hbm.25096.pdf (3.88 MB)
Mega-analysis methods in ENIGMA: the experience of the generalized anxiety disorder working group
Version 2 2023-06-12, 09:28
Version 1 2023-06-09, 21:31
journal contribution
posted on 2023-06-12, 09:28 authored by 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, Hugo CritchleyHugo Critchley, Matteo Mancini, Frances Meeten, othersThe 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.
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Publication status
- Published
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- Published version
Journal
Human Brain MappingISSN
1065-9471Publisher
WileyExternal DOI
Page range
1-23Department affiliated with
- Psychology Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2020-09-04First Open Access (FOA) Date
2020-09-04First Compliant Deposit (FCD) Date
2020-09-03Usage metrics
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