Multimodal data-driven eye-movement subtypes and their cerebral glucose metabolic patterns in Parkinson’s disease
Integrating eye-movement digital phenotypes with FDG-PET metabolism may provide complementary information for cognitive-domain profiling and assessment in PD. Longitudinal studies and independent cohort validation are needed to confirm stability and clinical translatability.
Authors
- Xin Luo (ORCID: https://orcid.org/0000-0002-1740-2765)
- Yifan Zhang (ORCID: https://orcid.org/0000-0002-0629-0200)
- Jun Huang (ORCID: https://orcid.org/0009-0006-8549-4098)
- Guoyang Li Guoyang Li
- Xucheng Zhang
- Xiangcheng Wang
- Wenli Zhang
- Huahui Zou
Institutions
- Jinan University (CN)
- Chinese Academy of Sciences (CN)
- Southern University of Science and Technology (CN)
- Second Hospital of Shandong University (CN)
- Institute of Software (CN)
- Shenzhen Bao'an District People's Hospital (CN)
- Shenzhen Second People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Aging Neuroscience
- Published
- 2026-03-11
- DOI
- https://doi.org/10.3389/fnagi.2026.1794652
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00