With the budding interests of structural and functional network characteristics as potential parameters for abnormal brains, an essential and thus simpler representation and evaluations have become necessary. Eigenvector centrality measure of functional magnetic resonance imaging ("fMRI") offer region wise network representations through…

Large amounts of autism spectrum disorder (ASD) data is created through hospitals, therapy centers, and mobile applications; however, much of this rich data does not have pre-existing classes or labels. Large amounts of data--both genetic and behavioral--that are collected as part of scientific studies or a part of treatment can provide a deeper,…

This pilot study examined (a) the perceived barriers to creating high-quality social and emotional learning (SEL) IEP goals for autistic students without intellectual disabilities, and (b) the impact of using a data-driven SEL IEP goal builder--a key component of the Ivymount Social Cognition Instructional Package (IvySCIP)--on the quality of SEL…

Although peer-mediated interventions have emerged as an evidence-based practice for students with autism spectrum disorder (ASD), little attention has focused on approaches for tailoring these interventions to meet individual students' unique needs. In this systematic literature review of 29 studies, we identified assessment procedures used to…

Each year, the Interagency Autism Coordinating Committee (IACC) releases a list of scientific advances that represent significant progress in the field of autism research. The "Summary of Advances" provides short, plain language summaries of the top research breakthroughs selected by the IACC from a pool of research articles nominated by…