Takahashi Junichi, Hirano Yoji, Miura Kenichiro, Morita Kentaro, Fujimoto Michiko, Yamamori Hidenaga, Yasuda Yuka, Kudo Noriko, Shishido Emiko, Okazaki Kosuke, Shiino Tomoko, Nakao Tomohiro, Kasai Kiyoto, Hashimoto Ryota, Onitsuka Toshiaki
Department of Neuropsychiatry, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Institute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Front Psychiatry. 2021 Aug 10;12:673443. doi: 10.3389/fpsyt.2021.673443. eCollection 2021.
Despite their high lifetime prevalence, major depressive disorder (MDD) is often difficult to diagnose, and there is a need for useful biomarkers for the diagnosis of MDD. Eye movements are considered a non-invasive potential biomarker for the diagnosis of psychiatric disorders such as schizophrenia. However, eye movement deficits in MDD remain unclear. Thus, we evaluated detailed eye movement measurements to validate its usefulness as a biomarker in MDD. Eye movements were recorded from 37 patients with MDD and 400 healthy controls (HCs) using the same system at five University hospitals. We administered free-viewing, fixation stability, and smooth pursuit tests, and obtained 35 eye movement measurements. We performed analyses of covariance with group as an independent variable and age as a covariate. In 4 out of 35 measurements with significant group-by-age interactions, we evaluated aging effects. Discriminant analysis and receiver operating characteristic (ROC) analysis were conducted. In the free-viewing test, scanpath length was significantly shorter in MDD ( = 4.2 × 10). In the smooth pursuit test, duration of saccades was significantly shorter and peak saccade velocity was significantly lower in MDD ( = 3.7 × 10, = 3.9 × 10, respectively). In the fixation stability test, there were no significant group differences. There were significant group differences in the older cohort, but not in the younger cohort, for the number of fixations, duration of fixation, number of saccades, and fixation density in the free-viewing test. A discriminant analysis using scanpath length in the free-viewing test and peak saccade velocity in the smooth pursuit showed MDD could be distinguished from HCs with 72.1% accuracy. In the ROC analysis, the area under the curve was 0.76 (standard error = 0.05, = 1.2 × 10, 95% confidence interval = 0.67-0.85). These results suggest that detailed eye movement tests can assist in differentiating MDD from HCs, especially in older subjects.
尽管重度抑郁症(MDD)在人群中的终生患病率很高,但往往难以诊断,因此需要有用的生物标志物来辅助MDD的诊断。眼动被认为是一种用于诊断精神疾病(如精神分裂症)的非侵入性潜在生物标志物。然而,MDD患者的眼动缺陷仍不明确。因此,我们评估了详细的眼动测量结果,以验证其作为MDD生物标志物的有效性。我们在五所大学医院使用同一系统,记录了37例MDD患者和400名健康对照者(HCs)的眼动情况。我们进行了自由观看、注视稳定性和平稳跟踪测试,并获得了35项眼动测量数据。我们以组为自变量、年龄为协变量进行了协方差分析。在35项存在显著的组与年龄交互作用的测量中,我们评估了衰老效应。进行了判别分析和受试者工作特征(ROC)分析。在自由观看测试中,MDD患者的扫描路径长度显著较短(= 4.2 × 10)。在平稳跟踪测试中,MDD患者的扫视持续时间显著较短,扫视峰值速度显著较低(分别为= 3.7 × 10,= 3.9 × 10)。在注视稳定性测试中,两组之间没有显著差异。在自由观看测试中,老年组在注视次数、注视持续时间、扫视次数和注视密度方面存在显著的组间差异,而年轻组则没有。使用自由观看测试中的扫描路径长度和平稳跟踪测试中的扫视峰值速度进行判别分析显示,MDD与HCs的区分准确率为72.1%。在ROC分析中,曲线下面积为0.76(标准误 = 0.05,= 1.2 × 10,95%置信区间 = 0.67 - 0.85)。这些结果表明,详细的眼动测试有助于区分MDD和HCs,尤其是在老年受试者中。