Ok, thanks. Anyway, like I wrote before, using a polort degree of 2 in combination with bandpassing somehow works much faster, even though the number of baseline funs in detrending remains more or less the same.
My laptop uses ~15 GB of its 32 GB when running AFNI proc for one subject. I think the amount of Ram needed was the same when using the polort option of 34. However, it seemed to never end. I will consequently stick to the polort degree of 2 for this dataset.
