Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action

Bipolar disorder (BD) is a major healthcare and socio-economic challenge. Despite its substantial burden on society, the research activity in BD is much smaller than its economic impact appears to demand. There is a consensus that the accurate identification of the underlying pathophysiology for BD...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European neuropsychopharmacology 2020-07, Vol.36, p.121-136
Hauptverfasser: Manchia, Mirko, Vieta, Eduard, Smeland, Olav B., Altimus, Cara, Bechdolf, Andreas, Bellivier, Frank, Bergink, Veerle, Fagiolini, Andrea, Geddes, John R., Hajek, Tomas, Henry, Chantal, Kupka, Ralph, Lagerberg, Trine V., Licht, Rasmus W., Martinez-Cengotitabengoa, Monica, Morken, Gunnar, Nielsen, René E., Pinto, Ana Gonzalez, Reif, Andreas, Rietschel, Marcella, Ritter, Phillip, Schulze, Thomas G., Scott, Jan, Severus, Emanuel, Yildiz, Aysegul, Kessing, Lars Vedel, Bauer, Michael, Goodwin, Guy M., Andreassen, Ole A.
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 136
container_issue
container_start_page 121
container_title European neuropsychopharmacology
container_volume 36
creator Manchia, Mirko
Vieta, Eduard
Smeland, Olav B.
Altimus, Cara
Bechdolf, Andreas
Bellivier, Frank
Bergink, Veerle
Fagiolini, Andrea
Geddes, John R.
Hajek, Tomas
Henry, Chantal
Kupka, Ralph
Lagerberg, Trine V.
Licht, Rasmus W.
Martinez-Cengotitabengoa, Monica
Morken, Gunnar
Nielsen, René E.
Pinto, Ana Gonzalez
Reif, Andreas
Rietschel, Marcella
Ritter, Phillip
Schulze, Thomas G.
Scott, Jan
Severus, Emanuel
Yildiz, Aysegul
Kessing, Lars Vedel
Bauer, Michael
Goodwin, Guy M.
Andreassen, Ole A.
description Bipolar disorder (BD) is a major healthcare and socio-economic challenge. Despite its substantial burden on society, the research activity in BD is much smaller than its economic impact appears to demand. There is a consensus that the accurate identification of the underlying pathophysiology for BD is fundamental to realize major health benefits through better treatment and preventive regimens. However, to achieve these goals requires coordinated action and innovative approaches to boost the discovery of the neurobiological underpinnings of BD, and rapid translation of research findings into development and testing of better and more specific treatments. To this end, we here propose that only a large-scale coordinated action can be successful in integrating international big-data approaches with real-world clinical interventions. This could be achieved through the creation of a Global Bipolar Disorder Foundation, which could bring government, industry and philanthropy together in common cause. A global initiative for BD research would come at a highly opportune time given the seminal advances promised for our understanding of the genetic and brain basis of the disease and the obvious areas of unmet clinical need. Such an endeavour would embrace the principles of open science and see the strong involvement of user groups and integration of dissemination and public involvement with the research programs. We believe the time is right for a step change in our approach to understanding, treating and even preventing BD effectively.
doi_str_mv 10.1016/j.euroneuro.2020.05.006
format Article
fullrecord <record><control><sourceid>proquest_crist</sourceid><recordid>TN_cdi_cristin_nora_10852_85469</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0924977X20301802</els_id><sourcerecordid>2413998362</sourcerecordid><originalsourceid>FETCH-LOGICAL-c444t-15cd4f61b1307618a8cfebf66dd7b5d285823680c6f0e994e1e3e8bb66a3c0683</originalsourceid><addsrcrecordid>eNqFkU9vFSEUxYnR2NfqV7As3czIn4Fhlk1j1aRJNzVxR-7AnYaXGXgCz8RvLy-v7dYNLM7vnAv3EHLNWc8Z11_2PR5ziqejF0ywnqmeMf2G7LgZZTcaLd6SHZvE0E3j-OuCXJayZ4wrKaf35EIKJbUa-Y7AY4ZYVqghPtE5PFEPFWhNdMZaMdOaEeqGsdIQm35IK2TqQ0nZN7WjQDeIYcHSLEvK1KWmhAgVPQVXQ4ofyLsF1oIfn-8r8vPu6-Pt9-7-4duP25v7zg3DUDuunB8WzWcu2ai5AeMWnBetvR9n5YVRRkhtmNMLw2kakKNEM89ag3RMG3lFrs-5LofSvmNjymA5M0pYowY9NeLzmTjk9PvYnmy3UByuK0RMx2LFwOU0GalFQ8eXsFRKxsUectgg_22B9tSA3dvXBuypAcuUbQ0056fnIcd5Q__qe1l5A27OALZl_AmYbXEBo0MfMrpqfQr_HfIPdAibnA</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2413998362</pqid></control><display><type>article</type><title>Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action</title><source>NORA - Norwegian Open Research Archives</source><source>Elsevier ScienceDirect Journals Complete</source><creator>Manchia, Mirko ; Vieta, Eduard ; Smeland, Olav B. ; Altimus, Cara ; Bechdolf, Andreas ; Bellivier, Frank ; Bergink, Veerle ; Fagiolini, Andrea ; Geddes, John R. ; Hajek, Tomas ; Henry, Chantal ; Kupka, Ralph ; Lagerberg, Trine V. ; Licht, Rasmus W. ; Martinez-Cengotitabengoa, Monica ; Morken, Gunnar ; Nielsen, René E. ; Pinto, Ana Gonzalez ; Reif, Andreas ; Rietschel, Marcella ; Ritter, Phillip ; Schulze, Thomas G. ; Scott, Jan ; Severus, Emanuel ; Yildiz, Aysegul ; Kessing, Lars Vedel ; Bauer, Michael ; Goodwin, Guy M. ; Andreassen, Ole A.</creator><creatorcontrib>Manchia, Mirko ; Vieta, Eduard ; Smeland, Olav B. ; Altimus, Cara ; Bechdolf, Andreas ; Bellivier, Frank ; Bergink, Veerle ; Fagiolini, Andrea ; Geddes, John R. ; Hajek, Tomas ; Henry, Chantal ; Kupka, Ralph ; Lagerberg, Trine V. ; Licht, Rasmus W. ; Martinez-Cengotitabengoa, Monica ; Morken, Gunnar ; Nielsen, René E. ; Pinto, Ana Gonzalez ; Reif, Andreas ; Rietschel, Marcella ; Ritter, Phillip ; Schulze, Thomas G. ; Scott, Jan ; Severus, Emanuel ; Yildiz, Aysegul ; Kessing, Lars Vedel ; Bauer, Michael ; Goodwin, Guy M. ; Andreassen, Ole A. ; for the European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network ; European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network</creatorcontrib><description>Bipolar disorder (BD) is a major healthcare and socio-economic challenge. Despite its substantial burden on society, the research activity in BD is much smaller than its economic impact appears to demand. There is a consensus that the accurate identification of the underlying pathophysiology for BD is fundamental to realize major health benefits through better treatment and preventive regimens. However, to achieve these goals requires coordinated action and innovative approaches to boost the discovery of the neurobiological underpinnings of BD, and rapid translation of research findings into development and testing of better and more specific treatments. To this end, we here propose that only a large-scale coordinated action can be successful in integrating international big-data approaches with real-world clinical interventions. This could be achieved through the creation of a Global Bipolar Disorder Foundation, which could bring government, industry and philanthropy together in common cause. A global initiative for BD research would come at a highly opportune time given the seminal advances promised for our understanding of the genetic and brain basis of the disease and the obvious areas of unmet clinical need. Such an endeavour would embrace the principles of open science and see the strong involvement of user groups and integration of dissemination and public involvement with the research programs. We believe the time is right for a step change in our approach to understanding, treating and even preventing BD effectively.</description><identifier>ISSN: 0924-977X</identifier><identifier>EISSN: 1873-7862</identifier><identifier>DOI: 10.1016/j.euroneuro.2020.05.006</identifier><identifier>PMID: 32536571</identifier><language>eng</language><publisher>Netherlands: Elsevier B.V</publisher><subject>Machine learning ; Open science ; Philanthropy ; Precision medicine ; Risk prediction</subject><ispartof>European neuropsychopharmacology, 2020-07, Vol.36, p.121-136</ispartof><rights>2020</rights><rights>Copyright © 2020. Published by Elsevier B.V.</rights><rights>info:eu-repo/semantics/openAccess</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c444t-15cd4f61b1307618a8cfebf66dd7b5d285823680c6f0e994e1e3e8bb66a3c0683</citedby><cites>FETCH-LOGICAL-c444t-15cd4f61b1307618a8cfebf66dd7b5d285823680c6f0e994e1e3e8bb66a3c0683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.euroneuro.2020.05.006$$EHTML$$P50$$Gelsevier$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,885,3550,26567,27924,27925,45995</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32536571$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Manchia, Mirko</creatorcontrib><creatorcontrib>Vieta, Eduard</creatorcontrib><creatorcontrib>Smeland, Olav B.