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. 2021 Oct;62(10):1202-1219.
doi: 10.1111/jcpp.13396. Epub 2021 Mar 22.

Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets

Merel C Postema  1 Martine Hoogman  2   3 Sara Ambrosino  4 Philip Asherson  5 Tobias Banaschewski  6 Cibele E Bandeira  7   8 Alexandr Baranov  9 Claiton H D Bau  7   8   10 Sarah Baumeister  6 Ramona Baur-Streubel  11 Mark A Bellgrove  12 Joseph Biederman  13   14 Janita Bralten  2   3 Daniel Brandeis  15   16 Silvia Brem  16   15 Jan K Buitelaar  17   18 Geraldo F Busatto  19 Francisco X Castellanos  20   21 Mara Cercignani  22 Tiffany M Chaim-Avancini  19 Kaylita C Chantiluke  23 Anastasia Christakou  23   24 David Coghill  25   26 Annette Conzelmann  27   28 Ana I Cubillo  23 Renata B Cupertino  7   8 Patrick de Zeeuw  29 Alysa E Doyle  14   30 Sarah Durston  29 Eric A Earl  31 Jeffery N Epstein  32   33 Thomas Ethofer  34 Damien A Fair  31 Andreas J Fallgatter  35   36 Stephen V Faraone  37 Thomas Frodl  38   39 Matt C Gabel  22 Tinatin Gogberashvili  40 Eugenio H Grevet  7   8   10 Jan Haavik  41   42 Neil A Harrison  22   43 Catharina A Hartman  44 Dirk J Heslenfeld  45 Pieter J Hoekstra  46 Sarah Hohmann  6 Marie F Høvik  42   47 Terry L Jernigan  48 Bernd Kardatzki  49 Georgii Karkashadze  9 Clare Kelly  50   51 Gregor Kohls  52 Kerstin Konrad  52   53 Jonna Kuntsi  5 Luisa Lazaro  54   55 Sara Lera-Miguel  56 Klaus-Peter Lesch  57   58   59 Mario R Louza  60 Astri J Lundervold  41   61 Charles B Malpas  62   63 Paulo Mattos  64   65 Hazel McCarthy  39   66 Leyla Namazova-Baranova  9   67 Rosa Nicolau  68 Joel T Nigg  31   69 Stephanie E Novotny  70 Eileen Oberwelland Weiss  71   72 Ruth L O'Gorman Tuura  73   74 Jaap Oosterlaan  75   76 Bob Oranje  29 Yannis Paloyelis  77 Paul Pauli  78 Felipe A Picon  7 Kerstin J Plessen  79   80 J Antoni Ramos-Quiroga  81   82   83   84 Andreas Reif  85 Liesbeth Reneman  86 Pedro G P Rosa  19 Katya Rubia  23 Anouk Schrantee  87 Lizanne J S Schweren  44 Jochen Seitz  88 Philip Shaw  89 Tim J Silk  90   91 Norbert Skokauskas  92   93 Juan C Soliva Vila  94 Michael C Stevens  70   95 Gustavo Sudre  96 Leanne Tamm  97   98 Fernanda Tovar-Moll  64   99 Theo G M van Erp  100   101 Alasdair Vance  102 Oscar Vilarroya  94   103 Yolanda Vives-Gilabert  104 Georg G von Polier  88   105 Susanne Walitza  15 Yuliya N Yoncheva  106 Marcus V Zanetti  107   108 Georg C Ziegler  57 David C Glahn  70   109 Neda Jahanshad  110 Sarah E Medland  111 ENIGMA ADHD Working GroupPaul M Thompson  112 Simon E Fisher  1   3 Barbara Franke  2   3   113 Clyde Francks  1   3
Affiliations

Analysis of structural brain asymmetries in attention-deficit/hyperactivity disorder in 39 datasets

Merel C Postema et al. J Child Psychol Psychiatry. 2021 Oct.

Abstract

Objective: Some studies have suggested alterations of structural brain asymmetry in attention-deficit/hyperactivity disorder (ADHD), but findings have been contradictory and based on small samples. Here, we performed the largest ever analysis of brain left-right asymmetry in ADHD, using 39 datasets of the ENIGMA consortium.

Methods: We analyzed asymmetry of subcortical and cerebral cortical structures in up to 1,933 people with ADHD and 1,829 unaffected controls. Asymmetry Indexes (AIs) were calculated per participant for each bilaterally paired measure, and linear mixed effects modeling was applied separately in children, adolescents, adults, and the total sample, to test exhaustively for potential associations of ADHD with structural brain asymmetries.

Results: There was no evidence for altered caudate nucleus asymmetry in ADHD, in contrast to prior literature. In children, there was less rightward asymmetry of the total hemispheric surface area compared to controls (t = 2.1, p = .04). Lower rightward asymmetry of medial orbitofrontal cortex surface area in ADHD (t = 2.7, p = .01) was similar to a recent finding for autism spectrum disorder. There were also some differences in cortical thickness asymmetry across age groups. In adults with ADHD, globus pallidus asymmetry was altered compared to those without ADHD. However, all effects were small (Cohen's d from -0.18 to 0.18) and would not survive study-wide correction for multiple testing.

Conclusion: Prior studies of altered structural brain asymmetry in ADHD were likely underpowered to detect the small effects reported here. Altered structural asymmetry is unlikely to provide a useful biomarker for ADHD, but may provide neurobiological insights into the trait.

Keywords: Attention-deficit; brain asymmetry; brain laterality; hyperactivity disorder; large-scale data; structural MRI.

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Conflict of interest statement

Conflict of interest statement: See Acknowledgements for full disclosures.

Figures

Figure 1.
Figure 1.
Cohen’s d effect sizes of the associations between ADHD diagnosis and AIs of subcortical volumes, cortical surface areas and cortical thicknesses for (A) children, (B) adolescents, (C) adults, and (D) all age groups combined. Positive values (red) indicate mean shifts towards greater leftward or reduced rightward asymmetry in ADHD, and negative values (blue) indicate mean shifts towards greater rightward asymmetry or reduced leftward asymmetry in ADHD.

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