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Gauging facial feature viewing preference as a stable individual trait in autism spectrum disorder.
Reimann, Gabrielle E; Walsh, Catherine; Csumitta, Kelsey D; McClure, Patrick; Pereira, Francisco; Martin, Alex; Ramot, Michal.
Afiliación
  • Reimann GE; Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
  • Walsh C; Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
  • Csumitta KD; Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
  • McClure P; Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda, Maryland, USA.
  • Pereira F; Section on Functional Imaging Methods, National Institute of Mental Health, Bethesda, Maryland, USA.
  • Martin A; Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
  • Ramot M; Laboratory of Brain and Cognition, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland, USA.
Autism Res ; 14(8): 1670-1683, 2021 08.
Article en En | MEDLINE | ID: mdl-34008916
ABSTRACT
Eye tracking provides insights into social processing deficits in autism spectrum disorder (ASD), especially in conjunction with dynamic, naturalistic free-viewing stimuli. However, the question remains whether gaze characteristics, such as preference for specific facial features, can be considered a stable individual trait, particularly in those with ASD. If so, how much data are needed for consistent estimations? To address these questions, we assessed the stability and robustness of gaze preference for facial features as incremental amounts of movie data were introduced for analysis. We trained an artificial neural network to create an object-based segmentation of naturalistic movie clips (14 s each, 7410 frames total). Thirty-three high-functioning individuals with ASD and 36 age- and IQ-equated typically developing individuals (age range 12-30 years) viewed 22 Hollywood movie clips, each depicting a social interaction. As we evaluated combinations of one, three, five, eight, and 11 movie clips, gaze dwell times on core facial features became increasingly stable at within-subject, within-group, and between-group levels. Using a number of movie clips deemed sufficient by our analysis, we found that individuals with ASD displayed significantly less face-centered gaze (centralized on the nose; p < 0.001) but did not significantly differ from typically developing participants in eye or mouth looking times. Our findings validate gaze preference for specific facial features as a stable individual trait and highlight the possibility of misinterpretation with insufficient data. Additionally, we propose the use of a machine learning approach to stimuli segmentation to quickly and flexibly prepare dynamic stimuli for analysis. LAY

SUMMARY:

Using a data-driven approach to segmenting movie stimuli, we examined varying amounts of data to assess the stability of social gaze in individuals with autism spectrum disorder (ASD). We found a reduction in social fixations in participants with ASD, driven by decreased attention to the center of the face. Our findings further support the validity of gaze preference for face features as a stable individual trait when sufficient data are used.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Trastorno del Espectro Autista Límite: Adolescent / Adult / Child / Humans Idioma: En Revista: Autism Res Asunto de la revista: PSIQUIATRIA / TRANSTORNOS MENTAIS Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Trastorno del Espectro Autista Límite: Adolescent / Adult / Child / Humans Idioma: En Revista: Autism Res Asunto de la revista: PSIQUIATRIA / TRANSTORNOS MENTAIS Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos