Hi Caspar, it adds them as regressors in the design matrix, which is similar to applying them to both the data and the predictors. When you look at the partial correlation coefficient (pcc), then this is exactly the same. doug

On 09/24/2012 11:24 AM, Caspar M. Schwiedrzik wrote:

Hi all, when specifying -hpf and -polyfit in mkanalysis-sess, I understand that fourier pairs and polynomials are implemented in the design matrix. I was wondering whether the filtering is also applied to the predictors? I am doing a seed-based resting state analysis and applying the filters to the data and the predictor should improve the fit. If not what would be the easiest way to apply them to the predictors, too? Thanks, Caspar

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