Mega‐analysis methods in ENIGMA: The experience of the generalized anxiety disorder working group
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 pro...
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Published in | Human brain mapping Vol. 43; no. 1; pp. 255 - 277 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
Hoboken, USA
John Wiley & Sons, Inc
01.01.2022
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Subjects | |
Online Access | Get full text |
ISSN | 1065-9471 1097-0193 1097-0193 |
DOI | 10.1002/hbm.25096 |
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Summary: | 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.
This report summarizes the background information and rationale for the various methodological decisions made by the ENIGMA—GAD group. The aim of this work is to help guide other research groups working with large brain imaging data sets. |
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Bibliography: | Funding information Fondazione Cariplo, Grant/Award Number: 2016‐0908; Hartford HealthCare Research Funding Initiative, Grant/Award Number: #129522; Federal Ministry of Education and Research, Grant/Award Numbers: 01ZZ0403, 01ZZ0103, 01ZZ9603, 01ER1703, 01ER1303; National Institutes of Health (NIH), Grant/Award Numbers: K23MH109983, T32MH100019, R01MH101486, U54‐EB020403, ZIA‐MH002782, ZIA‐MH002781 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 Funding information Fondazione Cariplo, Grant/Award Number: 2016‐0908; Hartford HealthCare Research Funding Initiative, Grant/Award Number: #129522; Federal Ministry of Education and Research, Grant/Award Numbers: 01ZZ0403, 01ZZ0103, 01ZZ9603, 01ER1703, 01ER1303; National Institutes of Health (NIH), Grant/Award Numbers: K23MH109983, T32MH100019, R01MH101486, U54‐EB020403, ZIA‐MH002782, ZIA‐MH002781 |
ISSN: | 1065-9471 1097-0193 1097-0193 |
DOI: | 10.1002/hbm.25096 |