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Computer vision analysis captures atypical attention in toddlers with autism.
Campbell, Kathleen; Carpenter, Kimberly Lh; Hashemi, Jordan; Espinosa, Steven; Marsan, Samuel; Borg, Jana Schaich; Chang, Zhuoqing; Qiu, Qiang; Vermeer, Saritha; Adler, Elizabeth; Tepper, Mariano; Egger, Helen L; Baker, Jeffery P; Sapiro, Guillermo; Dawson, Geraldine.
Afiliación
  • Campbell K; 1 Duke University, USA.
  • Carpenter KL; 1 Duke University, USA.
  • Hashemi J; 1 Duke University, USA.
  • Espinosa S; 1 Duke University, USA.
  • Marsan S; 1 Duke University, USA.
  • Borg JS; 1 Duke University, USA.
  • Chang Z; 1 Duke University, USA.
  • Qiu Q; 1 Duke University, USA.
  • Vermeer S; 1 Duke University, USA.
  • Adler E; 1 Duke University, USA.
  • Tepper M; 1 Duke University, USA.
  • Egger HL; 2 New York University.
  • Baker JP; 3 Duke University Health System, USA.
  • Sapiro G; 1 Duke University, USA.
  • Dawson G; 1 Duke University, USA.
Autism ; 23(3): 619-628, 2019 04.
Article en En | MEDLINE | ID: mdl-29595333
To demonstrate the capability of computer vision analysis to detect atypical orienting and attention behaviors in toddlers with autism spectrum disorder. One hundered and four toddlers of 16-31 months old (mean = 22) participated in this study. Twenty-two of the toddlers had autism spectrum disorder and 82 had typical development or developmental delay. Toddlers watched video stimuli on a tablet while the built-in camera recorded their head movement. Computer vision analysis measured participants' attention and orienting in response to name calls. Reliability of the computer vision analysis algorithm was tested against a human rater. Differences in behavior were analyzed between the autism spectrum disorder group and the comparison group. Reliability between computer vision analysis and human coding for orienting to name was excellent (intra-class coefficient 0.84, 95% confidence interval 0.67-0.91). Only 8% of toddlers with autism spectrum disorder oriented to name calling on >1 trial, compared to 63% of toddlers in the comparison group (p = 0.002). Mean latency to orient was significantly longer for toddlers with autism spectrum disorder (2.02 vs 1.06 s, p = 0.04). Sensitivity for autism spectrum disorder of atypical orienting was 96% and specificity was 38%. Older toddlers with autism spectrum disorder showed less attention to the videos overall (p = 0.03). Automated coding offers a reliable, quantitative method for detecting atypical social orienting and reduced sustained attention in toddlers with autism spectrum disorder.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estimulación Luminosa / Atención / Trastorno del Espectro Autista Tipo de estudio: Diagnostic_studies Límite: Child, preschool / Female / Humans / Infant / Male Idioma: En Revista: Autism Asunto de la revista: PSICOLOGIA / PSIQUIATRIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
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XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Estimulación Luminosa / Atención / Trastorno del Espectro Autista Tipo de estudio: Diagnostic_studies Límite: Child, preschool / Female / Humans / Infant / Male Idioma: En Revista: Autism Asunto de la revista: PSICOLOGIA / PSIQUIATRIA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido