Analysis of eye movement features in patients with Alzheimer's disease based on intelligent eye movement analysis and evaluation system

作者：Meichun Tao, Lei Cui, Yuanyuan Du, Xiaotang Liu, Can Wang, Jing Zhao, Huimin Qiao, Zhenzhong Li, Mei Dong · 发表于：Journal of Alzheimer s Disease · 年份：2024 · DOI：10.1177/13872877241297416 · 被引用次数：10 · 研究领域：Gaze Tracking and Assistive Technology、Dementia and Cognitive Impairment Research、Ophthalmology and Visual Impairment Studies

Background The early identification of Alzheimer's disease (AD) benefits patients, so creating a simple and convenient method is crucial for diagnosing early symptoms. Objective To offer a potential approach for the early detection of both AD and mild cognitive impairment (MCI). Methods Eye movement data from 66 patients were divided into three groups, including healthy control group (HC), MCI group, and AD group. We searched for parameters that can detect MCI at an early stage and drew receiver operating characteristic (ROC) curves. The correlation between eye movement parameters and cognitive scores was analyzed. Results The MCI group differed from the HC group in error correction rate of antisaccade ( p = 0.008) and total offset degrees (>4°) ( p = 0.011) of lateral fixation. The AD group had different overlap prosaccade accuracy ( p = 0.025), latency ( p = 0.009) and average completion time ( p = 0.015), gap prosaccade latency ( p = 0.005) and average completion time ( p = 0.005), antisaccade accuracy ( p = 0.006), error correction rate ( p < 0.001) and average saccade velocity ( p = 0.035), and lateral fixation accuracy ( p = 0.018), total offset degrees (>4°) ( p = 0.041) compared to the HC group. The AD group differed significantly from the MCI group in accuracy ( p = 0.001) and error correction rate ( p = 0.044) of antisaccades, the latency ( p = 0.009) and average completion time ( p = 0.025) of overlap prosaccade and the latency ( p = 0.038) of gap prosacca...