ArticleScientific reports2018
Atypical postural control can be detected via computer vision analysis in toddlers with autism spectrum disorder.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 48 papers, 2 of them syntheses that pooled it.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.
- Digital tools for direct assessment of autism risk during early childhood: A systematic review.Autism : the international journal of research and practice · 2024Pooled it
- Computer vision in autism spectrum disorder research: a systematic review of published studies from 2009 to 2019.Translational psychiatry · 2020Pooled it
- Comprehensive Evaluation of TMJ Dysfunction, Postural Control, and Adaptive Skills in Individuals With Autism Spectrum Disorder.Journal of autism and developmental disorders · 2026Article
- Neurobehavioral Assessment of Sensorimotor Function in Autism Using Smartphone Technology.Autism research : official journal of the International Society for Autism Research · 2026Article
- A naturalistic, non-invasive method for capturing biometric data during autism evaluations.Frontiers in psychiatry · 2026Article
- Modelling learning dynamics in autism therapy through explainable multimodal representation learning.Frontiers in neuroscience · 2026Article
- Ensemble Modeling of Multiple Physical Indicators to Dynamically Phenotype Autism Spectrum Disorder.Algorithms · 2025Article
- Article
- Autism Digital Phenotyping in Preschool- and School-Age Children.Autism research : official journal of the International Society for Autism Research · 2025Article
- Article
- Risk assessment and automatic identification of autistic children based on appearance.Scientific reports · 2024Article
- Article
- Computer Vision Analysis of Caregiver-Child Interactions in Children with Neurodevelopmental Disorders: A Preliminary Report.Journal of autism and developmental disorders · 2024Article
- Development of webcam-collected and artificial-intelligence-derived social and cognitive performance measures for neurodevelopmental genetic syndromes.American journal of medical genetics. Part C, Seminars in medical genetics · 2023Article
- A Review of and Roadmap for Data Science and Machine Learning for the Neuropsychiatric Phenotype of Autism.Annual review of biomedical data science · 2023Review
- Disparate behavioral types in wild and reared juveniles of gilthead seabream.Scientific reports · 2023Article
- Relationship between quantitative digital behavioral features and clinical profiles in young autistic children.Autism research : official journal of the International Society for Autism Research · 2023Article
- Blink rate and facial orientation reveal distinctive patterns of attentional engagement in autistic toddlers: a digital phenotyping approach.Scientific reports · 2023Article
- A tablet-based game for the assessment of visual motor skills in autistic children.NPJ digital medicine · 2023Article
- From "one big clumsy mess" to "a fundamental part of my character." Autistic adults' experiences of motor coordination.PloS one · 2023Article
Corrections and comments
- Erratum issued
Authors and funding
11 authors at 3 institutions in 1 country.
Funding
Abstract
Evidence suggests that differences in motor function are an early feature of autism spectrum disorder (ASD). One aspect of motor ability that develops during childhood is postural control, reflected in the ability to maintain a steady head and body position without excessive sway. Observational studies have documented differences in postural control in older children with ASD. The present study used computer vision analysis to assess midline head postural control, as reflected in the rate of spontaneous head movements during states of active attention, in 104 toddlers between 16-31 months of age (Mean = 22 months), 22 of whom were diagnosed with ASD. Time-series data revealed robust group differences in the rate of head movements while the toddlers watched movies depicting social and nonsocial stimuli. Toddlers with ASD exhibited a significantly higher rate of head movement as compared to non-ASD toddlers, suggesting difficulties in maintaining midline position of the head while engaging attentional systems. The use of digital phenotyping approaches, such as computer vision analysis, to quantify variation in early motor behaviors will allow for more precise, objective, and quantitative characterization of early motor signatures and potentially provide new automated methods for early autism risk identification.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.