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中文摘要
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这个子项目是许多利用资源的研究子项目之一 由NIH/NCRR资助的中心拨款提供。子项目的主要支持 而子项目的主要调查员可能是由其他来源提供的, 包括其它NIH来源。 列出的子项目总成本可能 代表子项目使用的中心基础设施的估计数量, 而不是由NCRR赠款提供给子项目或子项目工作人员的直接资金。 探索性的认知表型组学中心(CCP)旨在加速识别和有效测量跨综合征和跨物种的认知表型,以推进神经精神疗法的跨学科研究。认知异常已被确定在所有主要的神经精神疾病,提供定量的基因组研究和临床试验的表型,并提供强大的桥接关系的神经系统模型。CCP将在跨学科研究中使用神经行为、神经成像和神经心理药理学方法迭代完善认知表型,以提供生理内表型的转化验证。CCP将协调加州大学洛杉矶分校和其他地方的一大群专家的活动:(1)生成跨疾病和跨物种的表型目录;(2)开发表型选择算法,以确定最有前途的研究候选人;(3)设计表型组学数据库,用于经验数据表示,数据挖掘和假设检验;(4)支持概念验证试点项目。为了推进这些目标,CCP将启动以下核心服务:高通量认知表型分析;神经影像学;和转化神经精神药理学。CCP最初将利用加州大学洛杉矶分校校园范围内的资源,提供以下方面的桥接基础设施和专业知识:基因组学,药物基因组学和统计遗传学;生物统计学和心理测量学;生物信息学;临床试验设计和法规事务;和生物伦理学。CCP旨在克服神经精神综合征治疗方法发现的瓶颈,这些治疗方法是由使用传统的行为“症状”表型引起的,这些表型是异质和重叠的,难以转化为基础研究。长期目标是建立一个成熟的CCP,为国际研究界提供有效的、经过充分验证的表型测定;一个与基因组学、蛋白质组学和其他生物学知识库相关联的认知表型组学数据库;以及神经精神疗法跨学科研究的新策略。
英文摘要
This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. Primary support for the subproject and the subproject's principal investigator may have been provided by other sources, including other NIH sources. The Total Cost listed for the subproject likely represents the estimated amount of Center infrastructure utilized by the subproject, not direct funding provided by the NCRR grant to the subproject or subproject staff. The exploratory Center for Cognitive Phenomics (CCP) aims to accelerate identification and efficient measurement of cognitive phenotypes across syndromes and across species to advance interdisciplinary research on neuropsychiatric therapeutics. Cognitive abnormalities have been identified in all major neuropsychiatric disorders, offer quantitative phenotypes for genomic studies and clinical trials, and provide strong bridging relations to neural systems models. The CCP will iteratively refine cognitive phenotypes in interdisciplinary research using neurobehavioral, neuroimaging, and neuropsychopharmacological approaches to provide translational validation of physiological endophenotypes. The CCP will coordinate activities of a large group of experts at UCLA and elsewhere to: (1) generate cross-disorder and cross-species catalogs of phenotypes; (2) develop a phenotype selection algorithm to identify the most promising candidates for research; (3) design a phenomics database for empirical data representation, data mining, and hypothesis testing; and (4) support proof of- concept pilot projects. To advance these aims the CCP will initiate core services for: High Throughput Cognitive Phenotyping; Neuroimaging; and Translational Neuropsychopharmacology. The CCP will initially leverage UCLA campus-wide resources to provide bridging infrastructure and expertise in: Genomics, Pharmacogenomics and Statistical Genetics; Biostatistics and Psychometrics; Bioinformatics; Clinical Trial Design and Regulatory Affairs; and Bioethics. The CCP aims to overcome bottlenecks in the discovery of treatments for neuropsychiatric syndromes that are caused by the use of traditional behavioral "symptom" phenotypes, which are heterogeneous and overlapping, and difficult to translate to basic research. The long-term goal is establishment of a mature CCP that will provide the international research community with efficient, well validated phenotype assays; a cognitive phenomics data repository linked to genomics, proteomics, and other biological knowledge-bases; and novel strategies for interdisciplinary research on neuropsychiatric therapeutics.
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National Neuropsychological Network (NNN)
National Neuropsychological Network (NNN)
Genetic, Imaging, and Cognition study of Positive Valence Systems in Psychotic Syndromes
Genetic, Imaging, and Cognition study of Positive Valence Systems in Psychotic Syndromes
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