Hi AFNI experts,
We preprocessed task fMRI images and fit the GLM at the individual level. When we check the statistical maps for each condition at the individual level (p < .001), some statistical maps seem not to align the anatomical images very well. For example, in the attached files which belong to the visual condition, children just passively view the characters presented on the screen. A large proportion of "activated" voxels lay outside of the brain. We also tried
-giant_move option but it did not help a lot. Do you have any ideas to fix this?
Xin
The afni_proc.py cmd we used.
afni_proc.py -subj_id s0 -script proc.av -blocks despike tshift align tlrc \
volreg blur mask scale regress -copy_anat \
/Volumes/ana_SG/audvis/afni/ana/${subj}/anat/${subj}.anat+orig \
-anat_has_skull yes -dsets \
ana/${subj}/func/${subj}.run1+orig.HEAD \
ana/${subj}/func/${subj}.run2+orig.HEAD \
ana/${subj}/func/${subj}.run3+orig.HEAD \
ana/${subj}/func/${subj}.run4+orig.HEAD \
-tcat_remove_first_trs 0 -align_opts_aea -cost lpc+ZZ -big_move \
-tlrc_base MNI152_T1_2009c+tlrc -tlrc_NL_warp -volreg_align_to \
MIN_OUTLIER -volreg_align_e2a -volreg_tlrc_warp -blur_size 8 \
-regress_stim_times ****.1D \
-regress_stim_labels phon_A phon_V phon_AVC phon_AVI char_A char_V \
char_AVC char_AVI -regress_basis 'BLOCK(20.8,1)' -regress_censor_motion \
2 -regress_censor_outliers 0.10 -regress_motion_per_run \
-regress_make_ideal_sum sum_ideal.1D -regress_opts_3dD -num_glt 4 \
-gltsym 'SYM: phon_AVC -phon_AVI' -glt_label 1 phon_con -gltsym 'SYM: \
char_AVC -char_AVI' -glt_label 2 char_con -gltsym 'SYM: phon_AVC \
-phon_A -phon_V' -glt_label 3 phon_supadd -gltsym 'SYM: char_AVC \
-char_A -char_V' -glt_label 4 char_supadd -jobs 2 \
-regress_est_blur_epits -regress_est_blur_errts -regress_run_clustsim no