Evidence map›Paper›PMID 36350121›Full record

ArticleeLife2022

Attention-deficit hyperactivity disorder symptoms and brain morphology: Examining confounding bias.

Lorenza Dall'Aglio, Hannah H Kim, Sander Lamballais, Jeremy Labrecque, Ryan L Muetzel, Henning Tiemeier

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. ADHD symptom trajectories and brain morphometry: A longitudinal analysis.medRxiv : the preprint server for health sciences · 2026
    Article
  3. Article
  4. Review
  5. Review
  6. Article
  7. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Lorenza Dall'Aglio *Department of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam-Sophia Children's Hospital, Rotterdam, Netherlands.
Hannah H Kim *Department of Social and Behavioral Sciences, Harvard TH Chan School of Public Health, Boston, United States.
Sander Lamballais *Department of Clinical Genetics, Erasmus MC, Rotterdam, Netherlands.
Jeremy LabrecqueDepartment of Epidemiology, Erasmus MC, Rotterdam, Netherlands.
Ryan L MuetzelDepartment of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam-Sophia Children's Hospital, Rotterdam, Netherlands.
Henning TiemeierDepartment of Child and Adolescent Psychiatry, Erasmus MC University Medical Center Rotterdam-Sophia Children's Hospital, Rotterdam, Netherlands.ORCID 0000-0002-4395-1397

Funding

ABCD-USA CONSORTIUM: RESEARCH PROJECTU01DA041048 · NIDA · CHILDREN'S HOSPITAL OF LOS ANGELES · PI Megan Marie Herting, ELIZABETH R SOWELL · 2015 to 2026
$28.7M
NIDA NIH HHS U01 DA041048
6 · The paper itself

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 ( 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.

Indexed as

Attention Deficit Disorder with HyperactivityAdolescentBrainChildCross-Sectional StudiesHumansMagnetic Resonance ImagingNeuroimagingADHDbrain structureconfoundingepidemiologyglobal healthneuroscience

Identifiers

PMID36350121
PMCPMC9708072

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.