FUNCTION BIRN

这个子项目是许多利用 由NIH/NCRR资助的中心赠款提供的资源。子项目和 研究者（PI）可能从另一个NIH来源获得了主要资金， 因此可以在其他CRISP条目中表示。所列机构为 研究中心，而研究中心不一定是研究者所在的机构。 描述（由申请人提供）： FBIRN的总体目标是开发进行多部位功能成像研究的技术和方法，并建立一个通过单部位成像研究无法获得的知识库。该技术包括使用强大的认知任务开发和完善多站点功能成像协议;开发和完善算法以减少站点间的可变性;使用联合分布式数据库和存储;与这些数据库和存储基础设施集成的灵活和强大的图像处理软件;用于跨所述分布式数据库进行数据查询以从多个源提取数据子集的工具;以及经典统计和数据挖掘方法的发展，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将发展在一组集中的神经精神疾病患者（精神分裂症患者）中进行多中心功能成像研究的能力。所吸取的经验教训，统计方法的发展，和信息结构的构建将是普遍适用的，适用于各种各样的临床研究。整合来自不同站点的临床、功能成像和行为数据集子集以形成新数据集的能力将在一系列分阶段的开发和优化中进行评估。 该提案的总体目标是开发工具，使多站点功能磁共振成像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通过大规模协作神经影像研究的能力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利用一套通用的工具和数据库系统，这在一个单一的站点是不可能的。

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. DESCRIPTION (provided by the applicant): 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.