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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, Matteo Mancini, Frances Meeten, Cristina Ottaviani, Federica Agosta, Elisa Canu, Camilla Cividini, Massimo Filippi, Milutin Kostić, Ana Munjiza, Courtney A. Filippi, Ellen Leibenluft, Bianca A.V. Alberton, Nicholas L. Balderston, Monique Ernst, Christian Grillon, Lilianne R. Mujica-Parodi, Helena van Nieuwenhuizen, Gregory A. Fonzo, Martin P. Paulus, Murray B. Stein, Raquel E. Gur, Ruben C. Gur, Antonia N. Kaczkurkin, Bart Larsen, Theodore D. Satterthwaite, Jennifer Harper, Michael Myers, Michael T. Perino, Qiongru Yu, Chad M. Sylvester, Dick J. Veltman, Ulrike Lueken, Nic J.A. Van der Wee, Dan J. Stein, Neda Jahanshad, Paul M. Thompson, Daniel S. Pine, Anderson M. Winkler
  • National Institutes of Health
  • Leiden University
  • University of Cape Town
  • VU University Medical Center
  • Humboldt University of Berlin
  • CIBER Enfermedades Respiratorias
  • Autonomous University of Barcelona
  • Centro de Investigación Biomédica En Red de Salud Mental
  • Baylor College of Medicine
  • Boys Town National Research Hospital
  • New York University
  • University of Illinois at Chicago
  • Ohio State University
  • University of Cincinnati
  • Technische Universität Dresden
  • University of Southern California
  • University of Greifswald
  • German Center for Neurodegenerative Diseases
  • Harvard University
  • Massachusetts General Hospital
  • University of Texas Health Science Center at Houston
  • Universidade Federal de São Paulo
  • Universidade Federal do Rio Grande do Sul
  • Institute of Living
  • Yale University
  • IRCCS Fondazione Ca'Granda – Ospedale Maggiore Policlinico - Milano
  • University of Münster
  • University of Pittsburgh
  • University of Sussex
  • King's College London
  • University of Rome La Sapienza
  • San Raffaele Scientific Institute
  • Vita-Salute San Raffaele University
  • University of Belgrade
  • Universidade Tecnológica Federal do Paraná
  • University of Pennsylvania
  • Stony Brook University
  • University of Texas at Austin
  • Laureate Institute for Brain Research
  • University of California at San Diego
  • Washington University St. Louis

Research output: Contribution to journalReview articlepeer-review

63 Scopus citations

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 languageEnglish
Pages (from-to)255-277
Number of pages23
JournalHuman Brain Mapping
Volume43
Issue number1
DOIs
StatePublished - Jan 2022

Keywords

  • data sharing
  • generalized anxiety disorder
  • mega-analyses
  • meta-analyses
  • neuroimaging

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