A modified temporal self-correlation method for analysis of fMRI time series

被引：0
作者：
Yingli Lu
Yufeng Zang
Tianzi Jiang
机构：
[1] Chinese Academy of Sciences,National Laboratory of Pattern Recognition, Institute of Automation
[2] Science,Department of Computer
[3] University of Houston,undefined
来源：
Neuroinformatics | 2003年 / 1卷
关键词：
fMRI; time series; temporal self-correlation; hemodynamic response function; Pearson correlation;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Temporal self-correlation has recently been proposed as a measure for fMRI-activation detection. In this paper, a modified temporal self-correlation method is introduced. The modified temporal self-correlation is based on the expectation value and standard deviation of the correlation coefficients between all pairs of epochs, while the original temporal self-correlation method is only based on the expectation value. Performance of the proposed method is evaluated on both simulated and in vivo fMRI data. Compared with the original temporal self-correlation method, the proposed method shows a significant improvement. In addition, a technique for quantitative comparison of different fMRI data analysis methods is proposed.
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页码：259 / 269
页数：10
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