Sliding window approach for analyzing fMRI time series

Tianhu Lei · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998

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.

Read the paper · More papers on PaperTik