Mega-analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group
Research output: Contribution to journal › Review article › Contributed › peer-review
Contributors
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.
Details
Original language | English |
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Pages (from-to) | 255-277 |
Number of pages | 23 |
Journal | Human brain mapping |
Volume | 43 (2022) |
Issue number | 1 |
Early online date | 29 Jun 2020 |
Publication status | Published - Jan 2022 |
Peer-reviewed | Yes |
External IDs
Scopus | 85083703055 |
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unpaywall | 10.1002/hbm.25096 |
PubMed | 32596977 |
Mendeley | bffa17e5-951c-3277-9cf1-a4c3355bd4de |
ORCID | /0000-0002-9687-5527/work/142235224 |
Keywords
Research priority areas of TU Dresden
ASJC Scopus subject areas
Keywords
- data sharing, generalized anxiety disorder, mega-analyses, meta-analyses, neuroimaging, Data Interpretation, Statistical, Meta-Analysis as Topic, Multicenter Studies as Topic/methods, Cerebral Cortex/diagnostic imaging, Neuroimaging/methods, Humans, Anxiety Disorders/diagnostic imaging