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Multilayer network analysis in patients with end-stage kidney disease
Jiyae Yi1, Chang Min Heo1, Bong Soo Park1
1Departments of Internal Medicine, Haeundae Paik Hospital, Inje University College of Medicine, Busan, South Korea.
Scientific Reports
|December 31, 2024
Summary
Patients with end-stage kidney disease (ESKD) show altered brain network communication. Their multilayer brain networks, combining structural and functional data, exhibit reduced weighted multiplex participation compared to healthy individuals.
Area of Science:
- Neuroscience
- Medical Imaging
- Network Science
Background:
- End-stage kidney disease (ESKD) can affect brain function.
- Understanding brain network alterations in ESKD is crucial for patient care.
Purpose of the Study:
- To investigate differences in multilayer brain networks between ESKD patients and healthy controls.
- To identify specific network alterations associated with ESKD.
Main Methods:
- Utilized T1-weighted imaging, diffusion tensor imaging (DTI), and resting-state functional MRI (rs-fMRI).
- Generated structural and functional connectivity matrices.
- Performed multilayer network analysis using BRAPH software.
Main Results:
- Global multilayer network analysis revealed significant differences between ESKD patients and controls.
- Patients with ESKD exhibited lower weighted multiplex participation (0.6454 vs. 0.7212, p=0.049).
- Reduced participation was observed in specific brain regions, including the right subcentral gyrus and right inferior frontal gyrus.
Conclusions:
- The study demonstrates distinct multilayer brain network structures in ESKD patients.
- Altered weighted multiplex participation suggests disrupted integrated communication in the brain of ESKD patients.
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