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Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old

Infants make spontaneous movements from the prenatal period. Several studies indicate that an atypical pattern of body motion during infancy could be utilized as an early biomarker of autism spectrum disorders (ASD). However, to date, little is known about whether the body motion pattern in neonates...

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Autores principales: Doi, Hirokazu, Furui, Akira, Ueda, Rena, Shimatani, Koji, Yamamoto, Midori, Sakurai, Kenichi, Mori, Chisato, Tsuji, Toshio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449803/
https://www.ncbi.nlm.nih.gov/pubmed/37620366
http://dx.doi.org/10.1038/s41598-023-40368-2
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author Doi, Hirokazu
Furui, Akira
Ueda, Rena
Shimatani, Koji
Yamamoto, Midori
Sakurai, Kenichi
Mori, Chisato
Tsuji, Toshio
author_facet Doi, Hirokazu
Furui, Akira
Ueda, Rena
Shimatani, Koji
Yamamoto, Midori
Sakurai, Kenichi
Mori, Chisato
Tsuji, Toshio
author_sort Doi, Hirokazu
collection PubMed
description Infants make spontaneous movements from the prenatal period. Several studies indicate that an atypical pattern of body motion during infancy could be utilized as an early biomarker of autism spectrum disorders (ASD). However, to date, little is known about whether the body motion pattern in neonates is associated with ASD risk. The present study sought to clarify this point by examining, in a longitudinal design, the link between features of spontaneous movement at about two days after birth and ASD risk evaluated using the Modified Checklist for Autism in Toddlers by their caregivers at 18 months old. The body movement features were quantified by a recently developed markerless system of infant body motion analysis. Logistic regression analysis revealed that ASD risk at 18 months old is associated with the pattern of spontaneous movement at the neonatal stage. Further, logistic regression based on body movement features during sleep shows better performance in classifying high- and low-risk infants than during the awake state. These findings raise the possibility that early signs of ASD risk may emerge at a developmental stage far earlier than previously thought.
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spelling pubmed-104498032023-08-26 Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old Doi, Hirokazu Furui, Akira Ueda, Rena Shimatani, Koji Yamamoto, Midori Sakurai, Kenichi Mori, Chisato Tsuji, Toshio Sci Rep Article Infants make spontaneous movements from the prenatal period. Several studies indicate that an atypical pattern of body motion during infancy could be utilized as an early biomarker of autism spectrum disorders (ASD). However, to date, little is known about whether the body motion pattern in neonates is associated with ASD risk. The present study sought to clarify this point by examining, in a longitudinal design, the link between features of spontaneous movement at about two days after birth and ASD risk evaluated using the Modified Checklist for Autism in Toddlers by their caregivers at 18 months old. The body movement features were quantified by a recently developed markerless system of infant body motion analysis. Logistic regression analysis revealed that ASD risk at 18 months old is associated with the pattern of spontaneous movement at the neonatal stage. Further, logistic regression based on body movement features during sleep shows better performance in classifying high- and low-risk infants than during the awake state. These findings raise the possibility that early signs of ASD risk may emerge at a developmental stage far earlier than previously thought. Nature Publishing Group UK 2023-08-24 /pmc/articles/PMC10449803/ /pubmed/37620366 http://dx.doi.org/10.1038/s41598-023-40368-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Doi, Hirokazu
Furui, Akira
Ueda, Rena
Shimatani, Koji
Yamamoto, Midori
Sakurai, Kenichi
Mori, Chisato
Tsuji, Toshio
Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old
title Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old
title_full Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old
title_fullStr Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old
title_full_unstemmed Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old
title_short Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old
title_sort spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10449803/
https://www.ncbi.nlm.nih.gov/pubmed/37620366
http://dx.doi.org/10.1038/s41598-023-40368-2
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