TY  - JOUR
AU  - Schmaal, Lianne
AU  - Pozzi, Elena
AU  - C. Ho, Tiffany
AU  - van Velzen, Laura S.
AU  - Veer, Ilya M.
AU  - Opel, Nils
AU  - Van Someren, Eus J. W.
AU  - Han, Laura K. M.
AU  - Aftanas, Lybomir
AU  - Aleman, André
AU  - Baune, Bernhard T.
AU  - Berger, Klaus
AU  - Blanken, Tessa F.
AU  - Capitão, Liliana
AU  - Couvy-Duchesne, Baptiste
AU  - R. Cullen, Kathryn
AU  - Dannlowski, Udo
AU  - Davey, Christopher
AU  - Erwin-Grabner, Tracy
AU  - Evans, Jennifer
AU  - Frodl, Thomas
AU  - Fu, Cynthia H. Y.
AU  - Godlewska, Beata
AU  - Gotlib, Ian H.
AU  - Goya-Maldonado, Roberto
AU  - Grabe, Hans
AU  - Groenewold, Nynke A.
AU  - Grotegerd, Dominik
AU  - Gruber, Oliver
AU  - Gutman, Boris A.
AU  - Hall, Geoffrey B.
AU  - Harrison, Ben J.
AU  - Hatton, Sean N.
AU  - Hermesdorf, Marco
AU  - Hickie, Ian B.
AU  - Hilland, Eva
AU  - Irungu, Benson
AU  - Jonassen, Rune
AU  - Kelly, Sinead
AU  - Kircher, Tilo
AU  - Klimes-Dougan, Bonnie
AU  - Krug, Axel
AU  - Landrø, Nils Inge
AU  - Lagopoulos, Jim
AU  - Leerssen, Jeanne
AU  - Li, Meng
AU  - Linden, David E. J.
AU  - MacMaster, Frank P.
AU  - M. McIntosh, Andrew
AU  - Mehler, David M. A.
AU  - Nenadić, Igor
AU  - Penninx, Brenda W. J. H.
AU  - Portella, Maria J.
AU  - Reneman, Liesbeth
AU  - Rentería, Miguel E.
AU  - Sacchet, Matthew D.
AU  - G. Sämann, Philipp
AU  - Schrantee, Anouk
AU  - Sim, Kang
AU  - Soares, Jair C.
AU  - Stein, Dan J.
AU  - Tozzi, Leonardo
AU  - van Der Wee, Nic J. A.
AU  - van Tol, Marie-José
AU  - Vermeiren, Robert
AU  - Vives-Gilabert, Yolanda
AU  - Walter, Henrik
AU  - Walter, Martin
AU  - Whalley, Heather C.
AU  - Wittfeld, Katharina
AU  - Whittle, Sarah
AU  - Wright, Margaret J.
AU  - Yang, Tony T.
AU  - Zarate, Carlos
AU  - Thomopoulos, Sophia I.
AU  - Jahanshad, Neda
AU  - Thompson, Paul M.
AU  - Veltman, Dick J.
TI  - ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing
JO  - Translational Psychiatry
VL  - 10
IS  - 1
SN  - 2158-3188
CY  - London
PB  - Nature Publishing Group
M1  - DZNE-2020-01286
SP  - 172
PY  - 2020
AB  - A key objective in the field of translational psychiatry over the past few decades has been to identify the brain correlates of major depressive disorder (MDD). Identifying measurable indicators of brain processes associated with MDD could facilitate the detection of individuals at risk, and the development of novel treatments, the monitoring of treatment effects, and predicting who might benefit most from treatments that target specific brain mechanisms. However, despite intensive neuroimaging research towards this effort, underpowered studies and a lack of reproducible findings have hindered progress. Here, we discuss the work of the ENIGMA Major Depressive Disorder (MDD) Consortium, which was established to address issues of poor replication, unreliable results, and overestimation of effect sizes in previous studies. The ENIGMA MDD Consortium currently includes data from 45 MDD study cohorts from 14 countries across six continents. The primary aim of ENIGMA MDD is to identify structural and functional brain alterations associated with MDD that can be reliably detected and replicated across cohorts worldwide. A secondary goal is to investigate how demographic, genetic, clinical, psychological, and environmental factors affect these associations. In this review, we summarize findings of the ENIGMA MDD disease working group to date and discuss future directions. We also highlight the challenges and benefits of large-scale data sharing for mental health research.
KW  - Brain: diagnostic imaging
KW  - Depression
KW  - Depressive Disorder, Major: diagnostic imaging
KW  - Humans
KW  - Information Dissemination
KW  - Neuroimaging
LB  - PUB:(DE-HGF)16
C2  - pmc:PMC7260219
C6  - pmid:32472038
DO  - DOI:10.1038/s41398-020-0842-6
UR  - https://pub.dzne.de/record/153289
ER  -