Dear AFNI experts,
I am using the same code for different datasets and for some datasets the results are in original space (files have the +orig extension), while for some datasets the results seem to be in Talairach space (there are the +tlrc extensions). I am using AFNI 16.2.02 and the code is:
afni_proc.py \
-subj_id $subject \
-script proc.$subject -scr_overwrite \
-regress_opts_3dD -force_TR $TR \
-tcat_remove_first_trs 0 \
-dsets ${path_data}/${subject}_${task}_bold.nii \
-volreg_align_to third \
-regress_polort 2 \
-regress_bandpass 0.01 10 \
-blur_size ${smoothing}.${zero_aux} \
-regress_stim_types AM1 \
-regress_stim_times $stim_times \
-regress_stim_labels activation_stimulus \
-regress_basis ${HRF} \
-regress_make_ideal_sum sum_ideal.1D \
-regress_run_clustsim no \
-regress_est_blur_epits \
-regress_est_blur_errts \
-regress_reml_exec \
-regress_opts_reml -Rwherr whitened_errts.${subject}_REML
Do you have any idea why there might be differences?
Sorry for bothering you!
Best,
Wiktor Olszowy