TERAGRID ENABLED ANALYSIS OF NEUROIMAGING DATA

这个子项目是许多研究子项目中的一个 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。 近年来，在神经成像领域的统计和图像分析方法领域有了巨大的发展，这对于功能性磁共振成像（fMRI）尤其重要。正在进行的CNARI项目（计算神经科学和失语症研究基础设施; NIH资助的1 R21 DC 008638 -01）的目标是开发维护，服务和分析大量fMRI数据的方法，并将其应用于失语症恢复的大规模纵向研究。我们还带头研究在神经成像领域使用网格环境进行分布式数据共享和数据分析。我们正在申请MRAC，以支持申请中描述的分析方法。

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. Recent years have witnessed an enormous development in the field of statistical and image analyses methods in the domain of neuroimaging, and this has been particularly important for functional Magnetic Resonance Imaging (fMRI). The aims of the ongoing CNARI project (Computational Neuroscience and Aphasia Research Infrastructure; NIH-funded 1R21DC008638-01) are to develop methods for maintaining, serving, and analyzing massive amounts of fMRI data and to apply them to a large-scale longitudinal study of aphasia recovery. We are also spearheading research in the use of Grid environments for distributed data sharing and data analysis in the domain of neuroimaging. We are applying for an MRAC to support our analysis methods as described in the application.