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ENIGMA MDD : seven years of global neuroimaging studies of major depression through worldwide data sharing. / The ENIGMA-MDD DTI Working Group.

In: Translational Psychiatry, Vol. 10, No. 1, 172, 29.05.2020.

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The ENIGMA-MDD DTI Working Group. ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing. Translational Psychiatry. 2020 May 29;10(1):172. doi: 10.1038/s41398-020-0842-6

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The ENIGMA-MDD DTI Working Group. / ENIGMA MDD : seven years of global neuroimaging studies of major depression through worldwide data sharing. In: Translational Psychiatry. 2020 ; Vol. 10, No. 1.

BibTeX

@article{6854d763eaac450187e5b9d7c5f079c4,
title = "ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing",
abstract = "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.",
keywords = "POSTTRAUMATIC-STRESS-DISORDER, ANTERIOR CORONA RADIATA, WHITE-MATTER INTEGRITY, CORTICAL SURFACE-AREA, STAR-ASTERISK-D, CHILDHOOD MALTREATMENT, HIPPOCAMPAL VOLUME, PSYCHIATRIC-DISORDERS, LONGITUDINAL CHANGES, GENETIC INFLUENCES",
author = "{The ENIGMA-MDD DTI Working Group} and Lianne Schmaal and Elena Pozzi and {C. Ho}, Tiffany and {van Velzen}, {Laura S.} and Veer, {Ilya M.} and Nils Opel and {Van Someren}, {Eus J.W.} and Han, {Laura K.M.} and Lybomir Aftanas and Andr{\'e} Aleman and Baune, {Bernhard T.} and Klaus Berger and Blanken, {Tessa F.} and Liliana Capit{\~a}o and Baptiste Couvy-Duchesne and {R. Cullen}, Kathryn and Udo Dannlowski and Christopher Davey and Tracy Erwin-Grabner and Jennifer Evans and Thomas Frodl and Fu, {Cynthia H.Y.} and Beata Godlewska and Gotlib, {Ian H.} and Roberto Goya-Maldonado and Grabe, {Hans J.} and Groenewold, {Nynke A.} and Dominik Grotegerd and Oliver Gruber and Gutman, {Boris A.} and Hall, {Geoffrey B.} and Harrison, {Ben J.} and Hatton, {Sean N.} and Marco Hermesdorf and Hickie, {Ian B.} and Eva Hilland and Benson Irungu and Rune Jonassen and Sinead Kelly and Tilo Kircher and Bonnie Klimes-Dougan and Axel Krug and Landr{\o}, {Nils Inge} and Jim Lagopoulos and Jeanne Leerssen and Meng Li and Linden, {David E.J.} and MacMaster, {Frank P.} and {M. McIntosh}, Andrew and Mehler, {David M.A.}",
note = "Publisher Copyright: {\textcopyright} 2020, The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2020",
month = may,
day = "29",
doi = "10.1038/s41398-020-0842-6",
language = "English",
volume = "10",
journal = "Translational Psychiatry",
issn = "2158-3188",
publisher = "Nature Publishing Group",
number = "1",

}

RIS

TY - JOUR

T1 - ENIGMA MDD

T2 - seven years of global neuroimaging studies of major depression through worldwide data sharing

AU - The ENIGMA-MDD DTI Working Group

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 J.

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.

N1 - Publisher Copyright: © 2020, The Author(s). Copyright: Copyright 2020 Elsevier B.V., All rights reserved.

PY - 2020/5/29

Y1 - 2020/5/29

N2 - 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.

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 - POSTTRAUMATIC-STRESS-DISORDER

KW - ANTERIOR CORONA RADIATA

KW - WHITE-MATTER INTEGRITY

KW - CORTICAL SURFACE-AREA

KW - STAR-ASTERISK-D

KW - CHILDHOOD MALTREATMENT

KW - HIPPOCAMPAL VOLUME

KW - PSYCHIATRIC-DISORDERS

KW - LONGITUDINAL CHANGES

KW - GENETIC INFLUENCES

UR - http://www.scopus.com/inward/record.url?scp=85085688346&partnerID=8YFLogxK

U2 - 10.1038/s41398-020-0842-6

DO - 10.1038/s41398-020-0842-6

M3 - Review article

C2 - 32472038

AN - SCOPUS:85085688346

VL - 10

JO - Translational Psychiatry

JF - Translational Psychiatry

SN - 2158-3188

IS - 1

M1 - 172

ER -

ID: 24412029