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fMRI time series analysis based on stationary wavelet and spectrum analysis
Zhi LH(支联合); ZHAO,Xia; Dan BC(单保慈); PENG,Silong; YAN,Qiang; YUAN,Xiuli; TANG,Xiaowei; Yan Q(闫强); Yuan XL(袁秀丽); Tang XW(唐孝威)
2006
Source PublicationProgress in Natural Science
Issue11Pages:1171-1176
Corresponding Author单保慈
AbstractThe low signal to noise ratio (SNR) of functional MRI (fMRI) prefers more sensitive data analysis methods. Based on stationary wavelet transform and spectrum analysis, a new method with high detective sensitivity was developed for analyzing fMRI time series, which does not require any prior assumption of the characteristics of noises. In the proposed method, every component of fMRI time series in the different time-frequency scales of stationary wavelet transform was discerned by the spectrum analysis, then the components from noises were removed using the stationary wavelet transform, finally the components of real brain activation were detected by cross-correlation analysis. The results obtained from both simulated and in vivo visual experiments illustrated that the proposed method has much higher sensitivity than the traditional cross-correlation method.
KeywordfMRI  stationary wavelet transform  spectrum analysis  data analysis.
Document Type期刊论文
Identifierhttp://ir.ihep.ac.cn/handle/311005/214864
Collection院士
粒子天体物理中心
Recommended Citation
GB/T 7714
Zhi LH,ZHAO,Xia,Dan BC,et al. fMRI time series analysis based on stationary wavelet and spectrum analysis[J]. Progress in Natural Science,2006(11):1171-1176.
APA 支联合.,ZHAO,Xia.,单保慈.,PENG,Silong.,YAN,Qiang.,...&唐孝威.(2006).fMRI time series analysis based on stationary wavelet and spectrum analysis.Progress in Natural Science(11),1171-1176.
MLA 支联合,et al."fMRI time series analysis based on stationary wavelet and spectrum analysis".Progress in Natural Science .11(2006):1171-1176.
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