The ENIGMA Center for Worldwide Medicine, Imaging and Genomics is an unprecedented global effort bringing together 287 scientists and all their vast biomedical datasets, to work on 9 major human brain diseases: schizophrenia, bipolar disorder, major depression, ADHD, OCD, autism, 22q deletion syndrome, HIV/AIDS and addictions. ENIGMA integrates images, genomes, connectomes and biomarkers on an unprecedented scale, with new kinds of computation for integration, clustering, and learning from complex biodata types. ENIGMA, founded in 2009, performed the largest brain imaging studies in history (N>26,000 subjects;Stein +207 authors, Nature Genetics, 2012) screening genomes and images at 125 institutions in 20 countries. Responding to the BD2K RFA, ENIGMA'S Working Groups target key programmatic goals of BD2K funders across the NIH, including NIMH, NIBIB, NICHD, NIA, NINDS, NIDA, NIAAA, NHGRI and FIC. ENIGMA creates novel computational algorithms and a new model for Consortium Science to revolutionize the way Big Data is handled, shared and optimized. We unleash the power of sparse machine learning, and high dimensional combinatorics, to cluster and inter-relate genomes, connectomes, and multimodal brain images to discover diagnostic and prognostic markers. The sheer computational power and unprecedented collaboration advances distributed computation on Big Data leveraging US and non-US infrastructure, talents and data. Our projects will better identify factors that resist and promote brain disease, that help diagnosis and prognosis, and identify new mechanisms and drug targets. Our Data Science Research Cores create new algorithms to handle Big Data from (1) Imaging Genomics, (2) Connectomics, and (3) Machine Learning &Clinical Prediction. Led by world leaders in the field who developed major software packages (e.g., Jieping Ye/SLEP), we prioritize trillions of computations for gene-image clustering, distributed multi-task machine learning, and new approaches to screen brain connections based on the Partition Problem in mathematics. Our ENIGMA Training Program offers a world class Summer School coordinated with other BD2K Centers, worldwide scientific exchanges. Challenge-based Workshops and hackathons to stimulate innovation, and Web Portals to disseminate tools and engage scientists in Big Data science.

Public Health Relevance

The ENIGMA Center for Worldwide Medicine, Imaging and Genomics is an unprecedented global effort uniting 287 scientists from 125 institutions and all their vast biomedical data, to work on 9 major human brain diseases: schizophrenia, bipolar disorder, major depression, ADHD, OCD, autism, 22q deletion syndrome, HIV/AIDS and addictions. ENIGMA integrates images from multiple modalities, genomes, connectomes and biomarkers on an unimaginable scale, with new computations to integrate, cluster, and learn from complex biodata types.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Specialized Center--Cooperative Agreements (U54)
Project #
1U54EB020403-01
Application #
8774373
Study Section
Special Emphasis Panel (ZRG1-BST-N (52))
Program Officer
Pai, Vinay Manjunath
Project Start
2014-09-29
Project End
2018-09-30
Budget Start
2014-09-29
Budget End
2015-05-31
Support Year
1
Fiscal Year
2014
Total Cost
$2,087,641
Indirect Cost
$676,787
Name
University of Southern California
Department
Neurology
Type
Schools of Medicine
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
Hibar, D P; Westlye, L T; Doan, N T et al. (2018) Cortical abnormalities in bipolar disorder: an MRI analysis of 6503 individuals from the ENIGMA Bipolar Disorder Working Group. Mol Psychiatry 23:932-942
Riedel, Brandalyn C; Daianu, Madelaine; Ver Steeg, Greg et al. (2018) Uncovering Biologically Coherent Peripheral Signatures of Health and Risk for Alzheimer's Disease in the Aging Brain. Front Aging Neurosci 10:390
Dennis, Emily L; Babikian, Talin; Giza, Christopher C et al. (2018) Neuroimaging of the Injured Pediatric Brain: Methods and New Lessons. Neuroscientist 24:652-670
Savransky, Anya; Chiappelli, Joshua; Fisseha, Feven et al. (2018) Elevated allostatic load early in the course of schizophrenia. Transl Psychiatry 8:246
Wu, Jianfeng; Zhang, Jie; Shi, Jie et al. (2018) HIPPOCAMPUS MORPHOMETRY STUDY ON PATHOLOGY-CONFIRMED ALZHEIMER'S DISEASE PATIENTS WITH SURFACE MULTIVARIATE MORPHOMETRY STATISTICS. Proc IEEE Int Symp Biomed Imaging 2018:1555-1559
Adhikari, Bhim M; Jahanshad, Neda; Shukla, Dinesh et al. (2018) A resting state fMRI analysis pipeline for pooling inference across diverse cohorts: an ENIGMA rs-fMRI protocol. Brain Imaging Behav :
Dennis, Emily L; Wilde, Elisabeth A; Newsome, Mary R et al. (2018) ENIGMA MILITARY BRAIN INJURY: A COORDINATED META-ANALYSIS OF DIFFUSION MRI FROM MULTIPLE COHORTS. Proc IEEE Int Symp Biomed Imaging 2018:1386-1389
Thorsen, Anders Lillevik; Hagland, Pernille; Radua, Joaquim et al. (2018) Emotional Processing in Obsessive-Compulsive Disorder: A Systematic Review and Meta-analysis of 25 Functional Neuroimaging Studies. Biol Psychiatry Cogn Neurosci Neuroimaging 3:563-571
Duan, Kuaikuai; Chen, Jiayu; Calhoun, Vince D et al. (2018) Neural correlates of cognitive function and symptoms in attention-deficit/hyperactivity disorder in adults. Neuroimage Clin 19:374-383
Whelan, Christopher D; Altmann, Andre; Botía, Juan A et al. (2018) Structural brain abnormalities in the common epilepsies assessed in a worldwide ENIGMA study. Brain 141:391-408

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