What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from theENIGMABipolar Disorder Working Group

Publikationstyp:
Zeitschriftenaufsatz
Metadaten:
Autoren
  • Christopher RK Ching
  • Derrek P Hibar
  • Tiril P Gurholt
  • Abraham Nunes
  • Sophia I Thomopoulos
  • Christoph Abe
  • Ingrid Agartz
  • Rachel M Brouwer
  • Dara M Cannon
  • Sonja MC de Zwarte
  • Lisa T Eyler
  • Pauline Favre
  • Tomas Hajek
  • Unn K Haukvik
  • Josselin Houenou
  • Mikael Landen
  • Tristram A Lett
  • Colm McDonald
  • Leila Nabulsi
  • Yash Patel
  • Melissa E Pauling
  • Tomas Paus
  • Joaquim Radua
  • Marcio G Soeiro-de-Souza
  • Giulia Tronchin
  • Neeltje EM van Haren
  • Eduard Vieta
  • Henrik Walter
  • Ling-Li Zeng
  • Martin Alda
  • Jorge Almeida
  • Dag Alnaes
  • Silvia Alonso-Lana
  • Cara Altimus
  • Michael Bauer
  • Bernhard T Baune
  • Carrie E Bearden
  • Marcella Bellani
  • Francesco Benedetti
  • Michael Berk
  • Amy C Bilderbeck
  • Hilary P Blumberg
  • Erlend Boen
  • Irene Bollettini
  • Caterina del Mar Bonnin
  • Paolo Brambilla
  • Erick J Canales-Rodriguez
  • Xavier Caseras
  • Orwa Dandash
  • Udo Dannlowski
  • Giuseppe Delvecchio
  • Ana M Diaz-Zuluaga
  • Danai Dima
  • Edouard Duchesnay
  • Torbjorn Elvsashagen
  • Scott C Fears
  • Sophia Frangou
  • Janice M Fullerton
  • David C Glahn
  • Jose M Goikolea
  • Melissa J Green
  • Dominik Grotegerd
  • Oliver Gruber
  • Bartholomeus CM Haarman
  • Chantal Henry
  • Fleur M Howells
  • Victoria Ives-Deliperi
  • Andreas Jansen
  • Tilo TJ Kircher
  • Christian Knoechel
  • Bernd Kramer
  • Beny Lafer
  • Carlos Lopez-Jaramillo
  • Rodrigo Machado-Vieira
  • Bradley J MacIntosh
  • Elisa MT Melloni
  • Philip B Mitchell
  • Igor Nenadic
  • Fabiano Nery
  • Allison C Nugent
  • Viola Oertel
  • Roel A Ophoff
  • Miho Ota
  • Bronwyn J Overs
  • Daniel L Pham
  • Mary L Phillips
  • Julian A Pineda-Zapata
  • Sara Poletti
  • Mircea Polosan
  • Edith Pomarol-Clotet
  • Arnaud Pouchon
  • Yann Quide
  • Maria M Rive
  • Gloria Roberts
  • Henricus G Ruhe
  • Raymond Salvador
  • Salvador Sarro
  • Theodore D Satterthwaite
  • Aart H Schene
  • Kang Sim
  • Jair C Soares
  • Michael Staeblein
  • Dan J Stein
  • Christian K Tamnes
  • Georgios V Thomaidis
  • Cristian Vargas Upegui
  • Dick J Veltman
  • Michele Wessa
  • Lars T Westlye
  • Heather C Whalley
  • Daniel H Wolf
  • Mon-Ju Wu
  • Lakshmi N Yatham
  • Carlos A Zarate
  • Paul M Thompson
  • Ole A Andreassen
Autoren-URL
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000553220000001&DestLinkType=FullRecord&DestApp=WOS_CPL
DOI
10.1002/hbm.25098
eISSN
1097-0193
Externe Identifier
  • Clarivate Analytics Document Solution ID: XP3FD
  • PubMed Identifier: 32725849
ISSN
1065-9471
Ausgabe der Veröffentlichung
1
Zeitschrift
HUMAN BRAIN MAPPING
Schlüsselwörter
  • bipolar disorder
  • cortical surface area
  • cortical thickness
  • ENIGMA
  • mega-analysis
  • meta-analysis
  • MRI
  • neuroimaging
  • psychiatry
  • volume
Paginierung
56 - 82
Datum der Veröffentlichung
2022
Status
Published
Titel
What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from theENIGMABipolar Disorder Working Group
Sub types
  • Review
Ausgabe der Zeitschrift
43

