Related Experiment Video
Updated: Jun 5, 2025
12:09
Network Analysis of the Default Mode Network Using Functional Connectivity MRI in Temporal Lobe Epilepsy
Published on: August 5, 2014
18.0K
Abnormal intrinsic brain functional network dynamics in patients with retinal detachment based on graph theory and
Yuanyuan Wang1, Yu Ji2, Jie Liu1
1Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Heliyon
|December 11, 2024
Summary
Brain network analysis reveals reduced information exchange efficiency in patients with retinal detachment (RD). Dynamic functional connectivity patterns and topological properties can effectively distinguish RD patients from healthy controls.
Area of Science:
- Neuroscience
- Medical Imaging
- Systems Biology
Background:
- Retinal detachment (RD) is increasingly studied for its effects on brain plasticity and remodeling.
- However, the specific changes in dynamic functional network topology in RD patients remain unclear.
Purpose of the Study:
- To investigate the topological structure of dynamic brain functional networks in individuals with RD.
- To identify differences in dynamic functional connectivity (dFC) patterns between RD patients and healthy controls (HCs).
Main Methods:
- Resting-state fMRI was used to scan 32 RD patients and 33 HCs.
- Sliding window analysis and K-means clustering identified dFC variability patterns.
- Graph theory and machine learning (SVM) analyzed network topology and classification.
Main Results:
- RD patients showed fewer transitions between four distinct dFC states compared to HCs.
- Significant alterations in global and node-specific dynamic topological properties were observed in RD patients, correlating with clinical parameters.
- A support vector machine model achieved high accuracy (0.938) in distinguishing RD patients from HCs.
Conclusions:
- Altered brain network topology in RD patients suggests reduced integration and information exchange efficiency.
- Dynamic topological properties show potential for differentiating RD from healthy individuals.
