Importance: Stereotypical motor movements (SMMs) are a form of restricted and repetitive behavior, which is a core symptom of autism spectrum disorder (ASD). Current quantification of SMM severity is extremely limited, with studies relying on coarse and subjective caregiver reports or laborious manual annotation of short video recordings.
Objective: To assess the utility of a new open-source AI algorithm that can analyze extensive video recordings of children and automatically identify segments with heterogeneous SMMs, thereby enabling their direct and objective quantification.
Previous research has demonstrated that sleep disturbances are positively correlated with sensory sensitivities in children with ASD. Most of these studies, however, were based on cross-sectional analyses, where the relationship across symptom domains was examined at a single time-point. Here, we examined the development of 103 pre-school children with ASD over a 1-3-year period.
View Article and Find Full Text PDFIn many countries, parents can place autism spectrum disorder (ASD) children in either mainstream or special education settings, which differ in their ability to provide structured early intervention programs. There are no clear guidelines for how to make initial placement decisions and ongoing debate about the benefits and drawbacks of each educational setting. Previous studies have mostly examined placement of school-age children and reported that those with poorer cognitive abilities and more severe ASD symptoms tend to be placed in special education.
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