Fixational microsaccades: A quantitative and objective measure of disability in multiple sclerosis
Fixational microsaccades: A quantitative and objective measure of disability in multiple sclerosis
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DOI：
10.1177/1352458519894712
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发表时间：
2020-02-07
影响因子：
5.8
通讯作者：
Green, Ari J.
中科院分区：
文献类型：
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作者：
Sheehy, Christy K.;Bensinger, Ethan S.;Green, Ari J.
背景：缺乏多发性硬化症（MS）预后和疾病进展监测的客观工具。视觉运动系统可用于通过监测注视微扫视来跟踪微米尺度的运动功能障碍。目的：本研究的目的是评估微扫视是否与标准 MS 残疾指标相关，并评估这些方法是否在 MS 残疾中发挥预测作用。方法：我们使用定制的视网膜眼动仪，即跟踪扫描激光检眼镜 (TSLO)，记录了 111 名 MS 参与者和 100 名 MS 参与者的注视情况。结果：在多发性硬化症参与者中，更多的微扫视与更高的扩展残疾状态量表评分（EDSS，p < 0.001）、九孔钉测试（非显性：p = 0.006）、符号数字模态测试（SMDT，p = 0.014）和功能系统评分（FSS）（包括脑干）（p = 0.005）显着相关。小脑（p = 0.011）和锥体（p = 0.009）。脑干 FSS 和患者报告的疲劳均与微跳频次数、幅度和峰值加速度显着相关。与对照组相比，多发性硬化症参与者的平均数量 (p = 0.020)、峰值垂直加速度 (p = 0.003) 和垂直幅度 (p < 0.001) 具有统计学差异。使用 TSLO 微眼跳指标和临床旁测试创建 MS 残疾的逻辑回归模型，准确率 > 80%。结论：微眼跳提供了 MS 残疾水平和疾病恶化的客观测量。
Background:Objective tools for prognosis and disease progression monitoring in multiple sclerosis (MS) are lacking. The visuomotor system could be used to track motor dysfunction at the micron scale through the monitoring of fixational microsaccades.Aims:The aim of this study was to evaluate whether microsaccades are correlated with standard MS disability metrics and to assess whether these methods play a predictive role in MS disability.Method:We used a custom-built retinal eye tracker, the tracking scanning laser ophthalmoscope (TSLO), to record fixation in 111 participants with MS and 100 unaffected controls.Results:In MS participants, a greater number of microsaccades showed significant association with higher Expanded Disability Status Scale score (EDSS, p < 0.001), nine-hole peg test (non-dominant: p = 0.006), Symbol Digit Modalities Test (SMDT, p = 0.014), and Functional Systems Scores (FSS) including brainstem (p = 0.005), cerebellar (p = 0.011), and pyramidal (p = 0.009). Both brainstem FSS and patient-reported fatigue showed significant associations with microsaccade number, amplitude, and peak acceleration. Participants with MS showed a statistically different average number (p = 0.020), peak vertical acceleration (p = 0.003), and vertical amplitude (p < 0.001) versus controls. Logistic regression models for MS disability were created using TSLO microsaccade metrics and paraclinical tests with > 80% accuracy.Conclusion:Microsaccades provide objective measurements of MS disability level and disease worsening.