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

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 dev...

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Veröffentlicht in:Translational psychiatry 2020-05, Vol.10 (1), p.172, Article 172
Hauptverfasser: Schmaal, Lianne, Pozzi, Elena, C. Ho, Tiffany, van Velzen, Laura S., Veer, Ilya M., Opel, Nils, Van Someren, Eus J. W., Han, Laura K. M., Aftanas, Lybomir, Aleman, André, Baune, Bernhard T., Berger, Klaus, Blanken, Tessa F., Capitão, Liliana, Couvy-Duchesne, Baptiste, R. Cullen, Kathryn, Dannlowski, Udo, Davey, Christopher, Erwin-Grabner, Tracy, Evans, Jennifer, Frodl, Thomas, Fu, Cynthia H. Y., Godlewska, Beata, Gotlib, Ian H., Goya-Maldonado, Roberto, Grabe, Hans J., Groenewold, Nynke A., Grotegerd, Dominik, Gruber, Oliver, Gutman, Boris A., Hall, Geoffrey B., Harrison, Ben J., Hatton, Sean N., Hermesdorf, Marco, Hickie, Ian B., Hilland, Eva, Irungu, Benson, Jonassen, Rune, Kelly, Sinead, Kircher, Tilo, Klimes-Dougan, Bonnie, Krug, Axel, Landrø, Nils Inge, Lagopoulos, Jim, Leerssen, Jeanne, Li, Meng, Linden, David E. J., MacMaster, Frank P., M. McIntosh, Andrew, Mehler, David M. A., Nenadić, Igor, Penninx, Brenda W. J. H., Portella, Maria J., Reneman, Liesbeth, Rentería, Miguel E., Sacchet, Matthew D., G. Sämann, Philipp, Schrantee, Anouk, Sim, Kang, Soares, Jair C., Stein, Dan J., Tozzi, Leonardo, van Der Wee, Nic J. A., van Tol, Marie-José, Vermeiren, Robert, Vives-Gilabert, Yolanda, Walter, Henrik, Walter, Martin, Whalley, Heather C., Wittfeld, Katharina, Whittle, Sarah, Wright, Margaret J., Yang, Tony T., Zarate, Carlos, Thomopoulos, Sophia I., Jahanshad, Neda, Thompson, Paul M., Veltman, Dick J.
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container_title Translational psychiatry
container_volume 10
creator Schmaal, Lianne
Pozzi, Elena
C. Ho, Tiffany
van Velzen, Laura S.
Veer, Ilya M.
Opel, Nils
Van Someren, Eus J. W.
Han, Laura K. M.
Aftanas, Lybomir
Aleman, André
Baune, Bernhard T.
Berger, Klaus
Blanken, Tessa F.
Capitão, Liliana
Couvy-Duchesne, Baptiste
R. Cullen, Kathryn
Dannlowski, Udo
Davey, Christopher
Erwin-Grabner, Tracy
Evans, Jennifer
Frodl, Thomas
Fu, Cynthia H. Y.
Godlewska, Beata
Gotlib, Ian H.
Goya-Maldonado, Roberto
Grabe, Hans J.
Groenewold, Nynke A.
Grotegerd, Dominik
Gruber, Oliver
Gutman, Boris A.
Hall, Geoffrey B.
Harrison, Ben J.
Hatton, Sean N.
Hermesdorf, Marco
Hickie, Ian B.
Hilland, Eva
Irungu, Benson
Jonassen, Rune
Kelly, Sinead
Kircher, Tilo
Klimes-Dougan, Bonnie
Krug, Axel
Landrø, Nils Inge
Lagopoulos, Jim
Leerssen, Jeanne
Li, Meng
Linden, David E. J.
MacMaster, Frank P.
M. McIntosh, Andrew
Mehler, David M. A.
Nenadić, Igor
Penninx, Brenda W. J. H.
Portella, Maria J.
Reneman, Liesbeth
Rentería, Miguel E.
Sacchet, Matthew D.
G. Sämann, Philipp
Schrantee, Anouk
Sim, Kang
Soares, Jair C.
Stein, Dan J.
Tozzi, Leonardo
van Der Wee, Nic J. A.
van Tol, Marie-José
Vermeiren, Robert
Vives-Gilabert, Yolanda
Walter, Henrik
Walter, Martin
Whalley, Heather C.
Wittfeld, Katharina
Whittle, Sarah
Wright, Margaret J.
Yang, Tony T.
Zarate, Carlos
Thomopoulos, Sophia I.
Jahanshad, Neda
Thompson, Paul M.
