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.
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.
|Jia, Tianye; Macare, Christine; DesriviÃ¨res, Sylvane et al. (2016) Neural basis of reward anticipation and its genetic determinants. Proc Natl Acad Sci U S A 113:3879-84|
|Zhang, Jie; Stonnington, Cynthia; Li, Qingyang et al. (2016) APPLYING SPARSE CODING TO SURFACE MULTIVARIATE TENSOR-BASED MORPHOMETRY TO PREDICT FUTURE COGNITIVE DECLINE. Proc IEEE Int Symp Biomed Imaging 2016:646-650|
|Boedhoe, Premika S W; Schmaal, Lianne; Abe, Yoshinari et al. (2016) Distinct Subcortical Volume Alterations in Pediatric and Adult OCD: A Worldwide Meta- and Mega-Analysis. Am J Psychiatry :appiajp201616020201|
|Cameron Craddock, R; S Margulies, Daniel; Bellec, Pierre et al. (2016) Brainhack: a collaborative workshop for the open neuroscience community. Gigascience 5:16|
|Everaerd, Daphne; Klumpers, Floris; Zwiers, Marcel et al. (2016) Childhood abuse and deprivation are associated with distinct sex-dependent differences in brain morphology. Neuropsychopharmacology 41:1716-23|
|Kochunov, Peter; Thompson, Paul M; Winkler, Anderson et al. (2016) The common genetic influence over processing speed and white matter microstructure: Evidence from the Old Order Amish and Human Connectome Projects. Neuroimage 125:189-97|
|Colom, Roberto; Hua, Xue; MartÃnez, Kenia et al. (2016) Brain structural changes following adaptive cognitive training assessed by Tensor-Based Morphometry (TBM). Neuropsychologia 91:77-85|
|Hasan, Khader M; Mwangi, Benson; Cao, Bo et al. (2016) Entorhinal Cortex Thickness across the Human Lifespan. J Neuroimaging 26:278-82|
|Hibar, D P; Westlye, L T; van Erp, T G M et al. (2016) Subcortical volumetric abnormalities in bipolar disorder. Mol Psychiatry 21:1710-1716|
|Shen, Kai-Kai; DorÃ©, Vincent; Rose, Stephen et al. (2016) Heritability and genetic correlation between the cerebral cortex and associated white matter connections. Hum Brain Mapp 37:2331-47|
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