A digital measure of eye movements during reading sensitively captures oculomotor and speech dysfunction, early changes, and disease progression in ataxias.

Brandon Oubre, Faye Yang, Anna C Luddy, Rohin Manohar, Nancy N Soja, Christopher D Stephen, Jeremy D Schmahmann, Divya Kulkarni, Lawrence White, Siddharth Patel, Anoopum S Gupta
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Abstract

Objective: Sensitive behavioral measures are needed for clinical trials in ataxias and other neurodegenerative diseases. We hypothesized that quantitative analysis of eye movements during a natural multi-component task (passage reading) could produce a measure capable of capturing subclinical signs and disease progression.

Methods: Binocular gaze sampled at 1000 Hz was collected from 102 individuals with ataxia (including 36 spinocerebellar ataxias, 12 Friedreich's ataxia, and 5 multiple system atrophy) and 70 healthy controls. Longitudinal data were available for 26 participants with ataxia in the ongoing natural history study. The Reading Eye Abnormality Digital (READ) score was developed by training a regression model to aggregate saccade and fixation kinematics.

Results: Mean displacement of fixations, the number and frequency of saccades, and the proportion of regressive saccades were related to oculomotor dysfunction, speech dysfunction, and overall ataxia severity. The READ score was reliable (ICC=0.96, p<0.001) and correlated with Brief Ataxia Rating Scale total score (r=0.82, p<0.001), oculomotor (r=0.52, p<0.001) and speech (r=0.73, p<0.001) subscores, and patient reports of function. The READ score detected subclinical oculomotor (AUC=0.69, p=0.02) and speech (AUC=0.72, p<0.001) signs and disease progression (d=0.36, p=0.03). The Brief Ataxia Rating Scale was less sensitive to progression (d=0.27, p=0.08).

Interpretation: Digital measures of eye movements are a promising approach for sensitively measuring ataxia in clinical trials (including early-stage disease) and may have utility in other neurodegenerative diseases affecting speech or ocular control.

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阅读段落时的眼动跟踪可支持对共济失调患者进行精确的眼球运动评估。
在许多共济失调中,眼动异常发生在病程早期。然而,眼动功能的临床评估缺乏准确性,限制了测量进展的敏感性和检测细微早期体征的能力。对日常行为(如阅读)中眼球运动的定量评估有可能克服这些限制,并产生与功能相关的测量。在这项研究中,我们分析了诵读时共济失调患者的眼球运动。在1000赫兹下采集102名共济失调患者(包括36名脊髓小脑共济失调,12名弗里德赖希共济失调,5名多系统萎缩等病症)和70名健康对照者的双眼注视样本,参与Neurobooth研究。对26名患有共济失调的参与者进行了纵向数据分析。根据扫视的方向和位移,将扫视分为渐进式(向右)扫视、倒退式扫视或扫视(主要是在扫描到下一行开始时产生的大位移扫视)。利用28个统计特征对扫视和固定运动学进行了总结。训练线性模型来估计临床执行的共济失调评定量表得分。模型得分可靠(ICC=0.96, pη 2 =0.44, pη 2 =0.27, pη 2 =0.25, pη 2 =0.11, p)
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