ArticleScientific reports2019
Whole-Body Movement during Videogame Play Distinguishes Youth with Autism from Youth with Typical Development.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 39 citations in OpenAlex.
- Static and dynamic balance in children and adolescents with autism spectrum disorder compared with typically developing peers: a systematic review and meta-analysis.European journal of pediatrics · 2026Pooled it
- Early diagnostic value of home video-based machine learning in autism spectrum disorder: a meta-analysis.European journal of pediatrics · 2024Pooled it
- Motor organisation of social play in children with autism.Journal of the Royal Society, Interface · 2025Article
- [Artificial intelligence in preventive medicine for children and adolescents-applications and acceptance].Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz · 2025Review
- Sex Differences in the Striatal Contributions to Longitudinal Fine Motor Development in Autistic Children.Biological psychiatry · 2025Article
- Early detection of autism spectrum disorder: gait deviations and machine learning.Scientific reports · 2025Article
- Commercial Wearables for the Management of People with Autism Spectrum Disorder: A Review.Biosensors · 2024Review
- Microstructural neural correlates of maximal grip strength in autistic children: the role of the cortico-cerebellar network and attention-deficit/hyperactivity disorder features.Frontiers in integrative neuroscience · 2024Article
- Level of autistic traits in neurotypical adults predicts kinematic idiosyncrasies in their biological movements.Frontiers in integrative neuroscience · 2024Article
- Autistic Children Use Less Efficient Goal-Directed Whole Body Movements Compared to Neurotypical Development.Journal of autism and developmental disorders · 2023Article
- The whole-body motor skills of children with autism spectrum disorder taking goal-directed actions in virtual reality.Frontiers in psychology · 2023Article
- Prediction of autistic tendencies at 18 months of age via markerless video analysis of spontaneous body movements in 4-month-old infants.Scientific reports · 2022Article
- Human activity recognition of children with wearable devices using LightGBM machine learning.Scientific reports · 2022Article
- Neurobiological and behavioural outcomes of biofeedback-based training in autism: a randomized controlled trial.Brain communications · 2021Article
- Evolution of the Autism Literature and the Influence of Parents: A Scientific Mapping in Web of Science.Brain sciences · 2021Review
- Automatic Classification of Adult Males With and Without Autism Spectrum Disorder by Non-contact Measurement of Autonomic Nervous System Activation.Frontiers in psychiatry · 2021Article
- Trends in Autism Research in the Field of Education in Web of Science: A Bibliometric Study.Brain sciences · 2020Review
- Documentary Analysis of the Scientific Literature on Autism and Technology in Web of Science.Brain sciences · 2020Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
Abstract
Individuals with autism spectrum disorder struggle with motor difficulties throughout the life span, and these motor difficulties may affect independent living skills and quality of life. Yet, we know little about how whole-body movement may distinguish individuals with autism spectrum disorder from individuals with typical development. In this study, kinematic and postural sway data were collected during multiple sessions of videogame play in 39 youth with autism spectrum disorder and 23 age-matched youth with typical development (ages 7-17 years). The youth on the autism spectrum exhibited more variability and more entropy in their movements. Machine learning analysis of the youths' motor patterns distinguished between the autism spectrum and typically developing groups with high aggregate accuracy (up to 89%), with no single region of the body seeming to drive group differences. Moreover, the machine learning results corresponded to individual differences in performance on standardized motor tasks and measures of autism symptom severity. The machine learning algorithm was also sensitive to age, suggesting that motor challenges in autism may be best characterized as a developmental motor delay rather than an autism-distinct motor profile. Overall, these results reveal that whole-body movement is a distinguishing feature in autism spectrum disorder and that movement atypicalities in autism are present across the body.
Indexed as
Identifiers
What OpenQuestion holds
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.