Abstract
The ENIGMA group on Generalized Anxiety Disorder (ENIGMA-Anxiety/GAD) is part of a broader effort to investigate anxiety disorders using imaging and genetic data across multiple sites worldwide. The group is actively conducting a mega-analysis of a large number of brain structural scans. In this process, the group was confronted with many methodological challenges related to study planning and implementation, between-country transfer of subject-level data, quality control of a considerable amount of imaging data, and choices related to statistical methods and efficient use of resources. This report summarizes the background information and rationale for the various methodological decisions, as well as the approach taken to implement them. The goal is to document the approach and help guide other research groups working with large brain imaging data sets as they develop their own analytic pipelines for mega-analyses.
Original language | English |
---|---|
Pages (from-to) | 255-277 |
Number of pages | 23 |
Journal | Human Brain Mapping |
Volume | 43 |
Issue number | 1 |
DOIs | |
Publication status | Published - Jan 2022 |
Keywords
- data sharing
- generalized anxiety disorder
- mega-analyses
- meta-analyses
- neuroimaging
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In: Human Brain Mapping, Vol. 43, No. 1, 01.2022, p. 255-277.
Research output: Contribution to journal › Review article › peer-review
TY - JOUR
T1 - Mega-analysis methods in ENIGMA
T2 - The experience of the generalized anxiety disorder working group
AU - Zugman, André
AU - Harrewijn, Anita
AU - Cardinale, Elise M.
AU - Zwiebel, Hannah
AU - Freitag, Gabrielle F.
AU - Werwath, Katy E.
AU - Bas-Hoogendam, Janna M.
AU - Groenewold, Nynke A.
AU - Aghajani, Moji
AU - Hilbert, Kevin
AU - Cardoner, Narcis
AU - Porta-Casteràs, Daniel
AU - Gosnell, Savannah
AU - Salas, Ramiro
AU - Blair, Karina S.
AU - Blair, James R.
AU - Hammoud, Mira Z.
AU - Milad, Mohammed
AU - Burkhouse, Katie
AU - Phan, K. Luan
AU - Schroeder, Heidi K.
AU - Strawn, Jeffrey R.
AU - Beesdo-Baum, Katja
AU - Thomopoulos, Sophia I.
AU - Grabe, Hans J.
AU - Van der Auwera, Sandra
AU - Wittfeld, Katharina
AU - Nielsen, Jared A.
AU - Buckner, Randy
AU - Smoller, Jordan W.
AU - Mwangi, Benson
AU - Soares, Jair C.
AU - Wu, Mon Ju
AU - Zunta-Soares, Giovana B.
AU - Jackowski, Andrea P.
AU - Pan, Pedro M.
AU - Salum, Giovanni A.
AU - Assaf, Michal
AU - Diefenbach, Gretchen J.
AU - Brambilla, Paolo
AU - Maggioni, Eleonora
AU - Hofmann, David
AU - Straube, Thomas
AU - Andreescu, Carmen
AU - Berta, Rachel
AU - Tamburo, Erica
AU - Price, Rebecca
AU - Manfro, Gisele G.
AU - Critchley, Hugo D.
AU - Makovac, Elena
AU - Mancini, Matteo
AU - Meeten, Frances
AU - Ottaviani, Cristina
AU - Agosta, Federica
AU - Canu, Elisa
AU - Cividini, Camilla
AU - Filippi, Massimo
AU - Kostić, Milutin
AU - Munjiza, Ana
AU - Filippi, Courtney A.
AU - Leibenluft, Ellen
AU - Alberton, Bianca A.V.
AU - Balderston, Nicholas L.
AU - Ernst, Monique
AU - Grillon, Christian
AU - Mujica-Parodi, Lilianne R.
AU - van Nieuwenhuizen, Helena
AU - Fonzo, Gregory A.
AU - Paulus, Martin P.
AU - Stein, Murray B.
AU - Gur, Raquel E.
AU - Gur, Ruben C.
AU - Kaczkurkin, Antonia N.
AU - Larsen, Bart
AU - Satterthwaite, Theodore D.
AU - Harper, Jennifer
AU - Myers, Michael
AU - Perino, Michael T.
AU - Yu, Qiongru
AU - Sylvester, Chad M.
AU - Veltman, Dick J.
AU - Lueken, Ulrike
AU - Van der Wee, Nic J.A.
AU - Stein, Dan J.
AU - Jahanshad, Neda
AU - Thompson, Paul M.
AU - Pine, Daniel S.
AU - Winkler, Anderson M.
