ENIGMA Center for Worldwide Medicine, Imaging & Genomics

ENIGMA 全球医学影像中心

• 批准号: 9108710
• 负责人: PAUL M THOMPSON
• 金额: $ 236.95万
• 依托单位: UNIVERSITY OF SOUTHERN CALIFORNIA
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-09-29 至 2018-09-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9108710
• 关键词: Acquired Immunodeficiency Syndrome; Algorithms; Attention deficit hyperactivity disorder; Autistic Disorder; Big Data; Big Data to Knowledge; Biological Markers; Bipolar Disorder; Brain; Brain Diseases; Brain imaging; Clinical; Collaborations; Combinatorics; Complex; Computational algorithm; Computer software; Country; Data; Data Science; Data Set; Diagnosis; Disease; Drug Targeting; Educational workshop; Genes; Genetic; Genetic study; Genome; Genomics; Goals; HIV; Human; Image; Institution; Joints; Learning; Machine Learning; Major Depressive Disorder; Mathematics; Medicine; Modality; Modeling; National Human Genome Research Institute; National Institute of Biomedical Imaging and Bioengineering; National Institute of Child Health and Human Development; National Institute of Drug Abuse; National Institute of Mental Health; National Institute of Neurological Disorders and Stroke; National Institute on Alcohol Abuse and Alcoholism; Nature; Obsessive-Compulsive Disorder; Prognostic Marker; Recording of previous events; Research; Research Infrastructure; Schizophrenia; Schools; Science; Scientist; Talents; Training; Training Programs; United States National Institutes of Health; Work; addiction; base; chromosome 22q deletion syndrome; cluster merger; computer science; connectome; diagnostic biomarker; innovation; multidisciplinary; multitask; neuroimaging; novel; novel strategies; outcome forecast; public health relevance; screening; success; tool; web portal; working group

DESCRIPTION (provided by applicant): 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.

描述（由申请人提供）：ENIGMA 全球医学、影像和基因组学中心是一项史无前例的全球努力，汇集了 287 名科学家及其所有庞大的生物医学数据集，致力于研究 9 种主要的人类大脑疾病：精神分裂症、双相情感障碍、重度抑郁症、 ADHD、强迫症、自闭症、22q 缺失综合征、艾滋病毒/艾滋病和成瘾。 ENIGMA 以前所未有的规模集成了图像、基因组、连接组和生物标记物，并提供了用于集成、聚类和从复杂生物数据类型中学习的新型计算。 ENIGMA 成立于 2009 年，进行了历史上最大规模的脑成像研究（N>26,000 名受试者；Stein + 207 位作者，Nature Genetics，2012 年），在 20 个国家的 125 个机构筛查基因组和图像。为了响应 BD2K RFA，ENIGMA 工作组针对 NIH 的 BD2K 资助者的关键计划目标，包括 NIMH、NIBIB、NICHD、NIA、NINDS、NIDA、NIAAA、NHGRI 和 FIC。 ENIGMA 为 Consortium Science 创建了新颖的计算算法和新模型，彻底改变了大数据的处理、共享和优化方式。我们释放稀疏机器学习和高维组合的力量，对基因组、连接组和多模态大脑图像进行聚类和相互关联，以发现诊断和预后标记。纯粹的计算能力和前所未有的协作利用美国和非美国的基础设施、人才和数据推进了大数据的分布式计算。我们的项目将更好地识别抵抗和促进脑疾病的因素，帮助诊断和预后，并确定新的机制和药物靶点。我们的数据科学研究核心创建新算法来处理来自 (1) 成像基因组学、(2) 连接组学和 (3) 机器学习和临床预测的大数据。在开发主要软件包的该领域的世界领导者（例如，Jieping Ye/SLEP）的领导下，我们优先考虑基因图像聚类、分布式多任务机器学习以及基于分区筛选大脑连接的新方法的数万亿次计算数学问题。 我们的 ENIGMA 培训计划与其他 BD2K 中心、全球科学交流中心合作，提供世界一流的暑期学校。基于挑战的研讨会和黑客马拉松可以刺激创新，门户网站可以传播工具并吸引科学家参与大数据科学。