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Development of an Objective Autism Risk Index Using Remote Eye Tracking.
Frazier, Thomas W; Klingemier, Eric W; Beukemann, Mary; Speer, Leslie; Markowitz, Leslie; Parikh, Sumit; Wexberg, Steven; Giuliano, Kimberly; Schulte, Elaine; Delahunty, Carol; Ahuja, Veena; Eng, Charis; Manos, Michael J; Hardan, Antonio Y; Youngstrom, Eric A; Strauss, Mark S.
Afiliação
  • Frazier TW; Center for Autism, Cleveland Clinic, Cleveland. Electronic address: fraziet2@ccf.org.
  • Klingemier EW; Center for Autism, Cleveland Clinic, Cleveland.
  • Beukemann M; Center for Autism, Cleveland Clinic, Cleveland.
  • Speer L; Center for Autism, Cleveland Clinic, Cleveland.
  • Markowitz L; Center for Autism, Cleveland Clinic, Cleveland.
  • Parikh S; Pediatric Neurology, Cleveland Clinic.
  • Wexberg S; Pediatric Institute, Cleveland Clinic.
  • Giuliano K; Pediatric Institute, Cleveland Clinic.
  • Schulte E; Pediatric Institute, Cleveland Clinic.
  • Delahunty C; Pediatric Institute, Cleveland Clinic.
  • Ahuja V; Pediatric and Neurologic Institutes, Cleveland Clinic.
  • Eng C; Genomic Medicine Institute, Cleveland Clinic.
  • Manos MJ; Center for Pediatric Behavioral Health, Cleveland Clinic.
  • Hardan AY; Stanford University, Stanford, CA.
  • Youngstrom EA; University of North Carolina at Chapel Hill.
  • Strauss MS; University of Pittsburgh.
J Am Acad Child Adolesc Psychiatry ; 55(4): 301-9, 2016 Apr.
Article em En | MEDLINE | ID: mdl-27015721
ABSTRACT

OBJECTIVE:

Abnormal eye gaze is a hallmark characteristic of autism spectrum disorder (ASD), and numerous studies have identified abnormal attention patterns in ASD. The primary aim of the present study was to create an objective, eye tracking-based autism risk index.

METHOD:

In initial and replication studies, children were recruited after referral for comprehensive multidisciplinary evaluation of ASD and subsequently grouped by clinical consensus diagnosis (ASD n = 25/15, non-ASD n = 20/19 for initial/replication samples). Remote eye tracking was blinded to diagnosis and included multiple stimuli. Dwell times were recorded to each a priori-defined region of interest (ROI) and averaged across ROIs to create an autism risk index. Receiver operating characteristic curve analyses examined classification accuracy. Correlations with clinical measures evaluated whether the autism risk index was associated with autism symptom severity independent of language ability.

RESULTS:

In both samples, the autism risk index had high diagnostic accuracy (area under the curve [AUC] = 0.91 and 0.85, 95% CIs = 0.81-0.98 and 0.71-0.96), was strongly associated with Autism Diagnostic Observation Schedule-Second Edition (ADOS-2) severity scores (r = 0.58 and 0.59, p < .001), and not significantly correlated with language ability (r ≤| -0.28|, p > .095).

CONCLUSION:

The autism risk index may be a useful quantitative and objective measure of risk for autism in at-risk settings. Future research in larger samples is needed to cross-validate these findings. If validated and scaled for clinical use, this measure could inform clinical judgment regarding ASD diagnosis and track symptom improvements.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Movimentos Oculares / Tecnologia de Sensoriamento Remoto / Transtorno do Espectro Autista Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Female / Humans / Male Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Movimentos Oculares / Tecnologia de Sensoriamento Remoto / Transtorno do Espectro Autista Tipo de estudo: Etiology_studies / Prognostic_studies / Risk_factors_studies Limite: Child / Child, preschool / Female / Humans / Male Idioma: En Ano de publicação: 2016 Tipo de documento: Article