Datenquelle: Web of Science (Lite)

Andere Metadatenquellen:
Abstract
<jats:title>Abstract</jats:title><jats:p>MRI‐derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta‐Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis‐driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large‐scale meta‐ and mega‐analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large‐scale, collaborative studies of mental illness.</jats:p>
Autoren
  • Christopher RK Ching
  • Derrek P Hibar
  • Tiril P Gurholt
  • Abraham Nunes
  • Sophia I Thomopoulos
  • Christoph Abé
  • Ingrid Agartz
  • Rachel M Brouwer
  • Dara M Cannon
  • Sonja MC de Zwarte
  • Lisa T Eyler
  • Pauline Favre
  • Tomas Hajek
  • Unn K Haukvik
  • Josselin Houenou
  • Mikael Landén
  • Tristram A Lett
  • Colm McDonald
  • Leila Nabulsi
  • Yash Patel
  • Melissa E Pauling
  • Tomas Paus
  • Joaquim Radua
  • Marcio G Soeiro‐de‐Souza
  • Giulia Tronchin
  • Neeltje EM van Haren
  • Eduard Vieta
  • Henrik Walter
  • Ling‐Li Zeng
  • Martin Alda
  • Jorge Almeida
  • Dag Alnæs
  • Silvia Alonso‐Lana
  • Cara Altimus
  • Michael Bauer
  • Bernhard T Baune
  • Carrie E Bearden
  • Marcella Bellani
  • Francesco Benedetti
  • Michael Berk
  • Amy C Bilderbeck
  • Hilary P Blumberg
  • Erlend Bøen
  • Irene Bollettini
  • Caterina del Mar Bonnin
  • Paolo Brambilla
  • Erick J Canales‐Rodríguez
  • Xavier Caseras
  • Orwa Dandash
  • Udo Dannlowski
  • Giuseppe Delvecchio
  • Ana M Díaz‐Zuluaga
  • Danai Dima
  • Édouard Duchesnay
  • Torbjørn Elvsåshagen
  • Scott C Fears
  • Sophia Frangou
  • Janice M Fullerton
  • David C Glahn
  • Jose M Goikolea
  • Melissa J Green
  • Dominik Grotegerd
  • Oliver Gruber
  • Bartholomeus CM Haarman
  • Chantal Henry
  • Fleur M Howells
  • Victoria Ives‐Deliperi
  • Andreas Jansen
  • Tilo TJ Kircher
  • Christian Knöchel
  • Bernd Kramer
  • Beny Lafer
  • Carlos López‐Jaramillo
  • Rodrigo Machado‐Vieira
  • Bradley J MacIntosh
  • Elisa MT Melloni
  • Philip B Mitchell
  • Igor Nenadic
  • Fabiano Nery
  • Allison C Nugent
  • Viola Oertel
  • Roel A Ophoff
  • Miho Ota
  • Bronwyn J Overs
  • Daniel L Pham
  • Mary L Phillips
  • Julian A Pineda‐Zapata
  • Sara Poletti
  • Mircea Polosan
  • Edith Pomarol‐Clotet
  • Arnaud Pouchon
  • Yann Quidé
  • Maria M Rive
  • Gloria Roberts
  • Henricus G Ruhe
  • Raymond Salvador
  • Salvador Sarró
  • Theodore D Satterthwaite
  • Aart H Schene
  • Kang Sim
  • Jair C Soares
  • Michael Stäblein
  • Dan J Stein
  • Christian K Tamnes
  • Georgios V Thomaidis
  • Cristian Vargas Upegui
  • Dick J Veltman
  • Michèle Wessa
  • Lars T Westlye
  • Heather C Whalley
  • Daniel H Wolf
  • Mon‐Ju Wu
  • Lakshmi N Yatham
  • Carlos A Zarate
  • Paul M Thompson
  • Ole A Andreassen
DOI
10.1002/hbm.25098
eISSN
1097-0193
ISSN
1065-9471
Ausgabe der Veröffentlichung
1
Zeitschrift
Human Brain Mapping
Sprache
en
Online publication date
2020
Paginierung
56 - 82
Datum der Veröffentlichung
2022
Status
Published
Herausgeber
Wiley
Herausgeber URL
http://dx.doi.org/10.1002/hbm.25098
Datum der Datenerfassung
2023
Titel
What we learn about bipolar disorder from large‐scale neuroimaging: Findings and future directions from the <scp>ENIGMA</scp> Bipolar Disorder Working Group
Ausgabe der Zeitschrift
43

