RV-coefficient and its significance test in mapping brain functional connectivity

	RV-coefficient and its significance test in mapping brain functional connectivity
	Zhanga, Hui; Tian, Jie; Lib, Jun; Zhaob, Jizheng
	2009
会议名称	Progress in Biomedical Optics and Imaging - SPIE
会议录名称	Progress in Biomedical Optics and Imaging - SPIE
会议日期	2009
会议地点	Lake Buena Vista, Florida
摘要	The statistic of RV-coefficient is a good substitute for the Pearson correlation coefficient to measure the temporal similarity of two local brain regions. However, the hypothesis test of RV-coefficient is a hard problem which limits its application. This paper discussed the problem in details. Since the distribution of RV-coefficient is unknown, we do not know a critical p-value to statistically test its significance. We proposed a new strategy to test the significance of RV calculated from fMRI. In order to approximate the p-value, we elicited the first two moments of the population permutation distribution of RV; we then derived a formula to more closely approximate the normal distribution with these transformed statistics. These transformations of statistics are suggested for a precise approximation to the permutational p-value even under large number of observations. This strategy of test can greatly reduce the computational complexity and avoid “calculation catastrophe”, we then use the statistic of RV to extract the map of functional connectivity from fMRI and test its significance with the strategy proposed here.
关键词	Rv-coefficient Permutation Test Bold-fmri Functional Connectivity
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/5442
专题	中国科学院分子影像重点实验室
通讯作者	Tian, Jie
推荐引用方式 GB/T 7714	Zhanga, Hui,Tian, Jie,Lib, Jun,et al. RV-coefficient and its significance test in mapping brain functional connectivity[C],2009.

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