MODEL FREE ANALYSIS OF FUNCTIONAL IMAGING OF ACUPUNCTURE

这个子项目是许多研究子项目中利用 资源由NIH/NCRR资助的中心拨款提供。子项目和 调查员(PI)可能从NIH的另一个来源获得了主要资金， 并因此可以在其他清晰的条目中表示。列出的机构是 该中心不一定是调查人员的机构。 功能磁共振成像的使用已经被应用于许多大脑系统，如语言、感觉(运动、视觉)、疼痛，以及更高水平的认知功能，如记忆或空间注意。通常，有一种已知的实验模型(即受试者在适当的时间移动手指)；然而，在针灸的情况下，这可能不适用。针刺的存在有已知的模型，但大脑的反应可能不同。这种反应可能因主题不同而不同。我们建议使用主成分分析和独立成分分析相结合的方法来识别视觉系统针灸的初级大脑反应。这些实验拥有大量时间点(500)的大量体素(64x64x32)，这使得在标准计算硬件上进行分析变得困难。此外，我们计划调查独立成分是如何在一组受试者中相互作用的，以确定针灸的基于人群的时间进程。我们寻求使用超级计算资源(存储、处理和内存)来进行大规模的针灸内部和跨受试者反应分析，这是通过使用国家补充和替代医学中心的NIH资金收集的功能磁共振测量得出的。

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. The use of functional MRI has been applied to a number of brain systems such as language, sensory (motor, visual), pain, and higher level cognitive functions such as memory or spatial attention. Typically, there is a known model of the experiment (i.e. the subject moves their fingers at the appropriate time); however, in the case of acupuncture this may not hold true. There is known model of the presence of the needling but the brains response may differ. This response may be variable from subject to subject. We are proposing to use a combination of principal components analysis followed by independent component analysis to identify the primary brain responses to acupuncture of the visual system. These experiments have a large number of voxels (64x64x32) for a large number of time points (500) making this analysis difficult on standard computational hardware. Furthermore, we plan to investigate how the independent components interact across a population of subjects to identify the population-based time course of acupuncture. We seek the use of the super-computing resources (storage, processing and memory) to conduct our large scale analysis of within and across subject responses to acupuncture as measured by functional MRI collected using NIH funds from the National Center for Complementary and Alternative Medicine.