry, and machine learning.


ABSTRACT:

Background

Although previous research has identified functional abnormalities in visual pathways and gray matter areas linked to visual processing in patients with rhegmatogenous retinal detachment (RRD), the precise nature and extent of cortical functional and structural disruptions in these individuals remain insufficiently explored. This study aimed to characterize cortical changes in RRD and investigate their utility as neuroimaging markers.

Methods

This study used surface-based independent component analysis (ICA) and morphological measurement techniques to investigate cortical functional and structural changes in RRD patients. Subsequently, it applied support vector machine (SVM) and SHapley Additive exPlanations (SHAP) methods to classify RRD patients and healthy cont

SUBMITTER: Ji Y 

PROVIDER: S-EPMC12514644 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature