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

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dc.contributor.authorLee, Seonmi-
dc.contributor.authorLee, Sangil-
dc.contributor.authorJeong, Inji-
dc.contributor.authorJeong, Jaehyun-
dc.contributor.authorPark, Hyoju-
dc.contributor.authorKwon, Mee-Kyoung-
dc.contributor.authorZanto, Theodore-
dc.contributor.authorSul, Sunhae-
dc.contributor.authorJung, Dooyoung-
dc.date.accessioned2026-04-02T06:30:29Z-
dc.date.available2026-04-02T06:30:29Z-
dc.date.issued2026-02-
dc.identifier.issn2045-2322-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/211915-
dc.description.abstractExploring 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.-
dc.format.extent14-
dc.language영어-
dc.language.isoENG-
dc.publisherNATURE PORTFOLIO-
dc.titleExploring early-stage orienting behavior using an eye tracker for attention deficit hyperactivity disorder classification-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1038/s41598-026-41419-0-
dc.identifier.scopusid2-s2.0-105033349453-
dc.identifier.wosid001714884600003-
dc.identifier.bibliographicCitationSCIENTIFIC REPORTS, v.16, no.1, pp 1 - 14-
dc.citation.titleSCIENTIFIC REPORTS-
dc.citation.volume16-
dc.citation.number1-
dc.citation.startPage1-
dc.citation.endPage14-
dc.type.docTypeArticle-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalWebOfScienceCategoryMultidisciplinary Sciences-
dc.subject.keywordPlusDEFICIT/HYPERACTIVITY DISORDER-
dc.subject.keywordPlusEXECUTIVE FUNCTION-
dc.subject.keywordPlusRESPONSE-INHIBITION-
dc.subject.keywordPlusCHILDREN-
dc.subject.keywordPlusADHD-
dc.subject.keywordPlusPERFORMANCE-
dc.subject.keywordPlusSEARCH-
dc.subject.keywordPlusSYSTEM-
dc.subject.keywordAuthorEarly-stage orienting behavior-
dc.subject.keywordAuthorADHD-
dc.subject.keywordAuthorEye movement-
dc.subject.keywordAuthorAttention shifts-
dc.subject.keywordAuthorClassification-
dc.subject.keywordAuthorGaze-cueing task-
dc.identifier.urlhttps://www.nature.com/articles/s41598-026-41419-0-
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