Abstract
Childhood adversity plays an important role for development of major depressive disorder (MDD). There are differences in subcortical brain structures between patients with MDD and healthy controls, but the specific impact of childhood adversity on such structures in MDD remains unclear. Thus, aim of the present study was to investigate whether childhood adversity is associated with subcortical volumes and how it interacts with a diagnosis of MDD and sex. Within the ENIGMA-MDD network, nine university partner sites, which assessed childhood adversity and magnetic resonance imaging in patients with MDD and controls, took part in the current joint mega-analysis. In this largest effort world-wide to identify subcortical brain structure differences related to childhood adversity, 3036 participants were analyzed for subcortical brain volumes using FreeSurfer. A significant interaction was evident between childhood adversity, MDD diagnosis, sex, and region. Increased exposure to childhood adversity was associated with smaller caudate volumes in females independent of MDD. All subcategories of childhood adversity were negatively associated with caudate volumes in females - in particular emotional neglect and physical neglect (independently from age, ICV, imaging site and MDD diagnosis). There was no interaction effect between childhood adversity and MDD diagnosis on subcortical brain volumes. Childhood adversity is one of the contributors to brain structural abnormalities. It is associated with subcortical brain abnormalities that are relevant to psychiatric disorders such as depression.
| Original language | English |
|---|---|
| Journal | Journal of Psychiatric Research |
| Volume | 86 |
| Pages (from-to) | 58-65 |
| Number of pages | 8 |
| ISSN | 0022-3956 |
| DOIs | |
| Publication status | Published - 01.03.2017 |
Funding
The ENIGMA-Major Depressive Disorder working group gratefully acknowledges support from the NIH BD2K award, U54EB020403 . NESDA: The infrastructure for the NESDA study ( www.nesda.nl ) is funded through the Geestkracht program of the Netherlands Organisation for Health Research and Development (Zon-Mw, grant number 10-000-1002 ) and is supported by participating universities (VU University Medical Center, GGZ inGeest, Arkin, Leiden University Medical Center, GGZ Rivierduinen, University Medical Center Groningen) and mental health care organizations, see www.nesda.nl . Lianne Schmaal is supported by The Netherlands Brain Foundation Grant number F2014(1)-24 . Marie-José van Tol is supported by VENI grant (NWO grant number 016.156.077 ). QTIM: Australian National Health and Medical Research Council (Project Grants No. 496682 and 1009064 to MJ Wright and Fellowship No. 464914 to IB Hickie), US National Institute of Child Health and Human Development (RO1HD050735 to MJ Wright), and US National Institute on Drug Abuse (R00DA023549 to NA Gillespie). Baptiste Couvy-Duchesne is supported by a University of Queensland International PhD scholarship. We are grateful to the twins for their generosity of time and willingness to participate in our studies. We thank research assistants Marlene Grace, Ann Eldridge, Richard Parker, Lenore Sullivan, Lorelle Nunn, Kerrie Mcaloney, Kori Johnson, Aaron Quiggle, and Natalie Garden, radiographers Matthew Meredith, Peter Hobden, Kate Borg, Aiman Al Najjar, and Anita Burns for acquisition of the scans, and David Smyth, Anthony Conciotrorre, Daniel Park, and David Butler for IT support. CODE: The CODE cohort was collected from studies funded by Lundbeck and the German Research Foundation ( WA 1539/4-1 , SCHN 1204/3-1 ). Elizabeth Schramm is supported by the Grant of the Deutsche Forschungsgemeinschaft/German Research Association ( SCHR443/11-1 ). MPIP: The MPIP Munich Morphometry Sample comprises images acquired as part of the Munich Antidepressant Response Signature Study and the Recurrent Unipolar Depression (RUD) Case-Control study performed at the MPIP, and control subjects acquired at the Ludwig-Maximilians-University, Munich, Department of Psychiatry. We wish to acknowledge Anna Olynyik and radiographers Rosa Schirmer, Elke Schreiter, Reinhold Borschke and Ines Eidner for image acquisition and data preparation. We thank Dorothee P. Auer for local study management in the initial phase of the RUD study. The study is supported by a grant of the Exzellenz-Stiftung of the Max Planck Society. This work has also been funded by the Federal Ministry of Education and Research (BMBF) in the framework of the National Genome Research Network (NGFN) , FKZ 01GS0481 . SHIP: The Study of Health in Pomerania (SHIP) is supported by the German Federal Ministry of Education and Research (grants 01ZZ9603 , 01ZZ0103 and 01ZZ0403 ) the Ministry of Cultural Affairs as well as the Social Ministry of the Federal State of Mecklenburg-West Pomerania. MRI scans were supported by Siemens Healthcare, Erlangen, Germany. SHIP-LEGEND was supported by the German Research Foundation ( GR1912/5-1 ). Rotterdam study: Netherlands Organisation for Scientific Research (NWO – ZonMW, VIDI grantnumber 017.106.370 to Henning Tiemeier. Dr. Meike W. Vernooij is supported by an Erasmus MC fellowship and a ZonMW clinical fellowship (90700435). We thank Daniel Bos for his contribution to this work. South Africa: Dan Stein is supported by the Medical Research Council of South Africa. Dublin: Thomas Frodl and Leonardo Tozzi are supported by European Union Marie Curie International Training Grant (r’Birth). Moreover, Thomas Frodl is supported by Science Foundation Ireland (SFI) through a SFI-Stokes Professorship Grant and Health Research Board Ireland (HRB). Münster: The study was supported by grants from the German Research Foundation (DFG; grant FOR 2107 ; DA1151/5-1 to UD), and Innovative Medizinische Forschung (IMF) of the Medical Faculty of Münster ( DA120903 to UD, DA111107 to UD, and DA211012 to UD).
Research Areas and Centers
- Academic Focus: Center for Brain, Behavior and Metabolism (CBBM)