</creatorcontrib><creatorcontrib>Altimus, Cara</creatorcontrib><creatorcontrib>Bechdolf, Andreas</creatorcontrib><creatorcontrib>Bellivier, Frank</creatorcontrib><creatorcontrib>Bergink, Veerle</creatorcontrib><creatorcontrib>Fagiolini, Andrea</creatorcontrib><creatorcontrib>Geddes, John R.</creatorcontrib><creatorcontrib>Hajek, Tomas</creatorcontrib><creatorcontrib>Henry, Chantal</creatorcontrib><creatorcontrib>Kupka, Ralph</creatorcontrib><creatorcontrib>Lagerberg, Trine V.</creatorcontrib><creatorcontrib>Licht, Rasmus W.</creatorcontrib><creatorcontrib>Martinez-Cengotitabengoa, Monica</creatorcontrib><creatorcontrib>Morken, Gunnar</creatorcontrib><creatorcontrib>Nielsen, René E.</creatorcontrib><creatorcontrib>Pinto, Ana Gonzalez</creatorcontrib><creatorcontrib>Reif, Andreas</creatorcontrib><creatorcontrib>Rietschel, Marcella</creatorcontrib><creatorcontrib>Ritter, Phillip</creatorcontrib><creatorcontrib>Schulze, Thomas G.</creatorcontrib><creatorcontrib>Scott, Jan</creatorcontrib><creatorcontrib>Severus, Emanuel</creatorcontrib><creatorcontrib>Yildiz, Aysegul</creatorcontrib><creatorcontrib>Kessing, Lars Vedel</creatorcontrib><creatorcontrib>Bauer, Michael</creatorcontrib><creatorcontrib>Goodwin, Guy M.</creatorcontrib><creatorcontrib>Andreassen, Ole A.</creatorcontrib><creatorcontrib>for the European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network</creatorcontrib><creatorcontrib>European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network</creatorcontrib><title>Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action</title><title>European neuropsychopharmacology</title><addtitle>Eur Neuropsychopharmacol</addtitle><description>Bipolar disorder (BD) is a major healthcare and socio-economic challenge. Despite its substantial burden on society, the research activity in BD is much smaller than its economic impact appears to demand. There is a consensus that the accurate identification of the underlying pathophysiology for BD is fundamental to realize major health benefits through better treatment and preventive regimens. However, to achieve these goals requires coordinated action and innovative approaches to boost the discovery of the neurobiological underpinnings of BD, and rapid translation of research findings into development and testing of better and more specific treatments. To this end, we here propose that only a large-scale coordinated action can be successful in integrating international big-data approaches with real-world clinical interventions. This could be achieved through the creation of a Global Bipolar Disorder Foundation, which could bring government, industry and philanthropy together in common cause. A global initiative for BD research would come at a highly opportune time given the seminal advances promised for our understanding of the genetic and brain basis of the disease and the obvious areas of unmet clinical need. Such an endeavour would embrace the principles of open science and see the strong involvement of user groups and integration of dissemination and public involvement with the research programs. We believe the time is right for a step change in our approach to understanding, treating and even preventing BD effectively.</description><subject>Machine learning</subject><subject>Open science</subject><subject>Philanthropy</subject><subject>Precision medicine</subject><subject>Risk prediction</subject><issn>0924-977X</issn><issn>1873-7862</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>3HK</sourceid><recordid>eNqFkU9vFSEUxYnR2NfqV7As3czIn4Fhlk1j1aRJNzVxR-7AnYaXGXgCz8RvLy-v7dYNLM7vnAv3EHLNWc8Z11_2PR5ziqejF0ywnqmeMf2G7LgZZTcaLd6SHZvE0E3j-OuCXJayZ4wrKaf35EIKJbUa-Y7AY4ZYVqghPtE5PFEPFWhNdMZaMdOaEeqGsdIQm35IK2TqQ0nZN7WjQDeIYcHSLEvK1KWmhAgVPQVXQ4ofyLsF1oIfn-8r8vPu6-Pt9-7-4duP25v7zg3DUDuunB8WzWcu2ai5AeMWnBetvR9n5YVRRkhtmNMLw2kakKNEM89ag3RMG3lFrs-5LofSvmNjymA5M0pYowY9NeLzmTjk9PvYnmy3UByuK0RMx2LFwOU0GalFQ8eXsFRKxsUectgg_22B9tSA3dvXBuypAcuUbQ0056fnIcd5Q__qe1l5A27OALZl_AmYbXEBo0MfMrpqfQr_HfIPdAibnA</recordid><startdate>20200701</startdate><enddate>20200701</enddate><creator>Manchia, Mirko</creator><creator>Vieta, Eduard</creator><creator>Smeland, Olav B.