Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group

André Zugman; Anita Harrewijn; Elise M Cardinale; Hannah Zwiebel; Gabrielle F Freitag; Katy E Werwath; Janna M Bas-Hoogendam; Nynke A Groenewold; Moji Aghajani; Kevin Hilbert; Narcis Cardoner; Daniel Porta-Casteràs; Savannah Gosnell; Ramiro Salas; Karina S Blair; James R Blair; Mira Z Hammoud; Mohammed Milad; Katie Burkhouse; K Luan Phan; Heidi K Schroeder; Jeffrey R Strawn; Katja Beesdo-Baum; Sophia I Thomopoulos; Hans J Grabe; Sandra Van der Auwera; Katharina Wittfeld; Jared A Nielsen; Randy Buckner; Jordan W Smoller; Benson Mwangi; Jair C Soares; Mon-Ju Wu; Giovana B Zunta-Soares; Andrea P Jackowski; Pedro M Pan; Giovanni A Salum; Michal Assaf; Gretchen J Diefenbach; Paolo Brambilla; Eleonora Maggioni; David Hofmann; Thomas Straube; Carmen Andreescu; Rachel Berta; Erica Tamburo; Rebecca Price; Gisele G Manfro; Hugo D Critchley; Elena Makovac

doi:10.1002/hbm.25096

Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group

André Zugman, Anita Harrewijn, Elise M Cardinale, Hannah Zwiebel, Gabrielle F Freitag, Katy E Werwath, Janna M Bas-Hoogendam, Nynke A Groenewold, Moji Aghajani, Kevin Hilbert, Narcis Cardoner, Daniel Porta-Casteràs, Savannah Gosnell, Ramiro Salas, Karina S Blair, James R Blair, Mira Z Hammoud, Mohammed Milad, Katie Burkhouse, K Luan PhanHeidi K Schroeder, Jeffrey R Strawn, Katja Beesdo-Baum, Sophia I Thomopoulos, Hans J Grabe, Sandra Van der Auwera, Katharina Wittfeld, Jared A Nielsen, Randy Buckner, Jordan W Smoller, Benson Mwangi, Jair C Soares, Mon-Ju Wu, Giovana B Zunta-Soares, Andrea P Jackowski, Pedro M Pan, Giovanni A Salum, Michal Assaf, Gretchen J Diefenbach, Paolo Brambilla, Eleonora Maggioni, David Hofmann, Thomas Straube, Carmen Andreescu, Rachel Berta, Erica Tamburo, Rebecca Price, Gisele G Manfro, Hugo D Critchley, Elena Makovac

Research output: Contribution to journal › Review article › Academic › peer-review

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
Journal	Human Brain Mapping
DOIs	https://doi.org/10.1002/hbm.25096
Publication status	Accepted/In press - 29 Jun 2020
Externally published	Yes

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Zugman, A., Harrewijn, A., Cardinale, E. M., Zwiebel, H., Freitag, G. F., Werwath, K. E., Bas-Hoogendam, J. M., Groenewold, N. A., Aghajani, M., Hilbert, K., Cardoner, N., Porta-Casteràs, D., Gosnell, S., Salas, R., Blair, K. S., Blair, J. R., Hammoud, M. Z., Milad, M., Burkhouse, K., ... Makovac, E. (Accepted/In press). Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group. Human Brain Mapping. https://doi.org/10.1002/hbm.25096

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title = "Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group",

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.",

author = "Andr{\'e} Zugman and Anita Harrewijn and Cardinale, {Elise M} and Hannah Zwiebel and Freitag, {Gabrielle F} and Werwath, {Katy E} and Bas-Hoogendam, {Janna M} and Groenewold, {Nynke A} and Moji Aghajani and Kevin Hilbert and Narcis Cardoner and Daniel Porta-Caster{\`a}s and Savannah Gosnell and Ramiro Salas and Blair, {Karina S} and Blair, {James R} and Hammoud, {Mira Z} and Mohammed Milad and Katie Burkhouse and Phan, {K Luan} and Schroeder, {Heidi K} and Strawn, {Jeffrey R} and Katja Beesdo-Baum and Thomopoulos, {Sophia I} and Grabe, {Hans J} and {Van der Auwera}, Sandra and Katharina Wittfeld and Nielsen, {Jared A} and Randy Buckner and Smoller, {Jordan W} and Benson Mwangi and Soares, {Jair C} and Mon-Ju Wu and Zunta-Soares, {Giovana B} and Jackowski, {Andrea P} and Pan, {Pedro M} and Salum, {Giovanni A} and Michal Assaf and Diefenbach, {Gretchen J} and Paolo Brambilla and Eleonora Maggioni and David Hofmann and Thomas Straube and Carmen Andreescu and Rachel Berta and Erica Tamburo and Rebecca Price and Manfro, {Gisele G} and Critchley, {Hugo D} and Elena Makovac",

note = "{\textcopyright} 2020 The Authors. Human Brain Mapping published by Wiley Periodicals LLC.",

year = "2020",

month = jun,

day = "29",

doi = "10.1002/hbm.25096",

language = "English",

journal = "Human Brain Mapping",

issn = "1065-9471",

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Zugman, A, Harrewijn, A, Cardinale, EM, Zwiebel, H, Freitag, GF, Werwath, KE, Bas-Hoogendam, JM, Groenewold, NA, Aghajani, M, Hilbert, K, Cardoner, N, Porta-Casteràs, D, Gosnell, S, Salas, R, Blair, KS, Blair, JR, Hammoud, MZ, Milad, M, Burkhouse, K, Phan, KL, Schroeder, HK, Strawn, JR, Beesdo-Baum, K, Thomopoulos, SI, Grabe, HJ, Van der Auwera, S, Wittfeld, K, Nielsen, JA, Buckner, R, Smoller, JW, Mwangi, B, Soares, JC, Wu, M-J, Zunta-Soares, GB, Jackowski, AP, Pan, PM, Salum, GA, Assaf, M, Diefenbach, GJ, Brambilla, P, Maggioni, E, Hofmann, D, Straube, T, Andreescu, C, Berta, R, Tamburo, E, Price, R, Manfro, GG, Critchley, HD & Makovac, E 2020, 'Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group', Human Brain Mapping. https://doi.org/10.1002/hbm.25096

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

PY - 2020/6/29

Y1 - 2020/6/29

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.

U2 - 10.1002/hbm.25096

DO - 10.1002/hbm.25096

M3 - Review article

C2 - 32596977

SN - 1065-9471

JO - Human Brain Mapping

JF - Human Brain Mapping

ER -

Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group

Abstract

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