Datenquelle: Crossref

Abstract
MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.
Addresses
  • Imaging Genetics Center, Mark and Mary Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Autoren
  • Christopher RK Ching
  • Derrek P Hibar
  • Tiril P Gurholt
  • Abraham Nunes
  • Sophia I Thomopoulos
  • Christoph Abé
  • Ingrid Agartz
  • Rachel M Brouwer
  • Dara M Cannon
  • Sonja MC de Zwarte
  • Lisa T Eyler
  • Pauline Favre
  • Tomas Hajek
  • Unn K Haukvik
  • Josselin Houenou
  • Mikael Landén
  • Tristram A Lett
  • Colm McDonald
  • Leila Nabulsi
  • Yash Patel
  • Melissa E Pauling
  • Tomas Paus
  • Joaquim Radua
  • Marcio G Soeiro-de-Souza
  • Giulia Tronchin
  • Neeltje EM van Haren
  • Eduard Vieta
  • Henrik Walter
  • Ling-Li Zeng
  • Martin Alda
  • Jorge Almeida
  • Dag Alnaes
  • Silvia Alonso-Lana
  • Cara Altimus
  • Michael Bauer
  • Bernhard T Baune
  • Carrie E Bearden
  • Marcella Bellani
  • Francesco Benedetti
  • Michael Berk
  • Amy C Bilderbeck
  • Hilary P Blumberg
  • Erlend Bøen
  • Irene Bollettini
  • Caterina Del Mar Bonnin
  • Paolo Brambilla
  • Erick J Canales-Rodríguez
  • Xavier Caseras
  • Orwa Dandash
  • Udo Dannlowski
  • Giuseppe Delvecchio
  • Ana M Díaz-Zuluaga
  • Danai Dima
  • Édouard Duchesnay
  • Torbjørn Elvsåshagen
  • Scott C Fears
  • Sophia Frangou
  • Janice M Fullerton
  • David C Glahn
  • Jose M Goikolea
  • Melissa J Green
  • Dominik Grotegerd
  • Oliver Gruber
  • Bartholomeus CM Haarman
  • Chantal Henry
  • Fleur M Howells
  • Victoria Ives-Deliperi
  • Andreas Jansen
  • Tilo TJ Kircher
  • Christian Knöchel
  • Bernd Kramer
  • Beny Lafer
  • Carlos López-Jaramillo
  • Rodrigo Machado-Vieira
  • Bradley J MacIntosh
  • Elisa MT Melloni
  • Philip B Mitchell
  • Igor Nenadic
  • Fabiano Nery
  • Allison C Nugent
  • Viola Oertel
  • Roel A Ophoff
  • Miho Ota
  • Bronwyn J Overs
  • Daniel L Pham
  • Mary L Phillips
  • Julian A Pineda-Zapata
  • Sara Poletti
  • Mircea Polosan
  • Edith Pomarol-Clotet
  • Arnaud Pouchon
  • Yann Quidé
  • Maria M Rive
  • Gloria Roberts
  • Henricus G Ruhe
  • Raymond Salvador
  • Salvador Sarró
  • Theodore D Satterthwaite
  • Aart H Schene
  • Kang Sim
  • Jair C Soares
  • Michael Stäblein
  • Dan J Stein
  • Christian K Tamnes
  • Georgios V Thomaidis
  • Cristian Vargas Upegui
  • Dick J Veltman
  • Michèle Wessa
  • Lars T Westlye
  • Heather C Whalley
  • Daniel H Wolf
  • Mon-Ju Wu
