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

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 betw...

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Autores principales: Dall'Aglio, Lorenza, Kim, Hannah H, Lamballais, Sander, Labrecque, Jeremy, Muetzel, Ryan L, Tiemeier, Henning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708072/
https://www.ncbi.nlm.nih.gov/pubmed/36350121
http://dx.doi.org/10.7554/eLife.78002
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author Dall'Aglio, Lorenza
Kim, Hannah H
Lamballais, Sander
Labrecque, Jeremy
Muetzel, Ryan L
Tiemeier, Henning
author_facet Dall'Aglio, Lorenza
Kim, Hannah H
Lamballais, Sander
Labrecque, Jeremy
Muetzel, Ryan L
Tiemeier, Henning
author_sort Dall'Aglio, Lorenza
collection PubMed
description 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.
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spelling pubmed-97080722022-11-30 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 eLife Epidemiology and Global Health 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. eLife Sciences Publications, Ltd 2022-11-09 /pmc/articles/PMC9708072/ /pubmed/36350121 http://dx.doi.org/10.7554/eLife.78002 Text en © 2022, Dall'Aglio, Kim, Lamballais et al https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Epidemiology and Global Health
Dall'Aglio, Lorenza
Kim, Hannah H
Lamballais, Sander
Labrecque, Jeremy
Muetzel, Ryan L
Tiemeier, Henning
Attention-deficit hyperactivity disorder symptoms and brain morphology: Examining confounding bias
title Attention-deficit hyperactivity disorder symptoms and brain morphology: Examining confounding bias
title_full Attention-deficit hyperactivity disorder symptoms and brain morphology: Examining confounding bias
title_fullStr Attention-deficit hyperactivity disorder symptoms and brain morphology: Examining confounding bias
title_full_unstemmed Attention-deficit hyperactivity disorder symptoms and brain morphology: Examining confounding bias
title_short Attention-deficit hyperactivity disorder symptoms and brain morphology: Examining confounding bias
title_sort attention-deficit hyperactivity disorder symptoms and brain morphology: examining confounding bias
topic Epidemiology and Global Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708072/
https://www.ncbi.nlm.nih.gov/pubmed/36350121
http://dx.doi.org/10.7554/eLife.78002
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