Veltman, Dick J.
description 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.
doi_str_mv 10.1038/s41398-020-0842-6
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Ho, Tiffany ; van Velzen, Laura S. ; Veer, Ilya M. ; Opel, Nils ; Van Someren, Eus J. W. ; Han, Laura K. M. ; Aftanas, Lybomir ; Aleman, André ; Baune, Bernhard T. ; Berger, Klaus ; Blanken, Tessa F. ; Capitão, Liliana ; Couvy-Duchesne, Baptiste ; R. Cullen, Kathryn ; Dannlowski, Udo ; Davey, Christopher ; Erwin-Grabner, Tracy ; Evans, Jennifer ; Frodl, Thomas ; Fu, Cynthia H. Y. ; Godlewska, Beata ; Gotlib, Ian H. ; Goya-Maldonado, Roberto ; Grabe, Hans J. ; Groenewold, Nynke A. ; Grotegerd, Dominik ; Gruber, Oliver ; Gutman, Boris A. ; Hall, Geoffrey B. ; Harrison, Ben J. ; Hatton, Sean N. ; Hermesdorf, Marco ; Hickie, Ian B. ; Hilland, Eva ; Irungu, Benson ; Jonassen, Rune ; Kelly, Sinead ; Kircher, Tilo ; Klimes-Dougan, Bonnie ; Krug, Axel ; Landrø, Nils Inge ; Lagopoulos, Jim ; Leerssen, Jeanne ; Li, Meng ; Linden, David E. J. ; MacMaster, Frank P. ; M. McIntosh, Andrew ; Mehler, David M. A. ; Nenadić, Igor ; Penninx, Brenda W. J. H. ; Portella, Maria J. ; Reneman, Liesbeth ; Rentería, Miguel E. ; Sacchet, Matthew D. ; G. Sämann, Philipp ; Schrantee, Anouk ; Sim, Kang ; Soares, Jair C. ; Stein, Dan J. ; Tozzi, Leonardo ; van Der Wee, Nic J. A. ; van Tol, Marie-José ; Vermeiren, Robert ; Vives-Gilabert, Yolanda ; Walter, Henrik ; Walter, Martin ; Whalley, Heather C. ; Wittfeld, Katharina ; Whittle, Sarah ; Wright, Margaret J. ; Yang, Tony T. ; Zarate, Carlos ; Thomopoulos, Sophia I. ; Jahanshad, Neda ; Thompson, Paul M. ; Veltman, Dick J.</creator><creatorcontrib>Schmaal, Lianne ; Pozzi, Elena ; C. Ho, Tiffany ; van Velzen, Laura S. ; Veer, Ilya M. ; Opel, Nils ; Van Someren, Eus J. W. ; Han, Laura K. M. ; Aftanas, Lybomir ; Aleman, André ; Baune, Bernhard T. ; Berger, Klaus ; Blanken, Tessa F. ; Capitão, Liliana ; Couvy-Duchesne, Baptiste ; R. Cullen, Kathryn ; Dannlowski, Udo ; Davey, Christopher ; Erwin-Grabner, Tracy ; Evans, Jennifer ; Frodl, Thomas ; Fu, Cynthia H. Y. ; Godlewska, Beata ; Gotlib, Ian H. ; Goya-Maldonado, Roberto ; Grabe, Hans J. ; Groenewold, Nynke A. ; Grotegerd, Dominik ; Gruber, Oliver ; Gutman, Boris A. ; Hall, Geoffrey B. ; Harrison, Ben J. ; Hatton, Sean N. ; Hermesdorf, Marco ; Hickie, Ian B. ; Hilland, Eva ; Irungu, Benson ; Jonassen, Rune ; Kelly, Sinead ; Kircher, Tilo ; Klimes-Dougan, Bonnie ; Krug, Axel ; Landrø, Nils Inge ; Lagopoulos, Jim ; Leerssen, Jeanne ; Li, Meng ; Linden, David E. J. ; MacMaster, Frank P. ; M. McIntosh, Andrew ; Mehler, David M. A. ; Nenadić, Igor ; Penninx, Brenda W. J. H. ; Portella, Maria J. ; Reneman, Liesbeth ; Rentería, Miguel E. ; Sacchet, Matthew D. ; G. Sämann, Philipp ; Schrantee, Anouk ; Sim, Kang ; Soares, Jair C. ; Stein, Dan J. ; Tozzi, Leonardo ; van Der Wee, Nic J. A. ; van Tol, Marie-José ; Vermeiren, Robert ; Vives-Gilabert, Yolanda ; Walter, Henrik ; Walter, Martin ; Whalley, Heather C. ; Wittfeld, Katharina ; Whittle, Sarah ; Wright, Margaret J. ; Yang, Tony T. ; Zarate, Carlos ; Thomopoulos, Sophia I. ; Jahanshad, Neda ; Thompson, Paul M. ; Veltman, Dick J.</creatorcontrib><description>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. 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A.