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自闭症儿童在与照顾者互动期间的运动的自动视频追踪:一项探索性研究。

Automated Video Tracking of Autistic Children's Movement During Caregiver-Child Interaction: An Exploratory Study.

机构信息

Duke Center for Autism and Brain Development, Duke University, Durham, NC, USA.

Department of Psychiatry and Behavioral Sciences, Duke University School of Medicine, Durham, NC, USA.

出版信息

J Autism Dev Disord. 2024 Oct;54(10):3706-3718. doi: 10.1007/s10803-023-06107-2. Epub 2023 Aug 29.

DOI:10.1007/s10803-023-06107-2
PMID:37642871
Abstract

Objective, quantitative measures of caregiver-child interaction during play are needed to complement caregiver or examiner ratings for clinical assessment and tracking intervention responses. In this exploratory study, we examined the feasibility of using automated video tracking, Noldus EthoVision XT, to measure 159 2-to-7-year-old autistic children's patterns of movement during play-based, caregiver-child interactions and examined their associations with standard clinical measures and human observational coding of caregiver-child joint engagement. Results revealed that autistic children who exhibited higher durations and velocity of movement were, on average, younger, had lower cognitive abilities, greater autism-related features, spent less time attending to the caregiver, and showed lower levels of joint engagement. After adjusting for age and nonverbal cognitive abilities, we found that children who remained in close proximity to their caregiver were more likely to engage in joint engagement that required support from the caregiver. These findings suggest that video tracking offers promise as a scalable, quantitative, and relevant measure of autism-related behaviors.

摘要

需要客观、定量的 caregiver-儿童互动指标来补充 caregiver 或检查者的评估,以进行临床评估和跟踪干预反应。在这项探索性研究中,我们研究了使用自动化视频跟踪技术 Noldus EthoVision XT 来测量 159 名 2 至 7 岁自闭症儿童在基于游戏的 caregiver-儿童互动过程中的运动模式的可行性,并研究了这些模式与标准临床测量指标以及人类对 caregiver-儿童共同参与的观察性编码之间的关联。结果表明,运动时间和速度较长的自闭症儿童平均年龄较小,认知能力较低,自闭症相关特征较多,与 caregiver互动的时间较少,共同参与的程度较低。在调整年龄和非言语认知能力后,我们发现与 caregiver保持近距离的儿童更有可能参与需要 caregiver支持的共同参与活动。这些发现表明,视频跟踪作为一种可扩展的、定量的和相关的自闭症行为测量方法具有一定的前景。

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本文引用的文献

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Autism. 2022 Jul;26(5):1070-1081. doi: 10.1177/13623613211039945. Epub 2021 Aug 18.
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Using 2D video-based pose estimation for automated prediction of autism spectrum disorders in young children.使用基于 2D 视频的姿势估计来自动预测幼儿自闭症谱系障碍。
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解决自闭症患者从诊断到成年的医疗保健获取障碍。
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Digital Behavioral Phenotyping Detects Atypical Pattern of Facial Expression in Toddlers with Autism.数字行为表型分析可检测出自闭症幼儿面部表情的异常模式。
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A Phase II Randomized Clinical Trial of the Safety and Efficacy of Intravenous Umbilical Cord Blood Infusion for Treatment of Children with Autism Spectrum Disorder.一项评估静脉输注脐带血治疗自闭症谱系障碍儿童的安全性和有效性的 II 期随机临床试验。
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Multidimensional Developments and Free-Play Movement Tracking in 30- to 36-Month-Old Toddlers With Autism Spectrum Disorder Who Were Full Term.30-36 个月自闭症谱系障碍足月婴儿的多维发展和自由游戏运动追踪。
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Biol Psychol. 2019 Sep;146:107712. doi: 10.1016/j.biopsycho.2019.05.012. Epub 2019 Jun 1.