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

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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, others
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.

History

Publication status

  • Published

File Version

  • Published version

Journal

Human Brain Mapping

ISSN

1065-9471

Publisher

Wiley

Page range

1-23

Department affiliated with

  • Psychology Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2020-09-04

First Open Access (FOA) Date

2020-09-04

First Compliant Deposit (FCD) Date

2020-09-03

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