Management and data analysis

管理和分析由神经成像和神经生理学核心获得的具有超高信息含量的非常大的数据集需要专业的专业知识和资源。Core 4为使用Cores 1、2和3的神经科学家实现并支持使用最先进的图像处理和数据分析程序。虽然已经为人类MRI数据开发了大量的软件分析包和方法，但可用于动物MRI和MRS的软件包有限。为了解决这些限制，Core 4创建了一套针对小动物MR数据处理进行优化的工具，并将其与各种商业和内部软件集成在一起，为QNMR Core Center科学家和合作PI的所有软件需求提供支持。用户依赖于基于服务器的高性能群集，该群集可提供快速的数据访问、备份和共享。Core 4的合格用户组由NINDS资助的11名PI组成，他们沿着与其他17名NIH资助的PI一起使用多模态MR/神经生理学软件工具处理数据，以回答基础和临床神经科学中的基本问题。耶鲁大学QNMR核心中心核心4的影响力体现在其对32项NIH赠款和9项新研究计划的支持，这些研究计划导致了论文和赠款，培训了5名神经科学家（3个在NINDS PI实验室）先进的MRI/MRS数据分析和处理，在51篇论文中使用Core 4开发的软件，导致388次引用（仅Core 4就占所有Core 106篇论文总引用的32%）。对于下一个周期，我们将继续为Core 4用户实施、维护和支持创新的先进和用户特定的数据分析工具，支持新的研究计划，为神经科学Pis及其人员提供Core 4使用的培训和指导，促进MR/神经生理测量和项目特定数据分析的协同使用，实施新的图像处理和数据分析方法，以支持神经科学Pis，并跟踪Core 4活动，并向NIH社区传播/共享资源。实施的方法包括用户特定的工具，需要有效地分析跨模态数据，以加强NINDS和NIH资助的研究。

Management and analysis of the very large data sets with ultra-high information content acquired by the neurolmaging and neurophysiology Cores requires specialized expertise and resources. Core 4 implements and supports usage of state-of-the-art image processing and data analysis programs for neuroscientists using Cores 1, 2 and 3. While a large number of software analysis packages and methods have been developed for human MRI data, the packages available for animal MRI and MRS have been limited. To address these limitations Core 4 created a suite of tools optimized for processing of small animal MR data and integrated them with various commercial and in-house software, which together provides support for all software needs of QNMR Core Center scientists and collaborating Pis. Users rely on a server-based high-performance cluster that provides rapid data access, backup, and sharing. The qualifying user group of Core 4 consists of 11 Pis funded by NINDS who along with 17 other NIH-funded Pis use multi-modal MR/neurophysiology software tools to process data to answer fundamental questions in basic and clinical neuroscience. The impact of Core 4 of Yale's QNMR Core Center is evidenced by its support of 32 NIH grants and 9 new research initiatives that led to papers and grants, the training of 5 neuroscientists (3 in NINDS PI laboratories) in advanced MRI/MRS data analysis and processing, and the use of Core 4 developed software in 51 papers that led to 388 citations (for Core 4 alone this represents 32% of the total citations for 106 papers for all Cores). For the next cycle, we will continue to implement, maintain, arid support innovative advanced and user-specific data analysis tools for Core 4 users, support new research initiatives, train and provide mentorship for neuroscience Pis and their personnel for Core 4 usage, facilitate synergistic use of MR/neurophysiological measurements and project specific data analysis, implement new image processing and data analysis methods to support neuroscience Pis, and track Core 4 activities and disseminate/share resources to NIH community. The implemented methods include user-specific tools needed to efficiently analyze cross-modal data to enhance NINDS- and NIH-funded research.