Hi, pt~
I'm very sorry, here are our afni_proc.py command
#!/bin/bash
# subjNameT=(01)
# for subN in "${subjNameT[*]}"
# do
afni_proc.py -subj_id sub01 -script proc.sub01 -scr_overwrite \
-blocks tshift align tlrc volreg blur mask scale regress -copy_anat \
/media/linux/Z/sub01/to3dfile/T1+orig.HEAD \
-dsets \
/media/linux/Z/sub01/EPI/sub01_haptical_run1+orig.HEAD \
/media/linux/Z/sub01/EPI/sub01_haptical_run2+orig.HEAD \
/media/linux/Z/sub01/EPI/sub01_haptical_run3+orig.HEAD \
/media/linux/Z/sub01/EPI/sub01_haptical_run4+orig.HEAD \
/media/linux/Z/sub01/EPI/sub01_haptical_run5+orig.HEAD \
/media/linux/Z/sub01/EPI/sub01_haptical_run6+orig.HEAD \
/media/linux/Z/sub01/EPI/sub01_haptical_run7+orig.HEAD \
/media/linux/Z/sub01/EPI/sub01_haptical_run8+orig.HEAD \
-tcat_remove_first_trs 0 -align_opts_aea -giant_move -tlrc_base MNI152_2009_template_SSW.nii.gz \
-tlrc_NL_warp \
-tlrc_NL_warped_dsets \
/media/linux/Z/sub01/anat/sub01_SSwarper/anatQQ.sub01.nii \
/media/linux/Z/sub01/anat/sub01_SSwarper/anatQQ.sub01.aff12.1D \
/media/linux/Z/sub01/anat/sub01_SSwarper/anatQQ.sub01_WARP.nii \
-volreg_align_to MIN_OUTLIER -volreg_align_e2a \
-volreg_tlrc_warp -blur_size 4.0 \
-regress_stim_times \
/media/linux/Z/sub01/Stim_time/OpenLeftSmall.txt \
/media/linux/Z/sub01/Stim_time/OpenRightSmall.txt \
/media/linux/Z/sub01/Stim_time/OpenLeftLarge.txt \
/media/linux/Z/sub01/Stim_time/OpenRightLarge.txt \
/media/linux/Z/sub01/Stim_time/GraspLeftSmall.txt \
/media/linux/Z/sub01/Stim_time/GraspRightSmall.txt \
/media/linux/Z/sub01/Stim_time/GraspLeftLarge.txt \
/media/linux/Z/sub01/Stim_time/GraspRightLarge.txt \
-regress_stim_labels OpenLeftSmall OpenRightSmall OpenLeftLarge OpenRightLarge GraspLeftSmall GraspRightSmall GraspLeftLarge GraspRightLarge \
-regress_basis 'BLOCK(12,1)' \
-regress_anaticor \
-regress_reml_exec \
-regress_censor_motion 0.3 \
-regress_motion_per_run \
-regress_opts_3dD \
-gltsym 'SYM: OpenRightSmall -OpenLeftSmall' -glt_label 1 OS_R-L \
-gltsym 'SYM: OpenRightLarge -OpenLeftLarge' -glt_label 2 OB_R-L \
-gltsym 'SYM: GraspRightSmall -GraspLeftSmall' -glt_label 3 GS_R-L \
-gltsym 'SYM: GraspRightLarge -GraspLeftLarge' -glt_label 4 GB_R-L \
-gltsym 'SYM: OpenRightSmall +OpenRightLarge -OpenLeftLarge -OpenLeftSmall' -glt_label 5 O2_R-L \
-gltsym 'SYM: GraspRightSmall +GraspRightLarge -GraspLeftLarge -GraspLeftSmall' -glt_label 6 G2_R-L \
-gltsym 'SYM: GraspLeftSmall +GraspLeftLarge +GraspRightSmall +GraspRightLarge' -glt_label 7 Grasp_all \
-gltsym 'SYM: OpenLeftSmall +OpenLeftLarge +OpenRightSmall +OpenRightLarge' -glt_label 8 Open_all \
-gltsym 'SYM: GraspLeftSmall +GraspLeftLarge +GraspRightSmall +GraspRightLarge +OpenLeftSmall +OpenLeftLarge +OpenRightSmall +OpenRightLarge' -glt_label 9 ALL_all \
-regress_compute_fitts \
-regress_make_ideal_sum \
sum_ideal.1D -regress_est_blur_epits \
-regress_est_blur_errts
and the contents of "out.cormat_warn.txt"
Warnings regarding Correlation Matrix: X.xmat.1D
severity correlation cosine regressor pair
-------- ----------- ------ ----------------------------------------
medium: -0.486 -0.485 (32 vs. 169) OpenLeftSmall#0 vs. mot_demean_r02[3]#0
medium: 0.475 0.474 (127 vs. 202) GraspRightSmall#15 vs. mot_demean_r08[0]#0
medium: 0.466 0.464 (127 vs. 203) GraspRightSmall#15 vs. mot_demean_r08[1]#0
medium: -0.459 -0.458 (96 vs. 192) GraspLeftSmall#0 vs. mot_demean_r06[2]#0
medium: -0.454 -0.453 (103 vs. 194) GraspLeftSmall#7 vs. mot_demean_r06[4]#0
medium: 0.438 0.437 (63 vs. 178) OpenRightSmall#15 vs. mot_demean_r04[0]#0
medium: -0.436 -0.435 (96 vs. 190) GraspLeftSmall#0 vs. mot_demean_r06[0]#0
medium: -0.423 -0.422 (96 vs. 195) GraspLeftSmall#0 vs. mot_demean_r06[5]#0
medium: -0.418 -0.417 (151 vs. 186) GraspRightLarge#7 vs. mot_demean_r05[2]#0
medium: 0.414 0.413 (39 vs. 168) OpenLeftSmall#7 vs. mot_demean_r02[2]#0
medium: 0.411 0.410 (104 vs. 198) GraspLeftSmall#8 vs. mot_demean_r07[2]#0
Thanks,
Qianqian Wu