Exploring early-stage orienting behavior using an eye tracker for attention deficit hyperactivity disorder classification

Exploring early-stage orienting behavior is essential for elucidating the behavioral mechanisms underlying attentional shifts in attention deficit hyperactivity disorder (ADHD). However, traditional tasks lacking eye-tracking data often obscure these mechanisms. This study investigates low-level attentional shifting in ADHD using a simplified gaze-cueing task and explores classification markers via eye movement. Eye-tracking data were analyzed from 27 typically developing children and 19 children diagnosed with ADHD. We constructed a logistic regression model for classification purposes. Eye movement data alone yielded an accuracy of 0.84, comparable to the accuracy achieved using combined eye-tracking and behavioral data (0.87), underscoring the sensitivity of gaze-based features. Children with ADHD exhibited significantly prolonged inter-saccadic fixations in non-target regions (p = .02, d = 0.80) and marginally reduced saccade frequency (p = .06, d = − 0.52) during target detection, indicating delayed attentional shifting and diminished goal-directed attention. Prolonged fixation during target detection behavior emerged as the strongest predictor, correlating with both inattention and hyperactivity (r = .46; r = .36; both p < .01). Additionally, children with ADHD demonstrated lower response to joint attention and a greater reliance on peripheral vision. These findings highlight distinct gaze patterns under low cognitive load, revealing subtle mechanisms of executive dysfunction and potential early classification markers.

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Publication Details

Journal
Scientific Reports
Published
2026-02-26
DOI
https://doi.org/10.1038/s41598-026-41419-0
Primary Topic
Attention Deficit Hyperactivity Disorder
Type
article
Field-Weighted Citation Impact
0.00

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article

Exploring early-stage orienting behavior using an eye tracker for attention deficit hyperactivity disorder classification

MiYoung Kwon, D. Jung, S. W. Ricky Lee, Theodore P. Zanto et al.
Scientific Reports
Attention Deficit Hyperactivity Disorder
article

Exploring early-stage orienting behavior using an eye tracker for attention deficit hyperactivity disorder classification

MiYoung Kwon, D. Jung, S. W. Ricky Lee, Theodore P. Zanto, Sunhae Sul, InJi Jeong, Hyoju Park, Jaehyun Jeong
article en

Abstract

Exploring early-stage orienting behavior is essential for elucidating the behavioral mechanisms underlying attentional shifts in attention deficit hyperactivity disorder (ADHD). However, traditional tasks lacking eye-tracking data often obscure these mechanisms. This study investigates low-level attentional shifting in ADHD using a simplified gaze-cueing task and explores classification markers via eye movement. Eye-tracking data were analyzed from 27 typically developing children and 19 children diagnosed with ADHD. We constructed a logistic regression model for classification purposes. Eye movement data alone yielded an accuracy of 0.84, comparable to the accuracy achieved using combined eye-tracking and behavioral data (0.87), underscoring the sensitivity of gaze-based features. Children with ADHD exhibited significantly prolonged inter-saccadic fixations in non-target regions (p = .02, d = 0.80) and marginally reduced saccade frequency (p = .06, d = − 0.52) during target detection, indicating delayed attentional shifting and diminished goal-directed attention. Prolonged fixation during target detection behavior emerged as the strongest predictor, correlating with both inattention and hyperactivity (r = .46; r = .36; both p < .01). Additionally, children with ADHD demonstrated lower response to joint attention and a greater reliance on peripheral vision. These findings highlight distinct gaze patterns under low cognitive load, revealing subtle mechanisms of executive dysfunction and potential early classification markers.

Scientific ReportsVol. 16(1)
Korea Advanced Institute of Science and Technology (KR), University of California, San Francisco (US), University of California System (US), Hanyang University (KR), Ulsan National Institute of Science and Technology (KR), Pusan National University (KR), Daegu University (KR), Seoul Women's University (KR)
National Research Foundation, Ulsan National Institute of Science and Technology, Korea Health Industry Development Institute, National Research Foundation of Korea, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 47%
Attention Deficit Hyperactivity Disorder
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