ArticleAging clinical and experimental research2025
Eye movement parameters as biomarkers for diagnosis and levodopa responsiveness in patients with Parkinson's disease.
Article in Aging clinical and experimental research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Exploring eye movement abnormalities as objective biomarkers for Parkinson's disease utilizing virtual reality-based eye tracking.BMC neurology · 2026Article
- Smooth pursuit eye movements in different directions and frequencies as biomarkers for detecting early stage Parkinson's disease and assessing levodopa responsiveness: a cross-sectional study.European journal of medical research · 2025Observational
- Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundAbnormalities in characteristic eye movements have been identified in Parkinson's disease (PD) patients.
aimTo determine if eye movement parameters can serve as biomarkers for diagnosing PD and predicting therapeutic responses to levodopa.
methodsWe enrolled 128 PD patients and 28 healthy controls, assessing eye movements before and after levodopa administration.
resultsSpecific eye movement parameters robustly differentiated PD patients from controls, with an AUC of 0.856, and maintained robustness post-levodopa. Correlations were found between changes in eye movement parameters and motor symptom improvements, leading to a predictive model for levodopa responsiveness with an AUC of 0.783. DISCUSSION AND
conclusionsEye movement assessments offer an objective tool for PD diagnosis and levodopa responsiveness prediction.
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