Graduate School of Biomedical Sciences, Nagasaki University, 1-12-4 Sakamoto, Nagasaki, Nagasaki, 852-8523, Japan.
School of Science and Engineering, Kokushikan University, 4-28-1 Setagaya, Setagaya-ku, Tokyo, 154-8515, Japan.
Sci Rep. 2023 Aug 24;13(1):13869. doi: 10.1038/s41598-023-40368-2.
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.
婴儿在胎儿期就会自发运动。有几项研究表明,婴儿期身体运动模式异常可作为自闭症谱系障碍(ASD)的早期生物标志物。然而,迄今为止,对于新生儿的身体运动模式是否与 ASD 风险有关,人们知之甚少。本研究通过纵向设计,检查了在出生后大约两天的自发运动特征与自闭症风险之间的联系,自闭症风险是通过他们的照顾者在 18 个月时使用幼儿自闭症检查表评估的。身体运动特征是通过最近开发的无标记婴儿身体运动分析系统进行量化的。逻辑回归分析表明,18 个月时的 ASD 风险与新生儿阶段的自发运动模式有关。此外,基于睡眠期间身体运动特征的逻辑回归在分类高风险和低风险婴儿方面的表现优于清醒状态。这些发现表明,ASD 风险的早期迹象可能出现在比之前认为的更早的发育阶段。