Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old
Abstract 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...
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Nature Portfolio
2023-08-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-40368-2 |
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author | Hirokazu Doi Akira Furui Rena Ueda Koji Shimatani Midori Yamamoto Kenichi Sakurai Chisato Mori Toshio Tsuji |
author_facet | Hirokazu Doi Akira Furui Rena Ueda Koji Shimatani Midori Yamamoto Kenichi Sakurai Chisato Mori Toshio Tsuji |
author_sort | Hirokazu Doi |
collection | DOAJ |
description | Abstract 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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institution | Directory Open Access Journal |
issn | 2045-2322 |
language | English |
last_indexed | 2024-03-10T17:49:43Z |
publishDate | 2023-08-01 |
publisher | Nature Portfolio |
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series | Scientific Reports |
spelling | doaj.art-450792d24f3f486cb176ae0d8c613a972023-11-20T09:22:56ZengNature PortfolioScientific Reports2045-23222023-08-0113111010.1038/s41598-023-40368-2Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months oldHirokazu Doi0Akira Furui1Rena Ueda2Koji Shimatani3Midori Yamamoto4Kenichi Sakurai5Chisato Mori6Toshio Tsuji7Graduate School of Biomedical Sciences, Nagasaki UniversityGraduate School of Advanced Science and Engineering, Hiroshima UniversityGraduate School of Advanced Science and Engineering, Hiroshima UniversityFaculty of Health and Welfare, Prefectural University of HiroshimaDepartment of Sustainable Health Science, Center for Preventive Medical Sciences, Chiba UniversityDepartment of Nutrition and Metabolic Medicine, Center for Preventive Medical Sciences, Chiba UniversityDepartment of Sustainable Health Science, Center for Preventive Medical Sciences, Chiba UniversityGraduate School of Advanced Science and Engineering, Hiroshima UniversityAbstract 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.https://doi.org/10.1038/s41598-023-40368-2 |
spellingShingle | Hirokazu Doi Akira Furui Rena Ueda Koji Shimatani Midori Yamamoto Kenichi Sakurai Chisato Mori Toshio Tsuji Spatiotemporal patterns of spontaneous movement in neonates are significantly linked to risk of autism spectrum disorders at 18 months old Scientific Reports |
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 |
url | https://doi.org/10.1038/s41598-023-40368-2 |
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