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.
Bibliographical noteFunding Information:
The research reported in this paper was completed as part of the first author’s (Astar Lev) M.A. dissertation (Bar-Ilan University, Ramat Gan, Israel) and the undergraduate program requirements of Adi Narov, Adi Zafrir, Amit Yarkoni, Eden Katzav, Ela Drookman, Sean Shachar, and Tzoor Cohen. We thank them for their invaluable contribution to the study. Finally, we thank Corrine Berger who took part in the research project, as well as Estie Arram for proofreading and editing the final version of the manuscript. The author(s) received no financial support for the research, authorship, and/or publication of this article.
© ©The Author(s) 2020.
- continuous performance tests
- eye movements