Objective:

The use of continuous performance tests (CPTs) for assessing ADHD related cognitive impairment is ubiquitous. Novel psychophysiological measures may enhance the data that is derived from CPTs and thereby improve clinical decision-making regarding diagnosis and treatment. As part of the current study, we integrated an eye tracker with the MOXO-dCPT and assessed the utility of eye movement measures to differentiate ADHD patients and healthy controls.

Method:

Adult ADHD patients and gender/age-matched healthy controls performed the MOXO-dCPT while their eye movements were monitored (n = 33 per group).

Results:

ADHD patients spent significantly more time gazing at irrelevant regions, both on the screen and outside of it, than healthy controls. The eye movement measures showed adequate ability to classify ADHD patients. Moreover, a scale that combined eye movement measures enhanced group prediction, compared to the sole use of conventional MOXO-dCPT indices.

Conclusions:

Integrating an eye tracker with CPTs is a feasible way of enhancing diagnostic precision and shows initial promise for clarifying the cognitive profile of ADHD patients. Pending replication, these findings point toward a promising path for the evolution of existing CPTs.

中文翻译：

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连续性能测试期间的眼动追踪：评估 ADHD 患者的实用程序

客观的：

使用连续性能测试 (CPT) 来评估与 ADHD 相关的认知障碍是普遍存在的。新的心理生理学措施可能会增强来自 CPT 的数据，从而改善有关诊断和治疗的临床决策。作为当前研究的一部分，我们将眼动仪与 MOXO-dCPT 相结合，并评估了眼动测量在区分 ADHD 患者和健康对照方面的效用。

方法：

成人 ADHD 患者和性别/年龄匹配的健康对照组在监测眼球运动的同时进行 MOXO-dCPT（每组n = 33）。

结果：

与健康对照组相比，ADHD 患者在屏幕内外注视无关区域的时间要多得多。眼球运动测量显示了对 ADHD 患者进行分类的足够能力。此外，与单独使用传统 MOXO-dCPT 指数相比，结合眼球运动测量的量表增强了群体预测。

结论：

将眼动仪与 CPT 相结合是一种提高诊断精度的可行方法，并显示出阐明 ADHD 患者认知特征的初步希望。在复制之前，这些发现为现有 CPT 的发展指明了一条有希望的道路。