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.

Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group / A. Zugman, A. Harrewijn, E.M. Cardinale, H. Zwiebel, G.F. Freitag, K.E. Werwath, J.M. Bas-Hoogendam, N.A. Groenewold, M. Aghajani, K. Hilbert, N. Cardoner, D. Porta-Casteras, S. Gosnell, R. Salas, K.S. Blair, J.R. Blair, M.Z. Hammoud, M. Milad, K. Burkhouse, K.L. Phan, H.K. Schroeder, J.R. Strawn, K. Beesdo-Baum, S.I. Thomopoulos, H.J. Grabe, S. Van der Auwera, K. Wittfeld, J.A. Nielsen, R. Buckner, J.W. Smoller, B. Mwangi, J.C. Soares, M.-. Wu, G.B. Zunta-Soares, A.P. Jackowski, P.M. Pan, G.A. Salum, M. Assaf, G.J. Diefenbach, P. Brambilla, E. Maggioni, D. Hofmann, T. Straube, C. Andreescu, R. Berta, E. Tamburo, R. Price, G.G. Manfro, H.D. Critchley, E. Makovac, M. Mancini, F. Meeten, C. Ottaviani, F. Agosta, E. Canu, C. Cividini, M. Filippi, M. Kostic, A. Munjiza, C.A. Filippi, E. Leibenluft, B.A.V. Alberton, N.L. Balderston, M. Ernst, C. Grillon, L.R. Mujica-Parodi, H. van Nieuwenhuizen, G.A. Fonzo, M.P. Paulus, M.B. Stein, R.E. Gur, R.C. Gur, A.N. Kaczkurkin, B. Larsen, T.D. Satterthwaite, J. Harper, M. Myers, M.T. Perino, Q. Yu, C.M. Sylvester, D.J. Veltman, U. Lueken, N.J.A. Van der Wee, D.J. Stein, N. Jahanshad, P.M. Thompson, D.S. Pine, A.M. Winkler. - In: HUMAN BRAIN MAPPING. - ISSN 1065-9471. - 43:1(2022 Jan), pp. 255-277. [Epub ahead of print] [10.1002/hbm.25096]

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

P. Brambilla;
2022

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.
English
data sharing; generalized anxiety disorder; mega-analyses; meta-analyses; neuroimaging
Settore MED/25 - Psichiatria
Review essay
Esperti anonimi
Pubblicazione scientifica
gen-2022
29-giu-2020
Wiley Blackwell Publishing
43
1
255
277
23
Epub ahead of print
Periodico con rilevanza internazionale
scopus
pubmed
crossref
wos
datacite
Aderisco
info:eu-repo/semantics/article
Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group / A. Zugman, A. Harrewijn, E.M. Cardinale, H. Zwiebel, G.F. Freitag, K.E. Werwath, J.M. Bas-Hoogendam, N.A. Groenewold, M. Aghajani, K. Hilbert, N. Cardoner, D. Porta-Casteras, S. Gosnell, R. Salas, K.S. Blair, J.R. Blair, M.Z. Hammoud, M. Milad, K. Burkhouse, K.L. Phan, H.K. Schroeder, J.R. Strawn, K. Beesdo-Baum, S.I. Thomopoulos, H.J. Grabe, S. Van der Auwera, K. Wittfeld, J.A. Nielsen, R. Buckner, J.W. Smoller, B. Mwangi, J.C. Soares, M.-. Wu, G.B. Zunta-Soares, A.P. Jackowski, P.M. Pan, G.A. Salum, M. Assaf, G.J. Diefenbach, P. Brambilla, E. Maggioni, D. Hofmann, T. Straube, C. Andreescu, R. Berta, E. Tamburo, R. Price, G.G. Manfro, H.D. Critchley, E. Makovac, M. Mancini, F. Meeten, C. Ottaviani, F. Agosta, E. Canu, C. Cividini, M. Filippi, M. Kostic, A. Munjiza, C.A. Filippi, E. Leibenluft, B.A.V. Alberton, N.L. Balderston, M. Ernst, C. Grillon, L.R. Mujica-Parodi, H. van Nieuwenhuizen, G.A. Fonzo, M.P. Paulus, M.B. Stein, R.E. Gur, R.C. Gur, A.N. Kaczkurkin, B. Larsen, T.D. Satterthwaite, J. Harper, M. Myers, M.T. Perino, Q. Yu, C.M. Sylvester, D.J. Veltman, U. Lueken, N.J.A. Van der Wee, D.J. Stein, N. Jahanshad, P.M. Thompson, D.S. Pine, A.M. Winkler. - In: HUMAN BRAIN MAPPING. - ISSN 1065-9471. - 43:1(2022 Jan), pp. 255-277. [Epub ahead of print] [10.1002/hbm.25096]
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A. Zugman, A. Harrewijn, E.M. Cardinale, H. Zwiebel, G.F. Freitag, K.E. Werwath, J.M. Bas-Hoogendam, N.A. Groenewold, M. Aghajani, K. Hilbert, N. Card...espandi
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/913148
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