Probing the overarching continuum theory: data-driven phenotypic clustering of children with ASD or ADHD.

ABSTRACT: The clinical validity of the distinction between ADHD and ASD is a longstanding discussion. Recent advances in the realm of data-driven analytic techniques now enable us to formally investigate theories aiming to explain the frequent co-occurrence of these neurodevelopmental conditions. In this study, we probe different theoretical positions by means of a pre-registered integrative approach of novel classification, subgrouping, and taxometric techniques in a representative sample (N = 434), and replicate the results in an independent sample (N = 219) of children (ADHD, ASD, and typically developing) aged 7-14 years. First, Random Forest Classification could predict diagnostic groups based on questionnaire data with limited accuracy-suggesting some remaining overlap in behavioral symptoms b

SUBMITTER: Deserno MK 

PROVIDER: S-EPMC10533623 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature