proj 3 - NINDS INSTIUTIONAL CENTER CORE GRANTS TO SUPPORT NEUROSCIENCE RESEAR

这项提议是继续在华盛顿大学建立NINDS脑成像中心核心(NCCBI)。在其运作的五年中，NCCBI已成为该大学神经科学界不可或缺的资源，在此期间，成像研究不断发展。神经成像研究在涉及的研究对象的数量、协议中使用的图像采集的类型、所包括的非成像措施的多样性以及图像后处理和分析的程度方面变得更加广泛。该中心在下一个资金周期的目标是支持大学神经成像社区不断发展的实践。该中心将实现以下具体目标： 1.我们将促进高通量、高度跨学科的神经影像研究。将部署一个软件和硬件基础设施，将成像设施、信息资源和分析能力统一到一个有组织的安全研究平台中。关键组件将包括DICOM数据交换服务、基于XNAT的成像信息学系统和综合自动化分析管道。这一基础设施将以专家咨询服务、全面的文档和广泛的培训计划为后盾。 2.促进应急成像和分析方法向产品级研究资产转变。已经确定了一套与处于开发管道的不同阶段的分析方法相关的成像方法，包括解剖MRI；扩散张量成像；流动、代谢和放射性配基结合的正电子发射断层扫描研究；动脉自旋标记MRI；以及定量血氧水平依赖(BOLD)MRI。通过优化、自动化和文档化的迭代过程，我们将加快将这些方法转变为研究人员友好的应用程序。总而言之，这些目标概括了支持大学神经科学界的全面方法 通过实现当前最先进的实践和推进下一代开创性实践。NCCBI将包括管理、信息学和分析核心，以实现这些目标。

This proposal is to continue the NINDS Center Core for Brain Imaging (NCCBI) at Washington University. During its five years of operation, the NCCBI has become an integral resource for the University's neuroscience community, and during this time, imaging research has continued to evolve. Neuroimaging studies have become more expansive in terms of the number of research subjects involved, the types of image acquisitions utilized in protocols, the diversity of non-imaging measures that are included, and the extent of image post-processing and analysis that is conducted. The goal of the Center in the next funding cycle is to support the evolving practices of the University's neuroimaging community. The Center will achieve the following specific aims: 1. We will facilitate high throughput, highly interdisciplinary neuroimaging research. A software and hardware infrastructure will be deployed that will unify the imaging facilities, informational resources, and analytic capabilities into an organized and secure research platform. Key components will include DICOM data exchange services, an XNAT-based imaging informatics system, and integrated automated analysis pipelines. This infrastructure will be backed with expert consultation services, comprehensive documentation, and an extensive training program. 2. We will facilitate the transition of emergent imaging and analysis methods into production-grade research assets. A set of imaging methods have been identified that have associated anlysis methods that are at various stages in the development pipelines, including anatomic MRI; diffusion tensor imaging; positron emission tomography studies of flow, metabolism and radioligand binding; arterial spin labeling MRI; and quantitative blood oxygen level dependent (BOLD) MRI. Through an iterative process of optimizing, automating, and documenting, we will speed the transition of these methods into investigator-friendly applications. Together these aims encapsulate a sweeping approach to supporting the University's neuroscience community by enabling the current state of the art practices and by advancing the next generation of groundbreaking practices. The NCCBI will include Administration, Informatics, and Analysis cores to achieve these aims.