4.7 Review

ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing

期刊

TRANSLATIONAL PSYCHIATRY
卷 10, 期 1, 页码 -

出版社

NATURE PUBLISHING GROUP
DOI: 10.1038/s41398-020-0842-6

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资金

  1. NIH [R37 MH101495, U54 EB020403, R01 MH116147, R01 MH117601]
  2. NHMRC Career Development Fellowship [1140764]
  3. University Medical Center Goettingen (UMG Startfoerderung)
  4. German Federal Ministry of Education and Research (Bundesministerium fuer Bildung und Forschung) [BMBF: 01 ZX 1507]
  5. Ministerio de Ciencia e Innovacion of the Spanish Government
  6. Instituto de Salud Carlos III through a 'Miguel Servet' research contract [CP16-0020]
  7. National Research Plan (Plan Estatal de I+D+I 2016-2019)
  8. European Regional Development Fund (ERDF)
  9. NIHR BRC
  10. Canadian Institutes for Health Research
  11. Branch Out Neurological Foundation
  12. Medical Research Council [G 1100629]
  13. National Center for Mental Health (NCMH) - Health Research Wales [HS/14/20]
  14. Deutsche Forschungsgemeinschaft (DFG) [GR1950/5-1, GR1950/10-1]
  15. Deutsche Forschungsgemeinschaft [WA 1539/4-1]
  16. Lundbeck
  17. German Research Foundation [WA 1539/4-1, SCHN 1205/3-1, SCHR443/11-1]
  18. Gratama Foundation, the Netherlands [2012/35]
  19. IMAGEMEND from the European Community's Seventh Framework Programme (FP7/2007-2013) [602450]
  20. Wellcome Trust [104036/Z/14/Z]
  21. German Research Foundation (DFG) [FOR2107, FOR2107 KR 3822/7-2, FOR2107 KI 588/14-2, FOR2107 JA 1890/7-2, FOR2107 DA1151/5-1, DA1151/5-2, SFB-TRR58]
  22. NIMH [R01 085667, R01MH085734, 5K01MH117442]
  23. Dunn Research Foundation
  24. Pat Rutherford, Jr. Endowed Chair in Psychiatry
  25. NHG [SIG/15012]
  26. NMRC CISSP (2018)
  27. National Health and Medical Research Council of Australia (NHMRC) Project Grants [1064643, 1024570]
  28. National Institute of Mental Health [K23MH090421]
  29. Biotechnology Research Center (Center for Magnetic Resonance Research) [P41 RR008079]
  30. National Alliance for Research on Schizophrenia and Depression
  31. University of Minnesota Graduate School
  32. Minnesota Medical Foundation
  33. Interdisciplinary Center for Clinical Research (IZKF) of the medical faculty of Munster [Dan3/012/17]
  34. Geestkracht program of the Netherlands Organisation for Health Research and Development (Zon-Mw) [10-000-1002]
  35. VU University Medical Center
  36. GGZ inGeest
  37. Arkin
  38. Leiden University Medical Center
  39. GGZ Rivierduinen
  40. University Medical Center Groningen
  41. ERA-NET PRIOMEDCHILD FP 6 (EU) grant [11.32050.26]
  42. Research Council of Norway [229135]
  43. South East Norway Health Authority Research Funding [2015052]
  44. Department of Psychology, University of Oslo, Norway
  45. NIH/NCCIH [1R61AT009864-01A1]
  46. Federal Ministry of Education and Research [01ZZ9603, 01ZZ0103, 01ZZ0403]
  47. Ministry of Cultural Affairs
  48. Social Ministry of the Federal State of Mecklenburg-West Pomerania
  49. Siemens Healthineers, Erlangen, Germany
  50. Federal State of Mecklenburg-West Pomerania
  51. German Federal Ministry of Education and Research (BMBF) [FKZ-01ER0816, FKZ-01ER1506]
  52. Phyllis and Jerome Lyle Rappaport Foundation
  53. NIMH
  54. European Research Council [ERC-ADG-2014-671084]
  55. VU University Amsterdam University Research Fellowship 2016-2017
  56. VU University Amsterdam University Research Fellowship 2017-2018

向作者/读者索取更多资源

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.

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