Cerebellar and Brainstem White Matter Geometric Alterations in Multiple System Atrophy: A <scp>DFA</scp> ‐Based Biomarker for Disease Staging
DFA captures circuit-specific white matter pathology in MSA-C, with brainstem twist emerging as a novel biomarker associated with disease stage. The integration of geometric metrics with automated machine learning provides a robust framework for early diagnosis and disease staging, highlighting distinct neurodegenerative mechanisms in cerebellar versus brainstem pathways.
Authors
- Jian Cheng (ORCID: https://orcid.org/0000-0003-1435-673X)
- Xinxi Lu (ORCID: https://orcid.org/0000-0002-1652-3434)
- Haogang Zhu (ORCID: https://orcid.org/0000-0003-1771-2752)
- Shunwei Zhu
- Ni Shu (ORCID: https://orcid.org/0000-0003-2420-2910)
- Tao Liu (ORCID: https://orcid.org/0000-0002-7783-3073)
- Hua Zhu (ORCID: https://orcid.org/0009-0009-6719-1044)
- Meixin Zhao
- Lin Hua (ORCID: https://orcid.org/0000-0003-2031-8799)
- Yuxuan Shao (ORCID: https://orcid.org/0009-0002-2555-2074)
- Ziyan Zhu (ORCID: https://orcid.org/0009-0004-3534-1048)
Institutions
- McGovern Institute for Brain Research (US)
- Capital Medical University (CN)
- Peking University (CN)
- Beijing Normal University (CN)
- Chinese Institute for Brain Research (CN)
- Peking University Third Hospital (CN)
- Beihang University (CN)
Publication Details
- Journal
- CNS Neuroscience & Therapeutics
- Published
- 2025-11-30
- DOI
- https://doi.org/10.1111/cns.70623
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Zhejiang University
- Peking University
- Peking University Third Hospital
- National Key Research and Development Program of China