and one point of clarification: i only care about beta weights for each condition of interest, so i don't care that -taskreg would only run an F-test for significance maps and wouldn't give me t maps for each regressor of interest.


thanks again,
alex

On Sun, Sep 14, 2014 at 1:55 PM, Alex Kell <alexkell@mit.edu> wrote:
hi freesurfers,

i would like to use an empirically derived HRF with mkanalysis-sess.  i have derived the HRF i want [via an FIR model], but it's not obvious how i can use my custom HRF with mkanalysis-sess.  

one option, it seems, is to feed in my own regressors with the -taskreg flag and then not supply the model with any other regressors of interest.  i'd just convolve stick regressors that have the appropriate timing with my own HRF.  but this would only work if selxavg3-sess does NOT convolve task regressors with the HRF.  

so two questions:

1. is the -taskreg flag the best way to do this?  is there another, better way?

2. does selxavg3-sess convolve task regressors with the HRF?


thanks,
alex