Analysis of ER-fMRI time series with modified mother wavelet

被引:0
|
作者
Imaeda, S [1 ]
Kobashi, S [1 ]
Kitamura, YT [1 ]
Kondo, K [1 ]
Hata, Y [1 ]
Yanagida, T [1 ]
机构
[1] Univ Hyogo, Grad Sch Engn, Himeji, Hyogo 6712201, Japan
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Investigating the shape and time to peak, called HR delay, of hemodynamic response (HR) gives a novel tool to analyze a human brain function. We have proposed an analysis method for detecting activated areas and measuring HR delay simultaneously. In this paper, we improve the performance of the method by modifying a mother wavelet. The modified mother wavelet is based on mathematically defined HR function by SPM (statistic parametric mapping) software by Friston et al. To evaluate the proposed method, the proposed method and conventional methods are applied to phantom data and human subjects. The results indicated that the proposed method could detect activated areas with equivalent to and more accurately than the conventional methods.
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收藏
页码:849 / 852
页数:4
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