Eye movement and pupillary response abnormalities measured using virtual reality as biomarkers in the diagnosis of early-stage Parkinson’s disease
This study presents a non-invasive approach toward the diagnosis of early-stage PD with VR technology. Eye movement and pupillary response abnormalities measured using VR may be used as effective biomarkers for the diagnosis of early-stage PD.
Authors
- Xucheng Zhang (ORCID: https://orcid.org/0000-0001-8998-949X)
- Jichen Du (ORCID: https://orcid.org/0009-0000-1385-1347)
- Feng Tian (ORCID: https://orcid.org/0000-0003-3552-4536)
- Zhirong Wan
- Wei Sun (ORCID: https://orcid.org/0000-0003-2706-7814)
- Shuang Ma (ORCID: https://orcid.org/0000-0001-7125-5279)
- Peifu Wang (ORCID: https://orcid.org/0000-0003-4993-1386)
- Jilai Li
- Chong Shi (ORCID: https://orcid.org/0009-0005-1527-2847)
- Jing Zhao
- Xingquan Zhao
Institutions
- Capital Medical University (CN)
- Chinese Academy of Sciences (CN)
- Beijing Tian Tan Hospital (CN)
- Beijing Academy of Artificial Intelligence (CN)
- Aerospace Center Hospital (CN)
- Institute of Software (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-04-23
- DOI
- https://doi.org/10.3389/fneur.2025.1537841
- Citations
- 1
- Primary Topic
- Parkinson's Disease Mechanisms and Treatments
- Type
- article
- Field-Weighted Citation Impact
- 1.39