Our ENIGMA Consortium is a truly international consortium involving researchers from 20 countries and 125 institutions worldwide. The consortium is organized into (1) the largest imaging genomics effort in history, analyzing brain MRI scans from 26,000 individuals with genome-wide data, (2) technical experts in the mathematics of Big Data, and (3) 9 Working Groups on schizophrenia, bipolar disorder, depression, ADHD, autism, OCD, 22q, HIV, and addictions. The opportunities for training and dissemination - and the global reach of the ENIGMA project - lie at the heart of ENIGMA'S ultra-collaborative training efforts. ENIGMA spans imaging, genetics, medicine, and mathematics, with diverse opportunities for cross-disciplinary training for researchers at all levels, to advance Big Data science.
Aim 1. ENIGMA Scientist Exchange Program. This innovative program will train researchers to analyze Big Data, focusing on imaging and genomics.
Aim 2. International Summer School. Building on our experience hosting summer schools on mathematics in medical imaging for hundreds of students, our annual summer school will host around 100 students for 2 weeks. These lectures will be archived on a YouTube Channel to facilitate access and allow us to update content. Meeting venues will rotate annually for maximum reach.
Aim 3. Workshops for Novices in ENIGMA Themes, Big Data Science. These 1-day hands-on workshops offer training in tool use for people analyzing Big Data.
Aim 4. ENIGMA Challenges. Expert users will compete to solve technically tough problems (ENIGMA Challenges) using the Hackathon/MICCAI Challenge model - yielding a published proceedings of short papers.
Aim 5. ENIGMA Website and Portal to ENIGMA Tools (ENIGMA-Vis, SLEP) and Training Materials. We will offer a single portal (http://enigma.ini.usc.edu) to access (1) ENIGMA'S tools, protocols, and software, (2) web-based queries of gene effects on brain measures, via the ENIGMA-Vis tool, and (3) multimedia updates on discoveries across ENIGMA, papers, video tutorials, radio interviews, news, and publicity materials to interest trainees, visitors, and new participants.

Public Health Relevance

ENIGMA'S Worldwide Training Program draws on the expertise, infrastructure and sheer collaborative power of 125 institutions analyzing 9 major brain diseases with large-scale imaging and genomics. ENIGMA'S Training Program offers a Scientist Exchange Program with a global reach. We offer an International Summer School, Workshops for Novices, Competitive Challenges for Experts, and a dynamically updated website for open access to ENIGMA'S tools, protocols, software, and publicity materials for trainees and the general public.

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 #
8905094
Study Section
Special Emphasis Panel (ZRG1-BST-N (52))
Project Start
Project End
Budget Start
2014-09-29
Budget End
2015-05-31
Support Year
1
Fiscal Year
2014
Total Cost
$297,272
Indirect Cost
$114,419
Name
University of Southern California
Department
Type
DUNS #
072933393
City
Los Angeles
State
CA
Country
United States
Zip Code
90089
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Mielenz, D; Reichel, M; Jia, T et al. (2018) EFhd2/Swiprosin-1 is a common genetic determinator for sensation-seeking/low anxiety and alcohol addiction. Mol Psychiatry 23:1303-1319
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

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