ArticleTranslational psychiatry2020
Behavior and interaction imaging at 9 months of age predict autism/intellectual disability in high-risk infants with West syndrome.
Article in Translational psychiatry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- A Scoping Review of AI-Based Approaches for Detecting Autism Traits Using Voice and Behavioral Data.Bioengineering (Basel, Switzerland) · 2025Review
- Emerging Verbal Functions in Early Infancy: Lessons from Observational and Computational Approaches on Typical Development and Neurodevelopmental Disorders.Advances in neurodevelopmental disorders · 2022Article
- A case study on the effect of light and colors in the built environment on autistic children's behavior.Frontiers in psychiatry · 2022Article
- Application and research progress of machine learning in the diagnosis and treatment of neurodevelopmental disorders in children.Frontiers in psychiatry · 2022Review
- Quantifying the Child-Therapist Interaction in ASD Intervention: An Observational Coding System.Brain sciences · 2021Article
- The future of General Movement Assessment: The role of computer vision and machine learning - A scoping review.Research in developmental disabilities · 2021Article
- Risk of autism spectrum disorder in children with infantile epileptic spasms syndrome: a retrospective study in a single center in Brazil.Jornal de pediatriaArticle
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Authors and funding
14 authors at 2 institutions in 1 country.
Funding
Abstract
Automated behavior analysis are promising tools to overcome current assessment limitations in psychiatry. At 9 months of age, we recorded 32 infants with West syndrome (WS) and 19 typically developing (TD) controls during a standardized mother-infant interaction. We computed infant hand movements (HM), speech turn taking of both partners (vocalization, pause, silences, overlap) and motherese. Then, we assessed whether multimodal social signals and interactional synchrony at 9 months could predict outcomes (autism spectrum disorder (ASD) and intellectual disability (ID)) of infants with WS at 4 years. At follow-up, 10 infants developed ASD/ID (WS+). The best machine learning reached 76.47% accuracy classifying WS vs. TD and 81.25% accuracy classifying WS+ vs. WS-. The 10 best features to distinguish WS+ and WS- included a combination of infant vocalizations and HM features combined with synchrony vocalization features. These data indicate that behavioral and interaction imaging was able to predict ASD/ID in high-risk children with WS.
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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.