Development and Validation of a Short Version Eye-Tracking Paradigm for the Screening and Diagnosis of Autism Spectrum Disorder in Qatar / Fouad Al SHABAN in Autism Research, 19-6 (June 2026)  

Public ISBD [article]  inAutism Research > 19-6 (June 2026) . - p.e70242 Titre : Development and Validation of a Short Version Eye-Tracking Paradigm for the Screening and Diagnosis of Autism Spectrum Disorder in Qatar Type de document : texte imprimé Auteurs : Fouad Al SHABAN, Auteur ; Iman GHAZAL, Auteur ; Fatema AL-FARAJ, Auteur ; Sarah AQEL, Auteur ; I. Richard THOMPSON, Auteur Article en page(s) : p.e70242 Langues : Anglais (eng) Mots-clés : autism spectrum disorder  diagnosis  eye-tracking  gaze behavior  rapid screening Index. décimale : PER Périodiques Résumé : ABSTRACT Objective behavioral assessments for autism spectrum disorder (ASD) are often time-intensive and require substantial clinical expertise. Eye-tracking?based paradigms offer quantifiable measures of social attention that can complement traditional tools. The current study builds on our previously validated Arabic-language Autism Index (AI) by developing and validating a 4?min short version designed to improve feasibility in clinical and community settings while maintaining diagnostic accuracy. A total of 236 participants (127 with ASD, 109 non-autistic controls including those with developmental delays (DD)) aged 1?16?years were assessed using an eye-tracking paradigm consisting of 19 short dynamic videos depicting social and non-social scenes. The AI was computed as the ratio of dwell time toward social versus non-social stimuli. Diagnostic classification was established using ADOS-2 and SCQ. Reliability and validity were assessed using Cronbach's α, Pearson's r, and ROC analyses, including age-stratified performance and comparison with the original 10?min version. Feasibility was assessed by the proportion of valid stimuli. The short-version AI demonstrated excellent internal consistency (α?=?0.91) and test?retest reliability (r?=?0.83). Diagnostic accuracy was high (AUC?=?0.878, SE?=?0.023), with age-stratified AUCs ranging from 0.846 to 0.939. AI scores correlated strongly with ADOS-2 severity (r?=?0.54, p? En ligne : https://doi.org/10.1002/aur.70242 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=589 [article] Development and Validation of a Short Version Eye-Tracking Paradigm for the Screening and Diagnosis of Autism Spectrum Disorder in Qatar [texte imprimé] / Fouad Al SHABAN, Auteur ; Iman GHAZAL, Auteur ; Fatema AL-FARAJ, Auteur ; Sarah AQEL, Auteur ; I. Richard THOMPSON, Auteur . - p.e70242. Langues : Anglais (eng) in Autism Research > 19-6 (June 2026) . - p.e70242 Mots-clés : autism spectrum disorder  diagnosis  eye-tracking  gaze behavior  rapid screening Index. décimale : PER Périodiques Résumé : ABSTRACT Objective behavioral assessments for autism spectrum disorder (ASD) are often time-intensive and require substantial clinical expertise. Eye-tracking?based paradigms offer quantifiable measures of social attention that can complement traditional tools. The current study builds on our previously validated Arabic-language Autism Index (AI) by developing and validating a 4?min short version designed to improve feasibility in clinical and community settings while maintaining diagnostic accuracy. A total of 236 participants (127 with ASD, 109 non-autistic controls including those with developmental delays (DD)) aged 1?16?years were assessed using an eye-tracking paradigm consisting of 19 short dynamic videos depicting social and non-social scenes. The AI was computed as the ratio of dwell time toward social versus non-social stimuli. Diagnostic classification was established using ADOS-2 and SCQ. Reliability and validity were assessed using Cronbach's α, Pearson's r, and ROC analyses, including age-stratified performance and comparison with the original 10?min version. Feasibility was assessed by the proportion of valid stimuli. The short-version AI demonstrated excellent internal consistency (α?=?0.91) and test?retest reliability (r?=?0.83). Diagnostic accuracy was high (AUC?=?0.878, SE?=?0.023), with age-stratified AUCs ranging from 0.846 to 0.939. AI scores correlated strongly with ADOS-2 severity (r?=?0.54, p? En ligne : https://doi.org/10.1002/aur.70242 Permalink : https://www.cra-rhone-alpes.org/cid/opac_css/index.php?lvl=notice_display&id=589

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