</creator><creator>Altimus, Cara</creator><creator>Bechdolf, Andreas</creator><creator>Bellivier, Frank</creator><creator>Bergink, Veerle</creator><creator>Fagiolini, Andrea</creator><creator>Geddes, John R.</creator><creator>Hajek, Tomas</creator><creator>Henry, Chantal</creator><creator>Kupka, Ralph</creator><creator>Lagerberg, Trine V.</creator><creator>Licht, Rasmus W.</creator><creator>Martinez-Cengotitabengoa, Monica</creator><creator>Morken, Gunnar</creator><creator>Nielsen, René E.</creator><creator>Pinto, Ana Gonzalez</creator><creator>Reif, Andreas</creator><creator>Rietschel, Marcella</creator><creator>Ritter, Phillip</creator><creator>Schulze, Thomas G.</creator><creator>Scott, Jan</creator><creator>Severus, Emanuel</creator><creator>Yildiz, Aysegul</creator><creator>Kessing, Lars Vedel</creator><creator>Bauer, Michael</creator><creator>Goodwin, Guy M.</creator><creator>Andreassen, Ole A.</creator><general>Elsevier B.V</general><scope>6I.</scope><scope>AAFTH</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><scope>3HK</scope></search><sort><creationdate>20200701</creationdate><title>Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action</title><author>Manchia, Mirko ; Vieta, Eduard ; Smeland, Olav B. ; Altimus, Cara ; Bechdolf, Andreas ; Bellivier, Frank ; Bergink, Veerle ; Fagiolini, Andrea ; Geddes, John R. ; Hajek, Tomas ; Henry, Chantal ; Kupka, Ralph ; Lagerberg, Trine V. ; Licht, Rasmus W. ; Martinez-Cengotitabengoa, Monica ; Morken, Gunnar ; Nielsen, René E. ; Pinto, Ana Gonzalez ; Reif, Andreas ; Rietschel, Marcella ; Ritter, Phillip ; Schulze, Thomas G. ; Scott, Jan ; Severus, Emanuel ; Yildiz, Aysegul ; Kessing, Lars Vedel ; Bauer, Michael ; Goodwin, Guy M. ; Andreassen, Ole A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c444t-15cd4f61b1307618a8cfebf66dd7b5d285823680c6f0e994e1e3e8bb66a3c0683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Machine learning</topic><topic>Open science</topic><topic>Philanthropy</topic><topic>Precision medicine</topic><topic>Risk prediction</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Manchia, Mirko</creatorcontrib><creatorcontrib>Vieta, Eduard</creatorcontrib><creatorcontrib>Smeland, Olav B.</creatorcontrib><creatorcontrib>Altimus, Cara</creatorcontrib><creatorcontrib>Bechdolf, Andreas</creatorcontrib><creatorcontrib>Bellivier, Frank</creatorcontrib><creatorcontrib>Bergink, Veerle</creatorcontrib><creatorcontrib>Fagiolini, Andrea</creatorcontrib><creatorcontrib>Geddes, John R.</creatorcontrib><creatorcontrib>Hajek, Tomas</creatorcontrib><creatorcontrib>Henry, Chantal</creatorcontrib><creatorcontrib>Kupka, Ralph</creatorcontrib><creatorcontrib>Lagerberg, Trine V.</creatorcontrib><creatorcontrib>Licht, Rasmus W.</creatorcontrib><creatorcontrib>Martinez-Cengotitabengoa, Monica</creatorcontrib><creatorcontrib>Morken, Gunnar</creatorcontrib><creatorcontrib>Nielsen, René E.</creatorcontrib><creatorcontrib>Pinto, Ana Gonzalez</creatorcontrib><creatorcontrib>Reif, Andreas</creatorcontrib><creatorcontrib>Rietschel, Marcella</creatorcontrib><creatorcontrib>Ritter, Phillip</creatorcontrib><creatorcontrib>Schulze, Thomas G.</creatorcontrib><creatorcontrib>Scott, Jan</creatorcontrib><creatorcontrib>Severus, Emanuel</creatorcontrib><creatorcontrib>Yildiz, Aysegul</creatorcontrib><creatorcontrib>Kessing, Lars Vedel</creatorcontrib><creatorcontrib>Bauer, Michael</creatorcontrib><creatorcontrib>Goodwin, Guy M.</creatorcontrib><creatorcontrib>Andreassen, Ole A.</creatorcontrib><creatorcontrib>for the European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network</creatorcontrib><creatorcontrib>European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>NORA - Norwegian Open Research Archives</collection><jtitle>European neuropsychopharmacology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Manchia, Mirko</au><au>Vieta, Eduard</au><au>Smeland, Olav B.