Hi,
I used 3dQwarp to do non-linear warping during the initial preprocessing. Now, I am trying to transform group ROI back to the original individual space so I can do MVPA analysis on an individual basis.
I read this:
Example of warping +tlrc results back to +orig space of some subject
(get xform matrix, apply it, tell dataset it is not in orig space):
cat_matvec subj1_anat+tlrc::WARP_DATA > tlrc_xform.1D
3dWarp -matvec_out2in tlrc_xform.1D -prefix group_warped+tlrc \
-gridset subj1_epi+orig -cubic group_data+tlrc
3drefit -view orig group_warped+tlrc
But I am not sure if I could use this linear warping since the preprocessing used non-linear warping. What function should I use? Is it 3dNwarpApply? And could you please provide an example?
Thank you!
Kitty
