Hi, there,
I use Feat for fMRI analysis. I have some questions.
suppose the folder for all experimental data is ~/exp1/, the fMRI data file is
a.{hdr,img} with voxel resolution 3.3*3.3*3mm
(1)After running feat preprocessing, i find a file filtered_func_data.nii.gz
in ~/exp1/a.feat. I'm wondering whetehr this is the file after temporal
filtering, and before registration (normalize to MNI space).
(2) I check the file filtered_func_data.nii.gz. Its voxel resolution is same
as the orginal fMRI file, and different from MNI template image. It seems
feat filter the data before normalization. In SPM, you first realign,
normalize, and smooth the original image data, then model the preprocessed
data as a time series; and use AR(1) to adjust data. My question is which
method is better?
Thanks,
Ron
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