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

Authors
Lee, SeonmiLee, SangilJeong, InjiJeong, JaehyunPark, HyojuKwon, Mee-KyoungZanto, TheodoreSul, SunhaeJung, Dooyoung
Issue Date
Feb-2026
Publisher
NATURE PORTFOLIO
Keywords
Early-stage orienting behavior; ADHD; Eye movement; Attention shifts; Classification; Gaze-cueing task
Citation
SCIENTIFIC REPORTS, v.16, no.1, pp 1 - 14
Pages
14
Indexed
SCIE
SCOPUS
Journal Title
SCIENTIFIC REPORTS
Volume
16
Number
1
Start Page
1
End Page
14
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211915
DOI
10.1038/s41598-026-41419-0
ISSN
2045-2322
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.
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