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Attention-deficit hyperactivity disorder symptoms and brain morphology: Examining confounding bias.
Dall'Aglio, Lorenza; Kim, Hannah H; Lamballais, Sander; Labrecque, Jeremy; Muetzel, Ryan L; Tiemeier, Henning.
Affiliation
  • Dall'Aglio L; Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam-Sophia Children's Hospital, Rotterdam, Netherlands.
  • Kim HH; The Generation R Study Group, Erasmus MC University Medical Center Rotterdam, Rotterdam, Netherlands.
  • Lamballais S; Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, United States.
  • Labrecque J; Department of Clinical Genetics, Erasmus MC, Rotterdam, Netherlands.
  • Muetzel RL; Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands.
  • Tiemeier H; Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam-Sophia Children's Hospital, Rotterdam, Netherlands.
Elife ; 112022 11 09.
Article in En | MEDLINE | ID: mdl-36350121
ABSTRACT

Background:

Associations between attention-deficit/hyperactivity disorder (ADHD) and brain morphology have been reported, although with several inconsistencies. These may partly stem from confounding bias, which could distort associations and limit generalizability. We examined how associations between brain morphology and ADHD symptoms change with adjustments for potential confounders typically overlooked in the literature (aim 1), and for the intelligence quotient (IQ) and head motion, which are generally corrected for but play ambiguous roles (aim 2).

Methods:

Participants were 10-year-old children from the Adolescent Brain Cognitive Development (N = 7722) and Generation R (N = 2531) Studies. Cortical area, volume, and thickness were measured with MRI and ADHD symptoms with the Child Behavior Checklist. Surface-based cross-sectional analyses were run.

Results:

ADHD symptoms related to widespread cortical regions when solely adjusting for demographic factors. Additional adjustments for socioeconomic and maternal behavioral confounders (aim 1) generally attenuated associations, as cluster sizes halved and effect sizes substantially reduced. Cluster sizes further changed when including IQ and head motion (aim 2), however, we argue that adjustments might have introduced bias.

Conclusions:

Careful confounder selection and control can help identify more robust and specific regions of associations for ADHD symptoms, across two cohorts. We provided guidance to minimizing confounding bias in psychiatric neuroimaging.

Funding:

Authors are supported by an NWO-VICI grant (NWO-ZonMW 016.VICI.170.200 to HT) for HT, LDA, SL, and the Sophia Foundation S18-20, and Erasmus University and Erasmus MC Fellowship for RLM.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Attention Deficit Disorder with Hyperactivity Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Humans Language: En Journal: Elife Year: 2022 Document type: Article Affiliation country: Países Bajos

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Attention Deficit Disorder with Hyperactivity Type of study: Diagnostic_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Limits: Adolescent / Child / Humans Language: En Journal: Elife Year: 2022 Document type: Article Affiliation country: Países Bajos
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