Computerized eye-tracking training improves the saccadic eye movements of children with attention-deficit/hyperactivity disorder

Tsz Lok Lee, Michael K. Yeung, Sophia L. Sze, Agnes S. Chan (Corresponding Author)

Research output: Journal article publicationJournal articleAcademic researchpeer-review

23 Citations (Scopus)

Abstract

Abnormal saccadic eye movements, such as longer anti-saccade latency and lower pro-saccade accuracy, are common in children with attention-deficit/hyperactivity disorder (ADHD). The present study aimed to investigate the effectiveness of computerized eye-tracking training on improving saccadic eye movements in children with ADHD. Eighteen children with ADHD (mean age = 8.8 years, 10 males) were recruited and assigned to either the experimental (n = 9) or control group (n = 9). The experimental group underwent an accumulated 240 min of eye-tracking training within two weeks, whereas the control group engaged in web game playing for the same amount of time. Saccadic performances were assessed using the anti-and pro-saccade tasks before and after training. Compared to the baseline, only the children who underwent the eye-tracking training showed significant improvements in saccade latency and accuracy in the anti-and pro-saccade tasks, respectively. In contrast, the control group exhibited no significant changes. These preliminary findings support the use of eye-tracking training as a safe non-pharmacological intervention for improving the saccadic eye movements of children with ADHD.

Original languageEnglish
Article number1016
Pages (from-to)1-9
Number of pages9
JournalBrain Sciences
Volume10
Issue number12
DOIs
Publication statusPublished - 21 Dec 2020

Keywords

  • ADHD
  • Cognitive training
  • Eye-tracking
  • Fixation
  • Saccade

ASJC Scopus subject areas

  • General Neuroscience

Fingerprint

Dive into the research topics of 'Computerized eye-tracking training improves the saccadic eye movements of children with attention-deficit/hyperactivity disorder'. Together they form a unique fingerprint.

Cite this