Cited by 154Attention Deficit Hyperactivity DisorderGaze Tracking and Assistive TechnologyVisual Attention and Saliency Detection

ADHD subjects fail to suppress eye blinks and microsaccades while anticipating visual stimuli but recover with medication

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Fried, Moshe, Tsitsiashvili, Eteri, Bonneh, Yoram S., Sterkin, Anna, Wygnanski-Jaffe, Tamara, Epstein, Tamir, Polat, Uri·2014·Vision Research

Abstract

Oculomotor behavior and parameters are known to be affected by the allocation of attention and could potentially be used to investigate attention disorders. We explored the oculomotor markers of Attention-deficit/hyperactivity disorder (ADHD) that are involuntary and quantitative and that could be used to reveal the core-affected mechanisms, as well as be used for differential diagnosis. We recorded eye movements in a group of 22 ADHD-diagnosed patients with and without medication (methylphenidate) and in 22 control observers while performing the test of variables of attention (t.o.v.a.). We found that the average microsaccade and blink rates were higher in the ADHD group, especially in the time interval around stimulus onset. These rates increased monotonically over session time for both groups, but with significantly faster increments in the unmedicated ADHD group. With medication, the level and time course of the microsaccade rate were fully normalized to the control level, regardless of the time interval within trials. In contrast, the pupil diameter decreased over time within sessions and significantly increased above the control level with medication. We interpreted the suppression of microsaccades and eye blinks around the stimulus onset as reflecting a temporal anticipation mechanism for the transient allocation of attention, and their overall rates as inversely reflecting the level of arousal. We suggest that ADHD subjects fail to maintain sufficient levels of arousal during a simple and prolonged task, which limits their ability to dynamically allocate attention while anticipating visual stimuli. This impairment normalizes with medication and its oculomotor quantification could potentially be used for differential diagnosis.

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Crossref · 10.1016/j.visres.2014.05.004

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Authors
Fried, M., Tsitsiashvili, E., Bonneh, Y. S., Sterkin, A., Wygnanski-Jaffe, T., Epstein, T., & Polat, U.
Affiliations
  • Tel Aviv University (IL)
  • University of Haifa (IL)
  • Sheba Medical Center (IL)
Corresponding author
Polat, Uri
Venue
Vision Research
Publisher
Elsevier BV
Published
2014-08
Volume
101
Pages
62-72
ISSN
0042-6989 (ISSN-L)
OpenAlex
W2016365934
Cited by
154
References
50
Citations by year
2026: 13 · 2025: 18 · 2024: 7 · 2023: 10 · 2022: 17 · 2021: 5 · 2020: 18 · 2019: 17 · 2018: 15 · 2017: 14 · 2016: 12 · 2015: 7 · 2014: 1
FWCI
8.65
Type
journal article
Language
en
Open access
Locations
  • Vision Research (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institute for Psychobiology
  • Charles E. Smith Family
  • Israel Science Foundation (188/10)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
  • Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
  • Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
Keywords
attention deficit hyperactivity disorder, microsaccades, blinking, oculomotor behavior, methylphenidate, attention allocation, temporal anticipation, pupil size, arousal, differential diagnosis, eye movements
MeSH terms
Adult, Central Nervous System Stimulants, Analysis of Variance, Attention Deficit Disorder with Hyperactivity, Blinking, Female, Humans, Male, Methylphenidate, Middle Aged, Photic Stimulation, Pupil, Saccades

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