Sorry for not providing more info. I was trying to transform a functional dataset ("glm_perc+orig"; which is signal-percent-converted 3dDeconvolve output) to an MNI-transformed anatomical brain ("T1high_MNI152+tlrc), using 1) @auto_tlrc and 2) adwarp with the following commands:
1) @auto_tlrc -apar T1high_MNI152+tlrc -input glm_perc+orig -suffix _auto -dxyz 2
2) adwarp -apar T1high_MNI152+tlrc -dpar glm_perc+orig -prefix glm_perc_adwarp -dxyz 2
If you compare these two dataset by 3dinfo (see below), the one with adwarp has a larger range of numbers. Accordingly, their thersholded maps look, not too much, but visisbly different. I'd like to know why this happens because I thought they were comparable, and more importantly which command I should use. Any help would be greatly appreciated.
1) Dataset File: glm_perc_auto+tlrc
-- At sub-brick #2 'Mean' datum type is float: -15.5193 to 18.0667
keywords = negenh_auc_perc+orig[0]
-- At sub-brick #3 'Mean' datum type is float: -9.76694 to 18.0643
keywords = negmain_auc_perc+orig[0]
-- At sub-brick #4 'Mean' datum type is float: -11.9342 to 18.5177
keywords = negsup_auc_perc+orig[0]
-- At sub-brick #5 'Mean' datum type is float: -10.5658 to 24.4
keywords = neumain_auc_perc+orig[0]
-- At sub-brick #6 'Mean' datum type is float: -8.7958 to 10.6976
keywords = negenh-negmain_auc_perc+orig[0]
-- At sub-brick #7 'Mean' datum type is float: -4.45591 to 7.50011
keywords = negmain-negsup_auc_perc+orig[0]
-- At sub-brick #8 'Mean' datum type is float: -9.84474 to 16.4419
keywords = negenh-negsup_auc_perc+orig[0]
-- At sub-brick #9 'Mean' datum type is float: -7.79669 to 8.48693
keywords = negmain-neumain_auc_perc+orig[0]
-- At sub-brick #10 'Mean' datum type is float: -30.5662 to 48.5675
keywords = neg_mean_auc_perc+orig[0]
-- At sub-brick #11 'Mean' datum type is float: -29.2646 to 34.7188
keywords = neg-neu_auc_perc+orig[0]
2) Dataset File: glm_perc_adwarp+tlrc
-- At sub-brick #2 'Mean' datum type is float: -25.6328 to 39.3326
keywords = negenh_auc_perc+orig[0]
-- At sub-brick #3 'Mean' datum type is float: -25.4464 to 43.5906
keywords = negmain_auc_perc+orig[0]
-- At sub-brick #4 'Mean' datum type is float: -23.5137 to 51.5265
keywords = negsup_auc_perc+orig[0]
-- At sub-brick #5 'Mean' datum type is float: -32.4269 to 52.8692
keywords = neumain_auc_perc+orig[0]
-- At sub-brick #6 'Mean' datum type is float: -26.2681 to 34.9091
keywords = negenh-negmain_auc_perc+orig[0]
-- At sub-brick #7 'Mean' datum type is float: -21.6472 to 12.7289
keywords = negmain-negsup_auc_perc+orig[0]
-- At sub-brick #8 'Mean' datum type is float: -29.6455 to 16.7906
keywords = negenh-negsup_auc_perc+orig[0]
-- At sub-brick #9 'Mean' datum type is float: -17.1966 to 11.6313
keywords = negmain-neumain_auc_perc+orig[0]
-- At sub-brick #10 'Mean' datum type is float: -73.7881 to 122.828
keywords = neg_mean_auc_perc+orig[0]
-- At sub-brick #11 'Mean' datum type is float: -48.8055 to 69.9592
keywords = neg-neu_auc_perc+orig[0]
