dc.identifier.citation | Lianne Schmaal, Elena Pozzi, Tiffany Ho, Laura S. van Velzen, Ilya M. Veer, Nils Opel, Eus J.W. van Someren, Laura K.M. Han, André Aleman, Bernhard T. Baune, Klaus Berger, Tessa F. Blanken, Liliana Capitão, Baptiste Couvy-Duchesne, Kathryn Cullen, Udo Dannlowski, Christopher Davey, Tracy Erwin-Grabner, Jennifer Evans, Thomas Frodl, Cynthia H.Y. Fu,Beata Godlewska, Ian H. Gotlib, Roberto Goya-Maldonado, Hans J. Grabe, Nynke A. Groenewold, Dominik Grotegerd, Oliver Gruber, Boris A. Gutman, Geoffrey B. Hall, Ben J. Harrison, Sean N. Hatton, Marcos Hermesdorf, Ian B. Hickie, Eva Hilland, Benson Irungu, Rune Jonassen, Sinead Kelly, Tilo Kircher, Bonnie Klimes-Dougan, Axel Krug, Nils Inge Landrø, Jim Lagopoulos, Jeanne Leerssen, Meng Li, David E. J. Linden, Frank P. MacMaster, Andrew McIntosh, David M.A. Mehler, Igor Nenadic, Brenda W.J.H. Penninx, Maria J. Portella, Liesbeth Reneman, Miguel E. Rentería, Matthew D. Sacchet, Philipp Sämann, Anouk Schrantee, Kang Sim, Jair C. Soares, Dan J. Stein, Leonardo Tozzi, Nic J.A. van Der Wee, Marie-José van Tol, Robert Vermeiren, Yolanda Vives-Gilabert, Henrik Walter, Martin Walter, Heather C. Whalley, Katharina Wittfeld, Tony T. Yang, Sarah Whittle, Margareth J. Wright, Carlos Zarate Jr, Sophia I. Thomopoulos, Neda Jahanshad, Paul M. Thompson, Dick J. Veltman. ENIGMA MDD: Seven Years of Global Neuroimaging Studies of Major Depression through Worldwide Data Sharing | en |
dc.description.abstract | A key objective in the field of translational psychiatry over the past few decades has been to
identify the brain correlates common to individuals with 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 6 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. | en |