Subcortical brain volume differences in participants with attention deficit hyperactivity disorder in children and adults: a cross-sectional mega-analysis

  • Martine Hoogman*
  • , Janita Bralten
  • , Derrek P. Hibar
  • , Maarten Mennes
  • , Marcel P. Zwiers
  • , Lizanne S.J. Schweren
  • , Kimm J.E. van Hulzen
  • , Sarah E. Medland
  • , Elena Shumskaya
  • , Neda Jahanshad
  • , Patrick de Zeeuw
  • , Eszter Szekely
  • , Gustavo Sudre
  • , Thomas Wolfers
  • , Alberdingk M.H. Onnink
  • , Janneke T. Dammers
  • , Jeanette C. Mostert
  • , Yolanda Vives-Gilabert
  • , Gregor Kohls
  • , Eileen Oberwelland
  • Jochen Seitz, Martin Schulte-Rüther, Sara Ambrosino, Alysa E. Doyle, Marie F. Høvik, Margaretha Dramsdahl, Leanne Tamm, Theo G.M. van Erp, Anders Dale, Andrew Schork, Annette Conzelmann, Kathrin Zierhut, Ramona Baur, Hazel McCarthy, Yuliya N. Yoncheva, Ana Cubillo, Kaylita Chantiluke, Mitul A. Mehta, Yannis Paloyelis, Sarah Hohmann, Sarah Baumeister, Ivanei Bramati, Paulo Mattos, Fernanda Tovar-Moll, Pamela Douglas, Tobias Banaschewski, Daniel Brandeis, Jonna Kuntsi, Philip Asherson, Katya Rubia, Clare Kelly, Adriana Di Martino, Michael P. Milham, Francisco X. Castellanos, Thomas Frodl, Mariam Zentis, Klaus Peter Lesch, Andreas Reif, Paul Pauli, Terry L. Jernigan, Jan Haavik, Kerstin J. Plessen, Astri J. Lundervold, Kenneth Hugdahl, Larry J. Seidman, Joseph Biederman, Nanda Rommelse, Dirk J. Heslenfeld, Catharina A. Hartman, Pieter J. Hoekstra, Jaap Oosterlaan, Georg von Polier, Kerstin Konrad, Oscar Vilarroya, Josep Antoni Ramos-Quiroga, Joan Carles Soliva, Sarah Durston, Jan K. Buitelaar, Stephen V. Faraone, Philip Shaw, Paul M. Thompson, Barbara Franke
*Corresponding author for this work

Research output: Contribution to JournalArticleAcademicpeer-review

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Abstract

Background Neuroimaging studies have shown structural alterations in several brain regions in children and adults with attention deficit hyperactivity disorder (ADHD). Through the formation of the international ENIGMA ADHD Working Group, we aimed to address weaknesses of previous imaging studies and meta-analyses, namely inadequate sample size and methodological heterogeneity. We aimed to investigate whether there are structural differences in children and adults with ADHD compared with those without this diagnosis. Methods In this cross-sectional mega-analysis, we used the data from the international ENIGMA Working Group collaboration, which in the present analysis was frozen at Feb 8, 2015. Individual sites analysed structural T1-weighted MRI brain scans with harmonised protocols of individuals with ADHD compared with those who do not have this diagnosis. Our primary outcome was to assess case-control differences in subcortical structures and intracranial volume through pooling of all individual data from all cohorts in this collaboration. For this analysis, p values were significant at the false discovery rate corrected threshold of p=0·0156. Findings Our sample comprised 1713 participants with ADHD and 1529 controls from 23 sites with a median age of 14 years (range 4–63 years). The volumes of the accumbens (Cohen's d=−0·15), amygdala (d=−0·19), caudate (d=−0·11), hippocampus (d=−0·11), putamen (d=−0·14), and intracranial volume (d=−0·10) were smaller in individuals with ADHD compared with controls in the mega-analysis. There was no difference in volume size in the pallidum (p=0·95) and thalamus (p=0·39) between people with ADHD and controls. Exploratory lifespan modelling suggested a delay of maturation and a delay of degeneration, as effect sizes were highest in most subgroups of children (<15 years) versus adults (>21 years): in the accumbens (Cohen's d=−0·19 vs −0·10), amygdala (d=−0·18 vs −0·14), caudate (d=−0·13 vs −0·07), hippocampus (d=−0·12 vs −0·06), putamen (d=−0·18 vs −0·08), and intracranial volume (d=−0·14 vs 0·01). There was no difference between children and adults for the pallidum (p=0·79) or thalamus (p=0·89). Case-control differences in adults were non-significant (all p>0·03). Psychostimulant medication use (all p>0·15) or symptom scores (all p>0·02) did not influence results, nor did the presence of comorbid psychiatric disorders (all p>0·5). Interpretation With the largest dataset to date, we add new knowledge about bilateral amygdala, accumbens, and hippocampus reductions in ADHD. We extend the brain maturation delay theory for ADHD to include subcortical structures and refute medication effects on brain volume suggested by earlier meta-analyses. Lifespan analyses suggest that, in the absence of well powered longitudinal studies, the ENIGMA cross-sectional sample across six decades of ages provides a means to generate hypotheses about lifespan trajectories in brain phenotypes. Funding National Institutes of Health.

Original languageEnglish
Pages (from-to)310-319
Number of pages10
JournalThe Lancet. Psychiatry
Volume4
Issue number4
Early online date16 Feb 2017
DOIs
Publication statusPublished - Apr 2017

Funding

FundersFunder number
Medical Research CouncilG0300189
Horizon 2020 Framework Programme667302, 643051
National Institute of Mental HealthR01MH094639, T32MH067763, R01MH062873, R01MH062152, R21MH091461, K23MH087770, R01MH083246, U01MH099059, K01MH110645, R01MH081803
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European Commission602450, 278948
Australian Research CouncilFT110100548
National Health and Medical Research Council1103623
National Institute of Biomedical Imaging and BioengineeringP41EB015922, U54EB020403
National Human Genome Research InstituteZIAHG200378

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    1. SDG 17 - Partnerships for the Goals
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