Disrupted functional topology of the white matter connectome in rhegmatogenous retinal detachment: insights from graph theory and machine learning

These findings suggest that RRD disrupts critical hubs within the central visual and higher-order cognitive networks, leading to characteristic network reorganization. Moreover, Bc shows promise as an early neuroimaging biomarker for RRD. Overall, our results advance the understanding of neuroadaptive changes in RRD and support the clinical application of network topological metrics in early diagnosis.

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Publication Details

Journal
Neuroreport
Published
2025-06-24
DOI
https://doi.org/10.1097/wnr.0000000000002190
Citations
1
Primary Topic
Functional Brain Connectivity Studies
Type
article
Field-Weighted Citation Impact
1.43
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article

Disrupted functional topology of the white matter connectome in rhegmatogenous retinal detachment: insights from graph theory and machine learning

Lili Yao, Zhizhong Dong, Yu Ji, Xiaorong Wu et al.
1 citations
Neuroreport
Functional Brain Connectivity Studies
1.43
article

Disrupted functional topology of the white matter connectome in rhegmatogenous retinal detachment: insights from graph theory and machine learning

Lili Yao, Zhizhong Dong, Yu Ji, Xiaorong Wu, Yang Duan
article en
1 citations

Abstract

These findings suggest that RRD disrupts critical hubs within the central visual and higher-order cognitive networks, leading to characteristic network reorganization. Moreover, Bc shows promise as an early neuroimaging biomarker for RRD. Overall, our results advance the understanding of neuroadaptive changes in RRD and support the clinical application of network topological metrics in early diagnosis.

NeuroreportVol. 36(12)
Nanchang University (CN)
Reduced inequalities
Openalex Percentile: Top 18%
Functional Brain Connectivity Studies
1.43
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