  • Lakshmi N Yatham
  • Carlos A Zarate
  • Paul M Thompson
  • Ole A Andreassen
  • ENIGMA Bipolar Disorder Working Group
DOI
10.1002/hbm.25098
eISSN
1097-0193
Externe Identifier
  • PubMed Identifier: 32725849
  • PubMed Central ID: PMC8675426
Funding acknowledgements
  • NIMH NIH HHS: R01 MH080912
  • NIMH NIH HHS: R01 MH085667
  • Wellcome Trust: 104036/Z/14/Z
  • NIMH NIH HHS: K23 MH074644
  • Medical Research Council: MR/S035818/1
  • NIMH NIH HHS: R01 MH060952
  • NIMH NIH HHS: R01 MH100041
  • NIMH NIH HHS: R01 MH101111
  • National Institute for Health Research (NIHR):
  • Dutch Research Council (NWO): 016.126.059
  • Medical Research Council: MC_PC_17209
  • NIA NIH HHS: R56 AG058854
  • NIMH NIH HHS: T32 MH073526
  • NCATS NIH HHS: UL1 TR001863
  • Wellcome Trust: 216767/Z/19/Z
  • NIMH NIH HHS: K23 MH085096
  • NIMH NIH HHS: R03 MH105808
  • NIMH NIH HHS: R37 MH100041
  • NIMH NIH HHS: R01 MH075007
  • NIMH NIH HHS: R01 MH116147
  • European Research Council: 802998
  • NIMH NIH HHS: K08 MH086786
  • NIMH NIH HHS: R01 MH083968
  • NIMH NIH HHS: R01 MH095454
  • NIMH NIH HHS: R01 MH106324
  • NIMH NIH HHS: K23 MH098130
  • NIMH NIH HHS: R01 MH076971
  • NIMH NIH HHS: R01 MH096957
  • NIMH NIH HHS: R21 MH113871
  • NIA NIH HHS: T32 AG058507
  • NIBIB NIH HHS: U54 EB020403
  • ZonMw: 100002034
  • Medical Research Council: MR/L010305/1
  • NIGMS NIH HHS: P20 GM121312
  • NIMH NIH HHS: R01 MH059929
  • NIMH NIH HHS: R01 MH090553
  • NIMH NIH HHS: R01 MH107703
  • Wellcome Trust:
Open access
true
ISSN
1065-9471
Ausgabe der Veröffentlichung
1
Zeitschrift
Human brain mapping
Schlüsselwörter
  • ENIGMA Bipolar Disorder Working Group
  • Cerebral Cortex
  • Humans
  • Magnetic Resonance Imaging
  • Bipolar Disorder
  • Meta-Analysis as Topic
  • Multicenter Studies as Topic
  • Neuroimaging
Sprache
eng
Medium
Print-Electronic
Online publication date
2020
Open access status
Open Access
Paginierung
56 - 82
Datum der Veröffentlichung
2022
Status
Published
Publisher licence
CC BY
Datum der Datenerfassung
2020
Titel
What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group.
Sub types
  • Research Support, N.I.H., Intramural
  • Research Support, Non-U.S. Gov't
  • review-article
  • Review
  • Journal Article
  • Research Support, N.I.H., Extramural
Ausgabe der Zeitschrift
43

Files

https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/hbm.25098 https://europepmc.org/articles/PMC8675426?pdf=render

