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Background <p>Abnormalities in characteristic eye movements have been identified in Parkinson’s disease (PD) patients.</p> Aim <p>To determine if eye movement parameters can serve as biomarkers for diagnosing PD and predicting therapeutic responses to levodopa.</p> Methods <p>We enrolled 128 PD patients and 28 healthy controls, assessing eye movements before and after levodopa administration.</p> Results <p>Specific 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.</p> Discussion and conclusions <p>Eye movement assessments offer an objective tool for PD diagnosis and levodopa responsiveness prediction.</p>

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Eye movement parameters as biomarkers for diagnosis and levodopa responsiveness in patients with Parkinson’s disease

  • 期刊论文

  • 出版模式：

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  • 发表日期：

    2025年6月6日

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  • Qibing Luo,
  • Ziqi Gao,
  • Qi Qi,
  • Siming Rong,
  • Rui Yang,
  • Chentao He,
  • Mengfei Cai,
  • Piao Zhang,
  • Yuhu Zhang

摘要

Background

Abnormalities in characteristic eye movements have been identified in Parkinson’s disease (PD) patients.

Aim

To determine if eye movement parameters can serve as biomarkers for diagnosing PD and predicting therapeutic responses to levodopa.

Methods

We enrolled 128 PD patients and 28 healthy controls, assessing eye movements before and after levodopa administration.

Results

Specific 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 conclusions

Eye movement assessments offer an objective tool for PD diagnosis and levodopa responsiveness prediction.