</creatorcontrib><creatorcontrib>van Tol, Marie-José</creatorcontrib><creatorcontrib>Vermeiren, Robert</creatorcontrib><creatorcontrib>Vives-Gilabert, Yolanda</creatorcontrib><creatorcontrib>Walter, Henrik</creatorcontrib><creatorcontrib>Walter, Martin</creatorcontrib><creatorcontrib>Whalley, Heather C.</creatorcontrib><creatorcontrib>Wittfeld, Katharina</creatorcontrib><creatorcontrib>Whittle, Sarah</creatorcontrib><creatorcontrib>Wright, Margaret J.</creatorcontrib><creatorcontrib>Yang, Tony T.</creatorcontrib><creatorcontrib>Zarate, Carlos</creatorcontrib><creatorcontrib>Thomopoulos, Sophia I.</creatorcontrib><creatorcontrib>Jahanshad, Neda</creatorcontrib><creatorcontrib>Thompson, Paul M.</creatorcontrib><creatorcontrib>Veltman, Dick J.</creatorcontrib><title>ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing</title><title>Translational psychiatry</title><addtitle>Transl Psychiatry</addtitle><addtitle>Transl Psychiatry</addtitle><description>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.</description><subject>59/57</subject><subject>631/378</subject><subject>692/699/476/1414</subject><subject>Behavioral Sciences</subject><subject>Biological Psychology</subject><subject>Brain - diagnostic imaging</subject><subject>Brain research</subject><subject>Consortia</subject><subject>Depression</subject><subject>Depressive Disorder, Major - diagnostic imaging</subject><subject>Humans</subject><subject>Information Dissemination</subject><subject>Information sharing</subject><subject>Medical imaging</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Neuroimaging</subject><subject>Neurosciences</subject><subject>Pharmacotherapy</subject><subject>Psychiatry</subject><subject>Review</subject><subject>Review Article</subject><issn>2158-3188</issn><issn>2158-3188</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>3HK</sourceid><recordid>eNp9kU9PFTEUxRujEYJ8ADbaxPVg_047LkwIIJKAbmTddKZ35vVlXvtsZyB8ezs8QFxoN21yz_3de3oQOqLkmBKuP2VBeaMrwkhFtGBV_QrtMyp1xanWr1-899BhzmtSjhSaKvoW7XEmFCuQfeTPv19eXJ_g67OzzzjDLQR8DzZlHHs8jLG1Iw4wp-g3dvBhwHmanYeH8sauY8IOtgly9jHgaZXiPKzwXUyju_MOsLOTxXllU2l9h970dsxw-HgfoJuv5z9Pv1VXPy4uT0-uqk4yNlWUCkcEEE27plMtB2VB10S3irmmFow0tJeCd7KvBdhG2r6Y6azlveBt3zl-gL7suNu53YDrIEzJjmabioV0b6L15u9K8CszxFujWE0YbQrgww7QJZ8nH0yIyRpKtGRGaSEXxcfHESn-miFPZh3nFIorw4RWTGpB6v-riFJS0JoVFX2aFnNO0D9vSolZgja7oE0J2ixBm4X8_qXF546nWIuA7QR5u3w9pD-j_039DaQnsik</recordid><startdate>20200529</startdate><enddate>20200529</enddate><creator>Schmaal, Lianne</creator><creator>Pozzi, Elena</creator><creator>C. 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Ho, Tiffany ; van Velzen, Laura S. ; Veer, Ilya M. ; Opel, Nils ; Van Someren, Eus J. W. ; Han, Laura K. M. ; Aftanas, Lybomir ; Aleman, André ; Baune, Bernhard T. ; Berger, Klaus ; Blanken, Tessa F. ; Capitão, Liliana ; Couvy-Duchesne, Baptiste ; R. Cullen, Kathryn ; Dannlowski, Udo ; Davey, Christopher ; Erwin-Grabner, Tracy ; Evans, Jennifer ; Frodl, Thomas ; Fu, Cynthia H. Y. ; Godlewska, Beata ; Gotlib, Ian H. ; Goya-Maldonado, Roberto ; Grabe, Hans J. ; Groenewold, Nynke A. ; Grotegerd, Dominik ; Gruber, Oliver ; Gutman, Boris A. ; Hall, Geoffrey B. ; Harrison, Ben J. ; Hatton, Sean N. ; Hermesdorf, Marco ; Hickie, Ian B. ; Hilland, Eva ; Irungu, Benson ; Jonassen, Rune ; Kelly, Sinead ; Kircher, Tilo ; Klimes-Dougan, Bonnie ; Krug, Axel ; Landrø, Nils Inge ; Lagopoulos, Jim ; Leerssen, Jeanne ; Li, Meng ; Linden, David E. J. ; MacMaster, Frank P. ; M. McIntosh, Andrew ; Mehler, David M. A. ; Nenadić, Igor ; Penninx, Brenda W. J. H. ; Portella, Maria J. ; Reneman, Liesbeth ; Rentería, Miguel E. ; Sacchet, Matthew D. ; G. Sämann, Philipp ; Schrantee, Anouk ; Sim, Kang ; Soares, Jair C. ; Stein, Dan J. ; Tozzi, Leonardo ; van Der Wee, Nic J. A. ; van Tol, Marie-José ; Vermeiren, Robert ; Vives-Gilabert, Yolanda ; Walter, Henrik ; Walter, Martin ; Whalley, Heather C. ; Wittfeld, Katharina ; Whittle, Sarah ; Wright, Margaret J. ; Yang, Tony T. ; Zarate, Carlos ; Thomopoulos, Sophia I. ; Jahanshad, Neda ; Thompson, Paul M. ; Veltman, Dick J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c522t-114d04e081c9c7b3e7ae8608b72d9642091f543c5f64ea95af324caa3f43bfcd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>59/57</topic><topic>631/378</topic><topic>692/699/476/1414</topic><topic>Behavioral Sciences</topic><topic>Biological Psychology</topic><topic>Brain - diagnostic imaging</topic><topic>Brain research</topic><topic>Consortia</topic><topic>Depression</topic><topic>Depressive Disorder, Major - diagnostic imaging</topic><topic>Humans</topic><topic>Information Dissemination</topic><topic>Information sharing</topic><topic>Medical imaging</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Neuroimaging</topic><topic>Neurosciences</topic><topic>Pharmacotherapy</topic><topic>Psychiatry</topic><topic>Review</topic><topic>Review Article</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Schmaal, Lianne</creatorcontrib><creatorcontrib>Pozzi, Elena</creatorcontrib><creatorcontrib>C. 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A.</creatorcontrib><creatorcontrib>van Tol, Marie-José</creatorcontrib><creatorcontrib>Vermeiren, Robert</creatorcontrib><creatorcontrib>Vives-Gilabert, Yolanda</creatorcontrib><creatorcontrib>Walter, Henrik</creatorcontrib><creatorcontrib>Walter, Martin</creatorcontrib><creatorcontrib>Whalley, Heather C.</creatorcontrib><creatorcontrib>Wittfeld, Katharina</creatorcontrib><creatorcontrib>Whittle, Sarah</creatorcontrib><creatorcontrib>Wright, Margaret J.</creatorcontrib><creatorcontrib>Yang, Tony T.</creatorcontrib><creatorcontrib>Zarate, Carlos</creatorcontrib><creatorcontrib>Thomopoulos, Sophia I.</creatorcontrib><creatorcontrib>Jahanshad, Neda</creatorcontrib><creatorcontrib>Thompson, Paul M.</creatorcontrib><creatorcontrib>Veltman, Dick J.</creatorcontrib><collection>Springer Nature OA Free Journals</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>NORA - Norwegian Open Research Archives</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Translational psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Schmaal, Lianne</au><au>Pozzi, Elena</au><au>C. Ho, Tiffany</au><au>van Velzen, Laura S.</au><au>Veer, Ilya M.</au><au>Opel, Nils</au><au>Van Someren, Eus J. W.</au><au>Han, Laura K. M.</au><au>Aftanas, Lybomir</au><au>Aleman, André</au><au>Baune, Bernhard T.</au><au>Berger, Klaus</au><au>Blanken, Tessa F.</au><au>Capitão, Liliana</au><au>Couvy-Duchesne, Baptiste</au><au>R. Cullen, Kathryn</au><au>Dannlowski, Udo</au><au>Davey, Christopher</au><au>Erwin-Grabner, Tracy</au><au>Evans, Jennifer</au><au>Frodl, Thomas</au><au>Fu, Cynthia H. Y.</au><au>Godlewska, Beata</au><au>Gotlib, Ian H.</au><au>Goya-Maldonado, Roberto</au><au>Grabe, Hans J.</au><au>Groenewold, Nynke A.</au><au>Grotegerd, Dominik</au><au>Gruber, Oliver</au><au>Gutman, Boris A.</au><au>Hall, Geoffrey B.