Datenquelle: Europe PubMed Central

Abstract
MRI-derived brain measures offer a link between genes, the environment and behavior and have been widely studied in bipolar disorder (BD). However, many neuroimaging studies of BD have been underpowered, leading to varied results and uncertainty regarding effects. The Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Bipolar Disorder Working Group was formed in 2012 to empower discoveries, generate consensus findings and inform future hypothesis-driven studies of BD. Through this effort, over 150 researchers from 20 countries and 55 institutions pool data and resources to produce the largest neuroimaging studies of BD ever conducted. The ENIGMA Bipolar Disorder Working Group applies standardized processing and analysis techniques to empower large-scale meta- and mega-analyses of multimodal brain MRI and improve the replicability of studies relating brain variation to clinical and genetic data. Initial BD Working Group studies reveal widespread patterns of lower cortical thickness, subcortical volume and disrupted white matter integrity associated with BD. Findings also include mapping brain alterations of common medications like lithium, symptom patterns and clinical risk profiles and have provided further insights into the pathophysiological mechanisms of BD. Here we discuss key findings from the BD working group, its ongoing projects and future directions for large-scale, collaborative studies of mental illness.
Date of acceptance
2020
Autoren
  • Christopher RK Ching
  • Derrek P Hibar
  • Tiril P Gurholt
  • Abraham Nunes
  • Sophia I Thomopoulos
  • Christoph Abé
  • Ingrid Agartz
  • Rachel M Brouwer
  • Dara M Cannon
  • Sonja MC de Zwarte
  • Lisa T Eyler
  • Pauline Favre
  • Tomas Hajek
  • Unn K Haukvik
  • Josselin Houenou
  • Mikael Landén
  • Tristram A Lett
  • Colm McDonald
  • Leila Nabulsi
  • Yash Patel
  • Melissa E Pauling
  • Tomas Paus
  • Joaquim Radua
  • Marcio G Soeiro-de-Souza
  • Giulia Tronchin
  • Neeltje EM van Haren
  • Eduard Vieta
  • Henrik Walter
  • Ling-Li Zeng
  • Martin Alda
  • Jorge Almeida
  • Dag Alnaes
  • Silvia Alonso-Lana
  • Cara Altimus
  • Michael Bauer
  • Bernhard T Baune
  • Carrie E Bearden
  • Marcella Bellani
  • Francesco Benedetti
  • Michael Berk
  • Amy C Bilderbeck
  • Hilary P Blumberg
  • Erlend Bøen
  • Irene Bollettini
  • Caterina Del Mar Bonnin
  • Paolo Brambilla
  • Erick J Canales-Rodríguez
  • Xavier Caseras
  • Orwa Dandash
  • Udo Dannlowski
  • Giuseppe Delvecchio
  • Ana M Díaz-Zuluaga
  • Danai Dima
  • Édouard Duchesnay
  • Torbjørn Elvsåshagen
  • Scott C Fears
  • Sophia Frangou
  • Janice M Fullerton
  • David C Glahn
  • Jose M Goikolea
  • Melissa J Green
  • Dominik Grotegerd
  • Oliver Gruber
  • Bartholomeus CM Haarman
  • Chantal Henry
  • Fleur M Howells
  • Victoria Ives-Deliperi
  • Andreas Jansen
  • Tilo TJ Kircher
  • Christian Knöchel
  • Bernd Kramer
  • Beny Lafer
  • Carlos López-Jaramillo
  • Rodrigo Machado-Vieira
  • Bradley J MacIntosh
  • Elisa MT Melloni
  • Philip B Mitchell
