Our comprehensive Data Science Research program is organized into 4 complementary Algorithm Research Cores: (1) Imaging Genomics, (2) Connectomics, (3) Machine Learning &Clinical Prediction, and (4) ENIGMA Disease Working Groups. World leaders in each field lead each Core, tackling computational questions on a scale not previously imagined or attempted. BigData tools will fuel ENIGMA'S worldwide scientific discoveries. We combine innovations in mathematics, machine learning, genomics, consortium science, and expertise from >20 countries and >125 institutions. ENIGMA is not a project, it is a scientific movement of rapidly and constantly Interacting collaborations that support each other. ENIGMA cohorts boost each other's power with gigantic datasets, tools and expertise to maximally exploit each other's data, performing some of the world's largest disease studies, beyond what any one site could perform alone. ENIGMA is distributed computation at its best, drawing on gigantic datasets and expertise. We create massive economic savings - drawing on worldwide computational and infrastructural resources vastly beyond what any one site in any one country would apply to a targeted biomedical goal. We bring BigData Science and the ENIGMA Consortium together to advance Worldwide Medicine. In Cores 1 and 2 we mine images and connectomes for genetic markers that re-wire the brain or boost brain tissue loss, using new mathematics to prioritize and organize trillions of computations, jointly searching images and genomes. In Core 3, we unleash multi-task sparse learning to predict diagnosis and prognosis from vast high-dimensional biomarker data in the largest neuroimaging genetics datasets ever. In Core 4 we use these tools in a massive distributed computation: a vast, mutually interacting set of 9 Worldwide Working Groups, led by experts in 9 major diseases of the brain - schizophrenia, bipolar, major depression, ADHD, autism, OCD, 22q deletion syndrome, HIV/AIDS, and addictions. We will discover what genes, medications, and lifestyle factors promote or resist brain disease worldwide. Our ENIGMA Center is a worldwide movement in mutually supportive discovery in medicine - spurred on by tools to perform gigantic computations never before Imagined.

Public Health Relevance

ENIGMA'S Data Science Research brings together 125 institutions to investigate and compare 9 major brain diseases. ENIGMA'S worldwide reach brings together biomedical data and experts from over 20 countries to analyze Big Data in a consistent way. Our harmonized work brings unequalled power to discover genes, medications, and lifestyle factors affecting brain disease worldwide. New algorithms probe genomes, connectomes, and biomarker data using deep searches, multi-task learning, and combinatorics.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Specialized Center--Cooperative Agreements (U54)
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Special Emphasis Panel (ZRG1-BST-N (52))
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University of Southern California
Los Angeles
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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
Ruggeri, Barbara; Macare, Christine; Stopponi, Serena et al. (2018) Methylation of OPRL1 mediates the effect of psychosocial stress on binge drinking in adolescents. J Child Psychol Psychiatry 59:650-658
Couvy-Duchesne, Baptiste; Strike, Lachlan T; de Zubicaray, Greig I et al. (2018) Lingual Gyrus Surface Area Is Associated with Anxiety-Depression Severity in Young Adults: A Genetic Clustering Approach. eNeuro 5:

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