Topography and function of challenging behaviors in individuals with autism spectrum disorder
• The current study identified the most commonly treated challenging behaviors for autistic individuals receiving behavioral intervention. • Stereotypy, noncompliance, and aggression were the most commonly treated topographies of challenging […]
Identification and analysis of behavioral phenotypes in autism spectrum disorder via unsupervised machine learning
• The current study used unsupervised machine learning to identify behavioral subtypes of autism. • Sixteen subgroups were identified, and the hierarchy of those subgroups suggest there may be two […]
Effectiveness of telehealth direct therapy for individuals with autism spectrum disorder
• The current study explored the effectiveness of telehealth direct therapy at improving skill acquisition in autistic individuals. • Telehealth direct therapy was effective for patients across varying symptom severity […]
Unsupervised machine learning for identifying challenging behavior profiles to explore cluster-based treatment efficacy in children with autism spectrum disorder: Retrospective data analysis study
• The current study explored subtypes of autism based on engagement in challenging behaviors and investigated differences in treatment response across the subgroups. • Seven clusters were found and each […]
Assessing the social validity of telehealth-based applied behavior analysis services for autism spectrum disorder
• The current study assessed quality of life (QoL) and social validity reported by caregivers of autistic children receiving applied behavior analysis (ABA) telehealth therapy during the COVID-19 pandemic. • […]