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 |
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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. We also highlight the challenges and benefits of large-scale data sharing for mental health research.</description><identifier>ISSN: 2158-3188</identifier><identifier>EISSN: 2158-3188</identifier><identifier>DOI: 10.1038/s41398-020-0842-6</identifier><identifier>PMID: 32472038</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>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</subject><ispartof>Translational psychiatry, 2020-05, Vol.10 (1), p.172, Article 172</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020. 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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 & 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 & 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 & 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 & Medical Complete (Alumni)</collection><collection>Health & 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> |
fulltext | fulltext |
identifier | ISSN: 2158-3188 |
ispartof | Translational psychiatry, 2020-05, Vol.10 (1), p.172, Article 172 |
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language | eng |
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source | MEDLINE; NORA - Norwegian Open Research Archives; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Springer Nature OA Free Journals; Nature Free; PubMed Central |
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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