History of AFNI updates  

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February 05, 2004 01:25PM
You will probably find that there is no collinearity in this baseline model. Even the r=1 case, f1(t)=cos(PI*(t-t0)/(tN-t0)) is not a linear function, which the -polort 1 default baseline creates.

However, although t and f1(t) are linearly independent, they are fairly similar. So it would make sense to use -polort 0 to have the builtin baseline model reduced to just a constant. This would reduce the chance of numerical problems from near-collinearity.

Have you tried this method with 3dDeconvolve yet? I'm curious to hear your results. If there is a problem, you could reduce the set to a smaller basis using some sort of PCA.

Also, you can use the little-known AFNI program 1deval to calculate these additional baseline time series.

Zorkon the Magniloquent

Subject Author Posted

baseline model colinearity

giuseppe pagnoni February 05, 2004 12:26PM

Re: baseline model collinearity and highpass filtering

bob cox February 05, 2004 01:25PM

Re: baseline model collinearity and highpass filtering

giuseppe pagnoni February 05, 2004 02:37PM