Abnormal subthalamic nucleus functional connectivity and machine learning classification in Parkinson’s disease: a multisite functional magnetic resonance imaging study
This study suggests that STN-temporal/parietal hypoconnectivity warrants further investigation as a possible core feature of PD. Furthermore, it demonstrates the high translational potential of STN-centric FC patterns as diagnostic biomarkers when integrated with machine learning, paving the way for improved PD classification and future applications in personalized neuromodulation strategies.
Authors
- Bin Qin (ORCID: https://orcid.org/0000-0002-9636-9536)
- Shusheng Liao (ORCID: https://orcid.org/0000-0001-8685-600X)
- Yong Tang (ORCID: https://orcid.org/0000-0003-3745-8392)
- Huixun Qin (ORCID: https://orcid.org/0000-0003-1447-4218)
- Wen Gao (ORCID: https://orcid.org/0000-0002-1505-8956)
- Mingxiu Yang
Institutions
- Guangxi Medical University (CN)
- Liuzhou Maternal and Child Health Hospital (CN)
- Liuzhou General Hospital (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2025-12-03
- DOI
- https://doi.org/10.3389/fnagi.2025.1695806
- Primary Topic
- Neurological disorders and treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Guangxi Zhuang Autonomous Region