Function BIRN

函数BIRN

• 批准号: 7920759
• 负责人: STEVEN G POTKIN
• 金额: $ 92.62万
• 依托单位: UNIVERSITY OF CALIFORNIA-IRVINE
• 依托单位国家: 美国
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-09-28 至 2012-09-27
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7920759
• 关键词: Function; BIRN

The overarching goal of the Function BIRN (FBIRN) is to develop technology and methods to conduct multi- site 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 datamining 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 functional MRI 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.

功能BIRN（FBIRN）的首要目标是开发技术和方法，以进行多个 网站功能成像研究，并产生一个知识库，否则将无法获得 通过单点成像研究。该技术包括开发和完善多站点， 使用强大的认知任务的功能成像协议;算法的开发和改进， 减少站点间的可变性;使用联合的分布式数据库和存储;灵活且可靠 与这些数据库和存储基础设施集成的图像处理软件; 跨所述分布式数据库进行查询以从多个源提取数据子集;以及 开发经典的统计和数据挖掘方法，以揭示成像，临床， 以及区分重要人群集群的行为数据。 为了实现这一目标，FBIRN将发展在一个国家进行多中心功能成像研究的能力。 重点关注患有神经精神疾病的受试者群体、精神分裂症患者。吸取的教训， 开发的统计方法和构建的信息学结构将是可推广的， 适用于各种临床研究。整合临床、功能、 将分阶段评估来自不同站点的成像和行为数据集，以形成新的数据集。 一系列的发展和优化。 该提案的总体目标是开发工具，使多部位功能MRI研究成为一种常见的 研究实践这一目标的完成使研究人员能够研究 通过大规模协作神经成像的增强功能， 问题研究完成后，不同领域和物理位置的研究人员将能够利用 一套通用的工具和数据库系统不可能在一个单一的地点。