Abnormal Multilayer Brain Network in Early-Stage Akinetic-Rigid Parkinson’s Disease
Motivation: This study uses multilayer neural network techniques to explore brain network abnormalities in early-stage Akinetic-Rigid Parkinson's Disease (AR-PD). Goal(s): AR-PD patients exhibit rapid clinical progression, necessitating early detection of abnormal brain network activity. Approach: To investigate the relationship between dynamic brain network properties (modularity and switching rates) and clinical scores in AR-PD. Results: fMRI data from 38 AR-PD patients and 39 controls were analyzed using a multilayer neural network model. Impact: AR-PD patients showed abnormal dynamic brain network switching and increased modularity, linked to clinical measures like motor function.
Authors
- Xianchang Zhang
- Yu Shen (ORCID: https://orcid.org/0000-0003-4862-1212)
- Wei Wei (ORCID: https://orcid.org/0000-0002-7566-2995)
- Xinhui Wang (ORCID: https://orcid.org/0000-0002-2341-8720)
- Meiyun Wang (ORCID: https://orcid.org/0000-0001-9920-9610)
- Yan Bai (ORCID: https://orcid.org/0000-0003-2421-4129)
- Kaixin Li (ORCID: https://orcid.org/0000-0003-4496-5448)
- Yao Ge (ORCID: https://orcid.org/0000-0001-6314-3891)
- Keyang Ding
- Mengzhu Wang
Publication Details
- Journal
- Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
- Published
- 2025-09-16
- DOI
- https://doi.org/10.58530/2025/1566
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00