</au><au>Harrison, Ben J.</au><au>Hatton, Sean N.</au><au>Hermesdorf, Marco</au><au>Hickie, Ian B.</au><au>Hilland, Eva</au><au>Irungu, Benson</au><au>Jonassen, Rune</au><au>Kelly, Sinead</au><au>Kircher, Tilo</au><au>Klimes-Dougan, Bonnie</au><au>Krug, Axel</au><au>Landrø, Nils Inge</au><au>Lagopoulos, Jim</au><au>Leerssen, Jeanne</au><au>Li, Meng</au><au>Linden, David E. J.</au><au>MacMaster, Frank P.</au><au>M. McIntosh, Andrew</au><au>Mehler, David M. A.</au><au>Nenadić, Igor</au><au>Penninx, Brenda W. J. H.</au><au>Portella, Maria J.</au><au>Reneman, Liesbeth</au><au>Rentería, Miguel E.</au><au>Sacchet, Matthew D.</au><au>G. Sämann, Philipp</au><au>Schrantee, Anouk</au><au>Sim, Kang</au><au>Soares, Jair C.</au><au>Stein, Dan J.</au><au>Tozzi, Leonardo</au><au>van Der Wee, Nic J. A.</au><au>van Tol, Marie-José</au><au>Vermeiren, Robert</au><au>Vives-Gilabert, Yolanda</au><au>Walter, Henrik</au><au>Walter, Martin</au><au>Whalley, Heather C.</au><au>Wittfeld, Katharina</au><au>Whittle, Sarah</au><au>Wright, Margaret J.</au><au>Yang, Tony T.</au><au>Zarate, Carlos</au><au>Thomopoulos, Sophia I.</au><au>Jahanshad, Neda</au><au>Thompson, Paul M.</au><au>Veltman, Dick J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing</atitle><jtitle>Translational psychiatry</jtitle><stitle>Transl Psychiatry</stitle><addtitle>Transl Psychiatry</addtitle><date>2020-05-29</date><risdate>2020</risdate><volume>10</volume><issue>1</issue><spage>172</spage><pages>172-</pages><artnum>172</artnum><issn>2158-3188</issn><eissn>2158-3188</eissn><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.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32472038</pmid><doi>10.1038/s41398-020-0842-6</doi><orcidid>https://orcid.org/0000-0002-9149-8726</orcidid><orcidid>https://orcid.org/0000-0002-5638-9292</orcidid><orcidid>https://orcid.org/0000-0003-1431-3852</orcidid><orcidid>https://orcid.org/0000-0001-9647-3723</orcidid><orcidid>https://orcid.org/0000-0001-9822-048X</orcidid><orcidid>https://orcid.org/0000-0003-4383-5043</orcidid><orcidid>https://orcid.org/0000-0002-0198-4588</orcidid><orcidid>https://orcid.org/0000-0003-3684-4208</orcidid><orcidid>https://orcid.org/0000-0003-4401-8950</orcidid><orcidid>https://orcid.org/0000-0002-4505-8869</orcidid><orcidid>https://orcid.org/0000-0003-3209-9626</orcidid><orcidid>https://orcid.org/0000-0001-7133-4970</orcidid><orcidid>https://orcid.org/0000-0002-9403-6121</orcidid><orcidid>https://orcid.org/0000-0003-4626-7248</orcidid><orcidid>https://orcid.org/0000-0003-3117-5156</orcidid><orcidid>https://orcid.org/0000-0001-7218-7810</orcidid><orcidid>https://orcid.org/0000-0002-9260-5490</orcidid><orcidid>https://orcid.org/0000-0002-9429-6476</orcidid><orcidid>https://orcid.org/0000-0002-0564-2497</orcidid><oa>free_for_read</oa></addata></record>
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subjects 59/57
631/378
692/699/476/1414
Behavioral Sciences
Biological Psychology
Brain - diagnostic imaging
Brain research
Consortia
Depression
Depressive Disorder, Major - diagnostic imaging
Humans
Information Dissemination
Information sharing
Medical imaging
Medicine
Medicine & Public Health
Neuroimaging
Neurosciences
Pharmacotherapy
Psychiatry
Review
Review Article
title ENIGMA MDD: seven years of global neuroimaging studies of major depression through worldwide data sharing
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