TY  - JOUR
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
TI  - Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group.
JO  - Human brain mapping
VL  - 43
IS  - 1
SN  - 1097-0193
CY  - New York, NY
PB  - Wiley-Liss
M1  - DZNE-2021-00243
SP  - 255-277
PY  - 2022
N1  - ISSN 1097-0193 not unique: **3 hits**.
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  - Anxiety Disorders: diagnostic imaging
KW  - Cerebral Cortex: diagnostic imaging
KW  - Data Interpretation, Statistical
KW  - Humans
KW  - Meta-Analysis as Topic
KW  - Multicenter Studies as Topic: methods
KW  - Multicenter Studies as Topic: standards
KW  - Neuroimaging: methods
KW  - Neuroimaging: standards
KW  - data sharing (Other)
KW  - generalized anxiety disorder (Other)
KW  - mega-analyses (Other)
KW  - meta-analyses (Other)
KW  - neuroimaging (Other)
LB  - PUB:(DE-HGF)16
C2  - pmc:PMC8675407
C6  - pmid:32596977
DO  - DOI:10.1002/hbm.25096
UR  - https://pub.dzne.de/record/154390
ER  -