Sliding window approach for analyzing fMRI time series

Tianhu Lei

doi:10.1117/12.312578

3 July 1998 Sliding window approach for analyzing fMRI time series

Tianhu Lei

Proceedings Volume 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images; (1998) https://doi.org/10.1117/12.312578
Event: Medical Imaging '98, 1998, San Diego, CA, United States

Abstract

Approach reported in this paper uses a sliding (rectangular) window on the original fMRI scans to produce the new scans. By selecting parameters of sliding windows, autocorrelation function (acf) among new scans can be reduced to a predicted level, and fMRI analysis will be performed on these new scans. Theoretical analysis showed that this level is 1/k (k is the window size). Simulations by using different window structures verified this conclusion and the graphic illustration provides an intuitive explanation.

Citation Download Citation

Tianhu Lei "Sliding window approach for analyzing fMRI time series", Proc. SPIE 3337, Medical Imaging 1998: Physiology and Function from Multidimensional Images, (3 July 1998); https://doi.org/10.1117/12.312578

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