Toward the detection of reduced emotion expression intensity: an autism sibling study.

Autor: Turan B; Faculty of Medicine, Department of Child and Adolescent Psychiatry, Karadeniz Technical University, Trabzon, Turkey.; Graduate School of Applied Science Interdisciplinary Artificial Intelligence Technology, Ankara University, Ankara, Turkey., Algedik Demirayak P; Department of Child and Adolescent Psychiatry, Umraniye Training and Research Hospital, Istanbul, Turkey., Yildirim Demirdogen E; Faculty of Medicine, Department of Child and Adolescent Psychiatry, Ataturk University, Erzurum, Turkey., Gulsen M; Graduate School of Applied Science Interdisciplinary Artificial Intelligence Technology, Ankara University, Ankara, Turkey.; General Directorate of Health Services, Autism, Mental Special Needs and Rare Diseases Department, Turkish Ministry of Health, Ankara, Turkey., Cubukcu HC; General Directorate of Health Services, Autism, Mental Special Needs and Rare Diseases Department, Turkish Ministry of Health, Ankara, Turkey., Guler M; Department of Dıstance Educatıon and Applıcatıon Research Center, Ataturk University, Erzurum, Turkey., Alarslan H; Faculty of Medicine, Department of Child and Adolescent Psychiatry, Ataturk University, Erzurum, Turkey., Yilmaz AE; Graduate School of Applied Science Interdisciplinary Artificial Intelligence Technology, Ankara University, Ankara, Turkey., Dursun OB; General Directorate of Health Services, Autism, Mental Special Needs and Rare Diseases Department, Turkish Ministry of Health, Ankara, Turkey.
Jazyk: angličtina
Zdroj: Journal of clinical and experimental neuropsychology [J Clin Exp Neuropsychol] 2023 May; Vol. 45 (3), pp. 219-229. Date of Electronic Publication: 2023 Jun 15.
DOI: 10.1080/13803395.2023.2225234
Abstrakt: Introduction: Expressing emotions through spontaneous facial expression is an important nonverbal social communication skill. In our study, we aimed to demonstrate that both children with autism spectrum disorder (ASD) and the non-ASD siblings of children with ASD have deficits in this skill.
Method: In this study, we analyzed the six core facial emotion expressions of three distinct groups of children - those diagnosed with ASD (n = 60), non-ASD siblings (n = 60), and typically developed children (n = 60). To analyze facial expressions, we employed a computer vision program that uses machine learning algorithms to detect facial features and conducted an evidence-based task that involved assessing participants' ability to recognize facial emotion expressions.
Results: Deficits in spontaneous emotion expression were shown in the children with ASD and in non-ASD siblings when compared with typically developed children. Interestingly, it was determined that these deficits were not related to the severity of the autism symptoms in the ASD group.
Conclusions: The results of the study suggest that computer-based automated analysis of facial expressions with contextual social scenes task holds potential for measuring limitations in the ability to express emotions, and they supplement the traditional clinical assessment of social phenotypical behavior deficits. This applies both to children with ASD and especially, to the non-ASD siblings of children with ASD. This study adds a novel approach to previous literature examining the emotion expression skills.
Databáze: MEDLINE
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