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Aberrant white matter function and structure in Rhegmatogenous retinal detachment: A study utilizing functional
Yu Ji1, Ben-Liang Shu1, Zhuo-Er Dong1
1Ophthalmology Department of the First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang 330006 Jiangxi Province, China.
Neuroscience
|March 10, 2025
Summary
Rhegmatogenous retinal detachment (RRD) disrupts white matter (WM) networks, affecting visual and cognitive functions. White matter amplitude analysis shows potential as a biomarker for RRD patient identification.
Area of Science:
- Neuroscience
- Ophthalmology
- Medical Imaging
Background:
- Rhegmatogenous retinal detachment (RRD) is associated with visual pathway and gray matter changes.
- White matter (WM) functional and structural alterations in RRD are not well understood.
Purpose of the Study:
- To investigate white matter (WM) functional and structural integrity in RRD patients.
- To identify potential neurobiological markers for RRD classification.
Main Methods:
- Functional clustering networks and TractSeg for WM analysis.
- Support Vector Machine (SVM) algorithms for patient classification.
- Analysis of functional covariance connectivity (FCC) and WM amplitude.
Main Results:
- RRD patients showed reduced FCC between Superior Temporal and Cerebellar Networks.
- Increased WM amplitude observed in the Anterior Corpus Callosum Network.
- Visual acuity negatively correlated with WM amplitudes in Occipital Networks.
- SVM model using WM7_amplitude achieved high classification accuracy (AUC).
Conclusions:
- WM functional and structural integrity are critically disrupted in RRD.
- These disruptions are linked to cognitive and visual deficits.
- WM amplitude analysis offers a promising biomarker for distinguishing RRD patients from healthy controls.
Keywords:
Rhegmatogenous retinal detachmentSupport vector machineTractSegWhite matter functional clustering networkWhite matter structural fiber tracts