N1 - Funding Information: Fondazione Cariplo, Grant/Award Number: 2016‐0908; Hartford HealthCare Research Funding Initiative, Grant/Award Number: #129522; Federal Ministry of Education and Research, Grant/Award Numbers: 01ZZ0403, 01ZZ0103, 01ZZ9603, 01ER1703, 01ER1303; National Institutes of Health (NIH), Grant/Award Numbers: K23MH109983, T32MH100019, R01MH101486, U54‐EB020403, ZIA‐MH002782, ZIA‐MH002781 Funding information Funding Information: Paul M. Thompson received partial grant support from Biogen, Inc., (Boston, MA) for research unrelated to this manuscript. Anderson M. Winkler received in the past support from the Government of Brazil through the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq: 211534/2013–7). Straube was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Projects C07/C08, SFB‐TRR 58. Dan J. Stein has received research grants and/or honoraria from Lundbeck and Sun. Hans J. Grabe has received travel grants and speakers honoraria from Fresenius Medical Care, Neuraxpharm, Servier, and Janssen Cilag as well as research funding from Fresenius Medical Care. Funding Information: The authors thank all the many research sites worldwide who considered contributing data to the ENIGMA‐Anxiety/GAD project. André Zugman, Anita Harrewijn, Elise M. Cardinale, Hannah Zwiebel, Gabrielle F. Freitag, Daniel S. Pine, and Anderson M. Winkler are supported by NIH through ZIA‐MH002781 and ZIA‐MH002782. Paul M. Thompson is supported in part by NIH grant U54‐EB020403. Katy E. Werwath received support from the NIH Office of Intramural Training and Education (OITE). Nynke A. Groenewold was supported by a Claude Leon Postdoctoral Fellowship. Nick J. A. Van der Wee and Dan J. Stein are supported by the EU 7th Framework Marie Curie Actions International Staff Exchange Scheme grant “European and South African Research Network in Anxiety Disorders” (EUSARNAD). Dan J. Stein is supported by the SA Medical Research Council. Ulrike Lueken was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Projektnummer 44541416, TRR 58. Katja Beesdo‐Baum was supported by the Federal Ministry of Education and Research (BMBF, grants 01ER1303 & 01ER1703). SHIP (Study of Health in Pomerania) is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (grants no. 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs and the Social Ministry of the Federal State of Mecklenburg‐West Pomerania; MRI scans in SHIP have been supported by a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg‐West Pomerania. Jared A. Nielsen, Randy Buckner, and Jordan W. Smoller were supported by NIH grant R01MH101486. Gretchen Diefenbach and Michal Assaf received support from the Hartford HealthCare Research Funding Initiative grant (#129522). Eleonora Maggioni received support from Fondazione Cariplo, grant n° 2016‐0908. Michael Perino received support from NIH grant T32MH100019 (Developmental Neuroscience and Child Psychopathology). Chad M. Sylvester received support from NIH grant K23MH109983. Funding Information: The authors thank all the many research sites worldwide who considered contributing data to the ENIGMA-Anxiety/GAD project. André Zugman, Anita Harrewijn, Elise M. Cardinale, Hannah Zwiebel, Gabrielle F. Freitag, Daniel S. Pine, and Anderson M. Winkler are supported by NIH through ZIA-MH002781 and ZIA-MH002782. Paul M. Thompson is supported in part by NIH grant U54-EB020403. Katy E. Werwath received support from the NIH Office of Intramural Training and Education (OITE). Nynke A. Groenewold was supported by a Claude Leon Postdoctoral Fellowship. Nick J. A. Van der Wee and Dan J. Stein are supported by the EU 7th Framework Marie Curie Actions International Staff Exchange Scheme grant “European and South African Research Network in Anxiety Disorders” (EUSARNAD). Dan J. Stein is supported by the SA Medical Research Council. Ulrike Lueken was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation), Projektnummer 44541416, TRR 58. Katja Beesdo-Baum was supported by the Federal Ministry of Education and Research (BMBF, grants 01ER1303 & 01ER1703). SHIP (Study of Health in Pomerania) is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (grants no. 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs and the Social Ministry of the Federal State of Mecklenburg-West Pomerania; MRI scans in SHIP have been supported by a joint grant from Siemens Healthineers, Erlangen, Germany and the Federal State of Mecklenburg-West Pomerania. Jared A. Nielsen, Randy Buckner, and Jordan W. Smoller were supported by NIH grant R01MH101486. Gretchen Diefenbach and Michal Assaf received support from the Hartford HealthCare Research Funding Initiative grant (#129522). Eleonora Maggioni received support from Fondazione Cariplo, grant n° 2016-0908. Michael Perino received support from NIH grant T32MH100019 (Developmental Neuroscience and Child Psychopathology). Chad M. Sylvester received support from NIH grant K23MH109983. Publisher Copyright: © 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.
PY - 2022/1
Y1 - 2022/1
N2 - The ENIGMA group on Generalized Anxiety Disorder (ENIGMA-Anxiety/GAD) is part of a broader effort to investigate anxiety disorders using imaging and genetic data across multiple sites worldwide. The group is actively conducting a mega-analysis of a large number of brain structural scans. In this process, the group was confronted with many methodological challenges related to study planning and implementation, between-country transfer of subject-level data, quality control of a considerable amount of imaging data, and choices related to statistical methods and efficient use of resources. This report summarizes the background information and rationale for the various methodological decisions, as well as the approach taken to implement them. The goal is to document the approach and help guide other research groups working with large brain imaging data sets as they develop their own analytic pipelines for mega-analyses.
AB - The ENIGMA group on Generalized Anxiety Disorder (ENIGMA-Anxiety/GAD) is part of a broader effort to investigate anxiety disorders using imaging and genetic data across multiple sites worldwide. The group is actively conducting a mega-analysis of a large number of brain structural scans. In this process, the group was confronted with many methodological challenges related to study planning and implementation, between-country transfer of subject-level data, quality control of a considerable amount of imaging data, and choices related to statistical methods and efficient use of resources. This report summarizes the background information and rationale for the various methodological decisions, as well as the approach taken to implement them. The goal is to document the approach and help guide other research groups working with large brain imaging data sets as they develop their own analytic pipelines for mega-analyses.
KW - data sharing
KW - generalized anxiety disorder
KW - mega-analyses
KW - meta-analyses
KW - neuroimaging
UR - http://www.scopus.com/inward/record.url?scp=85083703055&partnerID=8YFLogxK
U2 - 10.1002/hbm.25096
DO - 10.1002/hbm.25096
M3 - Review article
C2 - 32596977
AN - SCOPUS:85083703055
SN - 1065-9471
VL - 43
SP - 255
EP - 277
JO - Human Brain Mapping
JF - Human Brain Mapping
IS - 1
ER -