</au><au>Altimus, Cara</au><au>Bechdolf, Andreas</au><au>Bellivier, Frank</au><au>Bergink, Veerle</au><au>Fagiolini, Andrea</au><au>Geddes, John R.</au><au>Hajek, Tomas</au><au>Henry, Chantal</au><au>Kupka, Ralph</au><au>Lagerberg, Trine V.</au><au>Licht, Rasmus W.</au><au>Martinez-Cengotitabengoa, Monica</au><au>Morken, Gunnar</au><au>Nielsen, René E.</au><au>Pinto, Ana Gonzalez</au><au>Reif, Andreas</au><au>Rietschel, Marcella</au><au>Ritter, Phillip</au><au>Schulze, Thomas G.</au><au>Scott, Jan</au><au>Severus, Emanuel</au><au>Yildiz, Aysegul</au><au>Kessing, Lars Vedel</au><au>Bauer, Michael</au><au>Goodwin, Guy M.</au><au>Andreassen, Ole A.</au><aucorp>for the European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network</aucorp><aucorp>European College of Neuropsychopharmacology (ECNP) Bipolar Disorders Network</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action</atitle><jtitle>European neuropsychopharmacology</jtitle><addtitle>Eur Neuropsychopharmacol</addtitle><date>2020-07-01</date><risdate>2020</risdate><volume>36</volume><spage>121</spage><epage>136</epage><pages>121-136</pages><issn>0924-977X</issn><eissn>1873-7862</eissn><abstract>Bipolar disorder (BD) is a major healthcare and socio-economic challenge. Despite its substantial burden on society, the research activity in BD is much smaller than its economic impact appears to demand. There is a consensus that the accurate identification of the underlying pathophysiology for BD is fundamental to realize major health benefits through better treatment and preventive regimens. However, to achieve these goals requires coordinated action and innovative approaches to boost the discovery of the neurobiological underpinnings of BD, and rapid translation of research findings into development and testing of better and more specific treatments. To this end, we here propose that only a large-scale coordinated action can be successful in integrating international big-data approaches with real-world clinical interventions. This could be achieved through the creation of a Global Bipolar Disorder Foundation, which could bring government, industry and philanthropy together in common cause. A global initiative for BD research would come at a highly opportune time given the seminal advances promised for our understanding of the genetic and brain basis of the disease and the obvious areas of unmet clinical need. Such an endeavour would embrace the principles of open science and see the strong involvement of user groups and integration of dissemination and public involvement with the research programs. We believe the time is right for a step change in our approach to understanding, treating and even preventing BD effectively.</abstract><cop>Netherlands</cop><pub>Elsevier B.V</pub><pmid>32536571</pmid><doi>10.1016/j.euroneuro.2020.05.006</doi><tpages>16</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0924-977X
ispartof European neuropsychopharmacology, 2020-07, Vol.36, p.121-136
issn 0924-977X
1873-7862
language eng
recordid cdi_cristin_nora_10852_85469
source NORA - Norwegian Open Research Archives; Elsevier ScienceDirect Journals Complete
subjects Machine learning
Open science
Philanthropy
Precision medicine
Risk prediction
title Translating big data to better treatment in bipolar disorder - a manifesto for coordinated action
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-01T14%3A58%3A34IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_crist&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Translating%20big%20data%20to%20better%20treatment%20in%20bipolar%20disorder%20-%20a%20manifesto%20for%20coordinated%20action&rft.jtitle=European%20neuropsychopharmacology&rft.au=Manchia,%20Mirko&rft.aucorp=for%20the%20European%20College%20of%20Neuropsychopharmacology%20(ECNP)%20Bipolar%20Disorders%20Network&rft.date=2020-07-01&rft.volume=36&rft.spage=121&rft.epage=136&rft.pages=121-136&rft.issn=0924-977X&rft.eissn=1873-7862&rft_id=info:doi/10.1016/j.euroneuro.2020.05.006&rft_dat=%3Cproquest_crist%3E2413998362%3C/proquest_crist%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2413998362&rft_id=info:pmid/32536571&rft_els_id=S0924977X20301802&rfr_iscdi=true