Wavelet ANOVA and fMRI

Jonathan Raz; Bruce I. Turetsky

doi:10.1117/12.366814

26 October 1999 Wavelet ANOVA and fMRI

Jonathan Raz, Bruce I. Turetsky

Proceedings Volume 3813, Wavelet Applications in Signal and Image Processing VII; (1999) https://doi.org/10.1117/12.366814
Event: SPIE's International Symposium on Optical Science, Engineering, and Instrumentation, 1999, Denver, CO, United States

Abstract

We propose Wavelet ANOVA, a simple general-purpose statistical method for analysis of signals and images. We emphasize the application of the method to functional magnetic resonance imaging (fMRI). Wavelet ANOVA combines the false discovery rate approach to multiple comparisons with block wavelet thresholding and linear statistical models. We discuss the relationship of Wavelet ANOVA to a similar method of Ruttimann, et al. We illustrate the application of Wavelet ANOVA to analysis of an fMRI data set.

Citation Download Citation

Jonathan Raz and Bruce I. Turetsky "Wavelet ANOVA and fMRI", Proc. SPIE 3813, Wavelet Applications in Signal and Image Processing VII, (26 October 1999); https://doi.org/10.1117/12.366814

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