Logo image
The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data
Journal article   Open access   Peer reviewed

The ENIGMA Consortium: large-scale collaborative analyses of neuroimaging and genetic data

P.M. Thompson, J.L. Stein, S.E. Medland, D.P. Hibar, A.A. Vasquez, M.E. Renteria, R. Toro, N. Jahanshad, G. Schumann, B. Franke, …
Brain Imaging and Behavior, Vol.8(2), pp.153-182
2014
pdf
enigma_consortium.pdfDownloadView
Published (Version of Record) Open Access
url
Free to Read *No subscription requiredView

Abstract

The Enhancing NeuroImaging Genetics through Meta-Analysis (ENIGMA) Consortium is a collaborative network of researchers working together on a range of large-scale studies that integrate data from 70 institutions worldwide. Organized into Working Groups that tackle questions in neuroscience, genetics, and medicine, ENIGMA studies have analyzed neuroimaging data from over 12,826 subjects. In addition, data from 12,171 individuals were provided by the CHARGE consortium for replication of findings, in a total of 24,997 subjects. By meta-analyzing results from many sites, ENIGMA has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected. ENIGMA's first project was a genome-wide association study identifying common variants in the genome associated with hippocampal volume or intracranial volume. Continuing work is exploring genetic associations with subcortical volumes (ENIGMA2) and white matter microstructure (ENIGMA-DTI). Working groups also focus on understanding how schizophrenia, bipolar illness, major depression and attention deficit/hyperactivity disorder (ADHD) affect the brain. We review the current progress of the ENIGMA Consortium, along with challenges and unexpected discoveries made on the way.

Details

UN Sustainable Development Goals (SDGs)

This output has contributed to the advancement of the following goals:

#3 Good Health and Well-Being

Source: InCites

Metrics

187 File views/ downloads
74 Record Views

InCites Highlights

These are selected metrics from InCites Benchmarking & Analytics tool, related to this output

Collaboration types
Industry collaboration
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.7 Neuroscanning
1.7.720 Functional Connectivity
Web Of Science research areas
Neuroimaging
ESI research areas
Neuroscience & Behavior
Logo image