COGNITIVE PHENOTYPING: NEUROPSYCHIATRIC THERAPEUTICS (RMI)

该子项目是利用该技术的众多研究子项目之一 资源由 NIH/NCRR 资助的中心拨款提供。子项目及 研究者 (PI) 可能已从 NIH 的另一个来源获得主要资金， 因此可以在其他 CRISP 条目中表示。列出的机构是 对于中心来说，它不一定是研究者的机构。 认知表型组学探索中心（CCP）旨在加速跨综合征和跨物种认知表型的识别和有效测量，以推进神经精神治疗的跨学科研究。认知异常已在所有主要神经精神疾病中被发现，为基因组研究和临床试验提供定量表型，并为神经系统模型提供强大的桥接关系。 CCP 将使用神经行为、神经影像和神经精神药理学方法在跨学科研究中迭代完善认知表型，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大型专家组的活动，以：（1）生成跨疾病和跨物种的表型目录； (2) 开发表型选择算法来识别最有希望进行研究的候选者； （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 UCLA 校园范围的资源来提供桥梁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；临床试验设计和监管事务；和生物伦理学。 CCP的目标是克服发现神经精神综合征治疗方法的瓶​​颈，这些瓶颈是由于使用传统的行为“症状”表型而引起的，这些表型是异质和重叠的，并且难以转化为基础研究。长期目标是建立一个成熟的 CCP，为国际研究界提供高效、经过充分验证的表型测定；与基因组学、蛋白质组学和其他生物知识库相关的认知表型组学数据存储库；以及神经精神治疗跨学科研究的新策略。

This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. 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.