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Identifying phenotypic and physiological subgroups of preschoolers with autism spectrum disorder

BACKGROUND: To understand the emergence of symptoms in autism spectrum disorder (ASD), we need to identify the mechanisms that underpin the development of core social skills. Mounting evidence indicates that young children with later ASD attend less to other people, which could compromise learning o...

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Autores principales: Bazelmans, Tessel, Jones, Emily J. H., Ghods, Sheila, Corrigan, Sarah, Toth, Karen, Charman, Tony, Webb, Sara J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009381/
https://www.ncbi.nlm.nih.gov/pubmed/37010226
http://dx.doi.org/10.1017/S0033291721003172
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author Bazelmans, Tessel
Jones, Emily J. H.
Ghods, Sheila
Corrigan, Sarah
Toth, Karen
Charman, Tony
Webb, Sara J.
author_facet Bazelmans, Tessel
Jones, Emily J. H.
Ghods, Sheila
Corrigan, Sarah
Toth, Karen
Charman, Tony
Webb, Sara J.
author_sort Bazelmans, Tessel
collection PubMed
description BACKGROUND: To understand the emergence of symptoms in autism spectrum disorder (ASD), we need to identify the mechanisms that underpin the development of core social skills. Mounting evidence indicates that young children with later ASD attend less to other people, which could compromise learning opportunities with cascading effects. Passive looking behaviour does not tell us about engagement with visual information, but measures of physiological arousal can provide information on the depth of engagement. In the current study, we use heart rate (HR) and heart rate variability (HRV) to measure engagement with social dynamic stimuli in ASD. METHODS: Sixty-seven preschoolers with ASD and 65 typical developing preschoolers between 2 and 4 years of age participated in a study where HR was measured during viewing of social and non-social videos. Using latent profile analyses, more homogeneous subgroups of children were created based on phenotype and physiology. RESULTS: Preschool-aged children with ASD, regardless of their non-verbal, verbal and social competencies, do not differ in overall HR or HRV compared to TD children. However, the ASD group showed a larger increase in HR (more disengagement) than the TD group to later-presented social stimuli. Phenotypic and physiological profiles showed this was primarily the case for children with below average verbal and non-verbal skills, but not necessarily those with more ASD symptoms. CONCLUSION: Children with ASD, especially a subgroup showing moderate cognitive delays, show an increase in HR to social stimuli over time; this may reflect difficulties re-engaging with social information when attention is waning.
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spelling pubmed-100093812023-03-14 Identifying phenotypic and physiological subgroups of preschoolers with autism spectrum disorder Bazelmans, Tessel Jones, Emily J. H. Ghods, Sheila Corrigan, Sarah Toth, Karen Charman, Tony Webb, Sara J. Psychol Med Original Article BACKGROUND: To understand the emergence of symptoms in autism spectrum disorder (ASD), we need to identify the mechanisms that underpin the development of core social skills. Mounting evidence indicates that young children with later ASD attend less to other people, which could compromise learning opportunities with cascading effects. Passive looking behaviour does not tell us about engagement with visual information, but measures of physiological arousal can provide information on the depth of engagement. In the current study, we use heart rate (HR) and heart rate variability (HRV) to measure engagement with social dynamic stimuli in ASD. METHODS: Sixty-seven preschoolers with ASD and 65 typical developing preschoolers between 2 and 4 years of age participated in a study where HR was measured during viewing of social and non-social videos. Using latent profile analyses, more homogeneous subgroups of children were created based on phenotype and physiology. RESULTS: Preschool-aged children with ASD, regardless of their non-verbal, verbal and social competencies, do not differ in overall HR or HRV compared to TD children. However, the ASD group showed a larger increase in HR (more disengagement) than the TD group to later-presented social stimuli. Phenotypic and physiological profiles showed this was primarily the case for children with below average verbal and non-verbal skills, but not necessarily those with more ASD symptoms. CONCLUSION: Children with ASD, especially a subgroup showing moderate cognitive delays, show an increase in HR to social stimuli over time; this may reflect difficulties re-engaging with social information when attention is waning. Cambridge University Press 2023-03 2021-09-17 /pmc/articles/PMC10009381/ /pubmed/37010226 http://dx.doi.org/10.1017/S0033291721003172 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
spellingShingle Original Article
Bazelmans, Tessel
Jones, Emily J. H.
Ghods, Sheila
Corrigan, Sarah
Toth, Karen
Charman, Tony
Webb, Sara J.
Identifying phenotypic and physiological subgroups of preschoolers with autism spectrum disorder
title Identifying phenotypic and physiological subgroups of preschoolers with autism spectrum disorder
title_full Identifying phenotypic and physiological subgroups of preschoolers with autism spectrum disorder
title_fullStr Identifying phenotypic and physiological subgroups of preschoolers with autism spectrum disorder
title_full_unstemmed Identifying phenotypic and physiological subgroups of preschoolers with autism spectrum disorder
title_short Identifying phenotypic and physiological subgroups of preschoolers with autism spectrum disorder
title_sort identifying phenotypic and physiological subgroups of preschoolers with autism spectrum disorder
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10009381/
https://www.ncbi.nlm.nih.gov/pubmed/37010226
http://dx.doi.org/10.1017/S0033291721003172
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