ArticleBrain sciences2020
Early Motor Development Predicts Clinical Outcomes of Siblings at High-Risk for Autism: Insight from an Innovative Motion-Tracking Technology.
Article in Brain sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06915805 (BABY@NET), which is not on this map. Cited by 23 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.
BABY@NET: A Technology-based National Surveillance Network for the Early Identification of Autism Spectrum Disorder and Other Neurodevelopmental Disorders in At-risk Populations
Who cites it
23 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The active self in autism: multisensory and sensorimotor foundations of bodily self-representation.BMC psychiatry · 2026Pooled it
- A systematic review of the applications of markerless motion capture (MMC) technology for clinical measurement in rehabilitation.Journal of neuroengineering and rehabilitation · 2023Pooled it
- Movement-Related Differences Between Infants with High and Low Likelihood of Autism: A Longitudinal Study Using Markerless Motion Tracking.Sensors (Basel, Switzerland) · 2026Article
- Review
- Video and Wearable Sensor Technologies for Early Detection of Cerebral Palsy in Infants: A Scoping Review.Journal of clinical medicine · 2026Review
- Manual and automated assessments of general movements in neonates are associated with early autism risk at 18 months.Scientific reports · 2026Article
- Article
- A Scoping Review of AI-Based Approaches for Detecting Autism Traits Using Voice and Behavioral Data.Bioengineering (Basel, Switzerland) · 2025Review
- Recent challenges in children's developmental milestones.Pediatric research · 2025Article
- A systematic review of portable technologies for the early assessment of motor development in infants.NPJ digital medicine · 2025Article
- Marker-Less Video Analysis of Infant Movements for Early Identification of Neurodevelopmental Disorders.Diagnostics (Basel, Switzerland) · 2025Article
- Digital motor markers for early autism detection: promise, pitfalls, and a path to clinics.Frontiers in psychiatry · 2025Article
- Deep-learning-based markerless tracking of distal anatomical landmarks in clinically recorded videos for assessing infant movement patterns associated with neurodevelopmental status.Journal of the Royal Society of New Zealand · 2025Article
- Development and evaluation of robotic detection technology for assessing autism.Frontiers in psychiatry · 2025Article
- Endophenotype trait domains for advancing gene discovery in autism spectrum disorder.Journal of neurodevelopmental disorders · 2023Review
- Identifying activity level related movement features of children with ASD based on ADOS videos.Scientific reports · 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
- Behavioural Differences in Sensorimotor Profiles: A Comparison of Preschool-Aged Children with Sensory Processing Disorder and Autism Spectrum Disorders.Children (Basel, Switzerland) · 2022Article
- Implicit learning in 3-year-olds with high and low likelihood of autism shows no evidence of precision weighting differences.Developmental science · 2022Article
- Early Motor Signs in Autism Spectrum Disorder.Children (Basel, Switzerland) · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Atypical motor patterns are potential early markers and predictors of later diagnosis of Autism Spectrum Disorder (ASD). This study aimed to investigate the early motor trajectories of infants at high-risk (HR) of ASD through MOVIDEA, a semi-automatic software developed to analyze 2D and 3D videos and provide objective kinematic features of their movements. MOVIDEA was developed within the Italian Network for early detection of Autism Spectrum Disorder (NIDA Network), which is currently coordinating the most extensive surveillance program for infants at risk for neurodevelopmental disorders (NDDs). MOVIDEA was applied to video recordings of 53 low-risk (LR; siblings of typically developing children) and 50 HR infants' spontaneous movements collected at 10 days and 6, 12, 18, and 24 weeks. Participants were grouped based on their clinical outcome (18 HR received an NDD diagnosis, 32 HR and 53 LR were typically developing). Results revealed that early developmental trajectories of specific motor parameters were different in HR infants later diagnosed with NDDs from those of infants developing typically. Since MOVIDEA was useful in the association of quantitative measures with specific early motor patterns, it should be applied to the early detection of ASD/NDD markers.
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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.