Michelle Dawson posts

Post published on Twitter/X on 11 Jun 2022 06:27

Twitter/X DOI work crossref Extract quoted in the post Question asked by Dawson in the post External link integrated into the post

Structured cited links

1 cited resource

DOI work Fetched Post crossref

M. K. Deserno, J. Bathelt, A. P. Groenman, H. M. Geurts (2023). Probing the overarching continuum theory: data-driven phenotypic clustering of children with ASD or ADHD. European Child & Adolescent Psychiatry, 32(10), 1909-1923. Springer Science and Business Media LLC.

Publication date
10 Jun 2022
Identifier
10.1007/s00787-022-01986-9
Authors
M. K. Deserno, J. Bathelt, A. P. Groenman, H. M. Geurts
Source
European Child & Adolescent Psychiatry
Details
32(10), 1909-1923
Reference type
article
Publisher
Springer Science and Business Media LLC
Metadata source
crossref

Abstract

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 between them. Second, community detection identified four distinct groups, but none of them showed a symptom profile clearly related to either ADHD or ASD in neither the original sample nor the replication sample. Third, taxometric analyses showed evidence for a categorical distinction between ASD and typically developing children, a dimensional characterization of the difference between ADHD and typically developing children, and mixed results for the distinction between the diagnostic groups. We present a novel framework of cutting-edge statistical techniques which represent recent advances in both the models and the data used for research in psychiatric nosology. Our results suggest that ASD and ADHD cannot be unambiguously characterized as either two separate clinical entities or opposite ends of a spectrum, and highlight the need to study ADHD and ASD traits in tandem.

Study authors in this cited reference