Probing the overarching continuum theory: data-driven phenotypic clustering of children with ASD or ADHD.
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 stud...
| Published in: | European Child & Adolescent Psychiatry Vol. 32; no. 10; pp. 1909 - 1924 |
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| Main Authors: | , , , |
| Format: | pictorial research tables/charts Journal Article |
| Published: |
Springer Nature
Oct2023
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| Online Access: | View this record in EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=172360622&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 172360622 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 10188827 EJ3 jtl: European Child & Adolescent Psychiatry issn: 10188827 maglogo: N pubinfo: dt: Oct2023 vid: 32 iid: 10 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 172360622 157351855 172360622 172360622 10.1007/s00787-022-01986-9 172360622 ppf: 1909 ppct: 15 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Probing the overarching continuum theory: data-driven phenotypic clustering of children with ASD or ADHD. aug: au: Deserno, M. K. Bathelt, J. Groenman, A. P. Geurts, H. M. affil: https://ror.org/04dkp9463 Dutch Autism and ADHD Research Centre (d'Arc), Department of Psychology, University of Amsterdam, Amsterdam, The Netherlands sug: subj: Autism Spectrum Disorder Therapy Attention Deficit Hyperactivity Disorder Therapy Phenotype Human Child Adolescence Male Female Descriptive Statistics Funding Source Child: 6-12 years Adolescent: 13-18 years Male Female ab: 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. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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