  • Igor Nenadic
  • Fabiano Nery
  • Allison C Nugent
  • Viola Oertel
  • Roel A Ophoff
  • Miho Ota
  • Bronwyn J Overs
  • Daniel L Pham
  • Mary L Phillips
  • Julian A Pineda-Zapata
  • Sara Poletti
  • Mircea Polosan
  • Edith Pomarol-Clotet
  • Arnaud Pouchon
  • Yann Quidé
  • Maria M Rive
  • Gloria Roberts
  • Henricus G Ruhe
  • Raymond Salvador
  • Salvador Sarró
  • Theodore D Satterthwaite
  • Aart H Schene
  • Kang Sim
  • Jair C Soares
  • Michael Stäblein
  • Dan J Stein
  • Christian K Tamnes
  • Georgios V Thomaidis
  • Cristian Vargas Upegui
  • Dick J Veltman
  • Michèle Wessa
  • Lars T Westlye
  • Heather C Whalley
  • Daniel H Wolf
  • Mon-Ju Wu
  • Lakshmi N Yatham
  • Carlos A Zarate
  • Paul M Thompson
  • Ole A Andreassen
  • ENIGMA Bipolar Disorder Working Group
Autoren-URL
https://www.ncbi.nlm.nih.gov/pubmed/32725849
DOI
10.1002/hbm.25098
eISSN
1097-0193
Externe Identifier
  • PubMed Central ID: PMC8675426
Funding acknowledgements
  • NIMH NIH HHS: T32 MH073526
  • NCATS NIH HHS: UL1 TR001863
  • NIA NIH HHS: T32 AG058507
  • NIBIB NIH HHS: U54 EB020403
  • NIMH NIH HHS: R21 MH113871
  • NIMH NIH HHS: R37 MH100041
  • NIMH NIH HHS: K23 MH085096
  • Medical Research Council: MC_PC_17209
  • NIMH NIH HHS: R01 MH080912
  • NIMH NIH HHS: K23 MH074644
  • NIMH NIH HHS: R01 MH100041
  • NIGMS NIH HHS: P20 GM121312
  • NIMH NIH HHS: R01 MH096957
  • Wellcome Trust: 104036/Z/14/Z
  • NIMH NIH HHS: R01 MH060952
  • NIMH NIH HHS: R01 MH083968
  • NIMH NIH HHS: K23 MH098130
  • NIMH NIH HHS: R01 MH059929
  • Medical Research Council: MR/L010305/1
  • NIMH NIH HHS: R01 MH095454
  • Department of Health:
  • NIMH NIH HHS: K08 MH086786
  • Medical Research Council: MR/S035818/1
  • NIMH NIH HHS: R01 MH116147
  • NIMH NIH HHS: R01 MH101111
  • NIMH NIH HHS: R01 MH106324
  • NIA NIH HHS: R56 AG058854
  • NIMH NIH HHS: R01 MH075007
  • Wellcome Trust:
  • Wellcome Trust: 216767/Z/19/Z
  • NIMH NIH HHS: R03 MH105808
  • NIMH NIH HHS: R01 MH107703
  • NIMH NIH HHS: R01 MH085667
  • NIMH NIH HHS: R01 MH090553
  • NIMH NIH HHS: R01 MH076971
Ausgabe der Veröffentlichung
1
Zeitschrift
Hum Brain Mapp
Schlüsselwörter
  • ENIGMA
  • MRI
  • bipolar disorder
  • cortical surface area
  • cortical thickness
  • mega-analysis
  • meta-analysis
  • neuroimaging
  • psychiatry
  • volume
  • Bipolar Disorder
  • Cerebral Cortex
  • Humans
  • Magnetic Resonance Imaging
  • Meta-Analysis as Topic
  • Multicenter Studies as Topic
  • Neuroimaging
Sprache
eng
Country
United States
Paginierung
56 - 82
Datum der Veröffentlichung
2022
Status
Published
Datum, an dem der Datensatz öffentlich gemacht wurde
2022
Titel
What we learn about bipolar disorder from large-scale neuroimaging: Findings and future directions from the ENIGMA Bipolar Disorder Working Group.
Sub types
  • Journal Article
  • Research Support, N.I.H., Extramural
  • Research Support, N.I.H., Intramural
  • Research Support, Non-U.S. Gov't
  • Review
Ausgabe der Zeitschrift
43

Datenquelle: PubMed

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