The ENIGMA Center for Worldwide Medicine, Imaging and Genomics galvanized the brain imaging and genomics communities worldwide to pool all their data, talents, and infrastructure to work on previously intractable computational and biomedical goals. ENIGMA'S Administrative Core offers support, leadership, and democratic policies to create the largest brain imaging genomics studies in history.
Our Aims are:
Aim 1. Coordinate the largest worldwide genomic analyses of images. The ENIGMA Center and its Support Groups will coordinate work by 287 scientists at 125 institutions. Our expertise, administrative support, and analytical resources will accelerate worldwide studies of the brain across the U.S., Europe, Australia, Asia and Africa. Our Support Groups distribute computations on worldwide genomic, imaging and clinical data, in ever-increasing power and depth.
Aim 2. Coordinate Worldwide ENIGMA Working Groups on Disease. ENIGMA coordinates 9 mutually supportive Working Groups on 9 major worldwide brain diseases: schizophrenia, bipolar disorder, major depression, ADHD, OCD, autism, 22q deletion syndrome, HIV/AIDS and addictions. These multinational activities use large-scale distributed computation to draw on massive infrastructure and expertise from 287 scientists from 20 countries. Guiding principles are: clear and unified medical goals, protocol harmonization, consortium science, and meta-analysis to improve disease diagnosis and prognosis worldwide.
Aim 3. Implement ethical worldwide collaboration. We will assure ethical handling of biomedical Big Data, authorship, credit, and democracy. We encourage secondary proposals to work with ENIGMA data. Projects use Memoranda of Understanding (MoUs), with clear policies for timelines, embargo handling and conflict resolution.
Aim 4. Sustain ENIGMA'S growth. We introduce metrics to evaluate how our ENIGMA Center impacts the scientific community. We synergize with other Big Data efforts, helping with training, and scientific exchange, saving costs. Sustained funding will involve philanthropy and will leverage multi-continent support and our partners' non-US infrastructure.

Public Health Relevance

ENIGMA'S Administrative Core offers support, leadership, and democratic policies that created the largest brain imaging genomics studies in history. Our Administrative Core organizes work by 287 scientists at 125 institutions, offering expertise, administrative direction, and analytical resources to accelerate worldwide studies of 9 major brain diseases: schizophrenia, bipolar illness, major depression, ADHD, OCD, autism, 22q deletion syndrome, HIV/AIDS and addictions.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
5U54EB020403-02
Application #
8935795
Study Section
Special Emphasis Panel (ZRG1-BST-N)
Project Start
Project End
Budget Start
2015-06-01
Budget End
2016-05-31
Support Year
2
Fiscal Year
2015
Total Cost
$270,099
Indirect Cost
$86,767
Name
University of Southern California
Department
Type
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Kong, Xiang-Zhen; Mathias, Samuel R; Guadalupe, Tulio et al. (2018) Mapping cortical brain asymmetry in 17,141 healthy individuals worldwide via the ENIGMA Consortium. Proc Natl Acad Sci U S A 115:E5154-E5163
Gillespie, Nathan A; Neale, Michael C; Bates, Timothy C et al. (2018) Testing associations between cannabis use and subcortical volumes in two large population-based samples. Addiction :
Dennis, Emily L; Babikian, Talin; Alger, Jeffry et al. (2018) Magnetic resonance spectroscopy of fiber tracts in children with traumatic brain injury: A combined MRS - Diffusion MRI study. Hum Brain Mapp :
Mostert, Jeanette C; Hoogman, Martine; Onnink, A Marten H et al. (2018) Similar Subgroups Based on Cognitive Performance Parse Heterogeneity in Adults With ADHD and Healthy Controls. J Atten Disord 22:281-292
Hibar, Derrek P; Cheung, Joshua W; Medland, Sarah E et al. (2018) Significant concordance of genetic variation that increases both the risk for obsessive-compulsive disorder and the volumes of the nucleus accumbens and putamen. Br J Psychiatry 213:430-436
Kurth, Florian; Thompson, Paul M; Luders, Eileen (2018) Investigating the differential contributions of sex and brain size to gray matter asymmetry. Cortex 99:235-242
Adhikari, Bhim M; Jahanshad, Neda; Shukla, Dinesh et al. (2018) Comparison of heritability estimates on resting state fMRI connectivity phenotypes using the ENIGMA analysis pipeline. Hum Brain Mapp 39:4893-4902
Velthorst, Eva; Froudist-Walsh, Sean; Stahl, Eli et al. (2018) Genetic risk for schizophrenia and autism, social impairment and developmental pathways to psychosis. Transl Psychiatry 8:204
Carass, Aaron; Cuzzocreo, Jennifer L; Han, Shuo et al. (2018) Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images. Neuroimage 183:150-172
van Erp, Theo G M; Walton, Esther; Hibar, Derrek P et al. (2018) Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (ENIGMA) Consortium. Biol Psychiatry 84:644-654

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