FUNCTION BIRN

功能伯恩

• 批准号: 7955651
• 负责人: STEVEN G POTKIN
• 金额: $ 0.34万
• 依托单位: UNIVERSITY OF CALIFORNIA LOS ANGELES
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7955651
• 关键词: Algorithms; Behavioral; Clinical; Clinical Trials; Cognitive; Complex; Computer Retrieval of Information on Scientific Projects Database; Computer software; Data; Data Set; Databases; Development; Disease; Distributed Databases; Focus Groups; Functional Imaging; Functional Magnetic Resonance Imaging; Functional disorder; Funding; Goals; Grant; Image; Informatics; Institution; Learning; Location; Methods; Modeling; Patients; Pattern; Phase; Population; Protocols documentation; Research; Research Infrastructure; Research Personnel; Resources; Schizophrenia; Series; Site; Source; Statistical Methods; Structure; System; Technology; United States National Institutes of Health; computational anatomy; data mining; flexibility; image processing; knowledge base; meetings; neuroimaging; neuropsychiatry; novel; tool

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 overarching goal of the FBIRN is to develop technology and methods to conduct multisite functional imaging studies, and to produce a knowledge base that would not otherwise be available through single-site imaging studies. The technology includes the development and refinement of multi-site, functional imaging protocols using robust cognitive tasks; the development and refinement of algorithms to reduce inter-site variability; the use of federated, distributed databases and storage; flexible and robust image processing software integrated with these databases and storage infrastructure; tools for data querying across the distributed databases to extract subsets of data from multiple sources; and the development of both classical statistical and data mining methods to reveal the patterns of imaging, clinical, and behavioral data which differentiate important population clusters. To meet this goal, the FBIRN will develop the capacity to conduct a multi-center functional imaging study in a focused group of subjects with a neuropsychiatric disorder, patients with schizophrenia. The lessons learned, the statistical methods developed, and the informatics structure constructed will be generalizable and applicable to a wide variety of clinical investigations. The ability to integrate subsets of clinical, functional imaging, and behavioral datasets from disparate sites to form novel datasets will be assessed in a phased series of developments and optimizations. The overall goal of this proposal is to develop tools to make multi-site fMRI studies a common research practice. Completion of this goal enables researchers to investigate the pathophysiology of complex diseases more thoroughly, through the increased power of large-scale, collaborative neuroimaging studies. When completed, researchers in different fields and physical locations will be able to draw on a common set of tools and database systems not possible at a single site.

该副本是利用众多研究子项目之一 由NIH/NCRR资助的中心赠款提供的资源。子弹和 调查员（PI）可能已经从其他NIH来源获得了主要资金， 因此可以在其他清晰的条目中代表。列出的机构是 对于中心，这不一定是调查员的机构。 FBIRN的总体目标是开发技术和方法来进行多站点功能成像研究，并产生一个知识库，否则该知识基础将无法通过单位成像研究获得。该技术包括使用强大的认知任务的多站点功能成像协议的开发和完善；算法的开发和完善，以降低现场变异性；使用联合，分布式数据库和存储的使用；与这些数据库和存储基础结构集成的灵活且健壮的图像处理软件；跨分布式数据库进行数据查询的工具，以从多个来源提取数据子集；以及开发经典的统计和数据挖掘方法，以揭示成像，临床和行为数据的模式，从而区分重要的人群集群。为了实现这一目标，FBIRN将在患有精神分裂症患者的患有神经精神疾病的患者的聚焦受试者中进行多中心功能成像研究。所学到的经验教训，统计方法以及构建的信息学结构将是可以推广的，并且适用于各种临床研究。将分阶段的开发项目和优化评估，将评估从不同位点整合临床，功能成像和行为数据集的子集的能力。该提案的总体目标是开发工具，使多站点fMRI研究成为常见的研究实践。该目标的完成使研究人员能够通过增加大规模，协作神经影像学研究的能力来更彻底地研究复杂疾病的病理生理学。完成后，不同领域和物理位置的研究人员将能够在单个站点上不可能利用一组常见的工具和数据库系统。