Hi,

I ran between group resting state functional analyses between two groups of participants. I created three seeds for my regions of interest (left and right M1, left and right IFG, and left and right pSTS).

I started by using this script for pre-processing:
afni_proc.py -subj_id s01.REST \
-dsets s01_rest_EPI.nii \
-copy_anat s01_anat.nii \
-blocks despike tshift align tlrc volreg blur mask regress \
-tcat_remove_first_trs 3 \
-volreg_align_e2a \
-volreg_tlrc_warp \
-regress_anaticor \
-regress_censor_motion 0.2 \
-regress_censor_outliers 0.1 \
-regress_bandpass 0.01 0.1 \
-regress_apply_mot_types demean deriv \
-regress_run_clustsim no \
-regress_est_blur_epits \
-regress_est_blur_errts

I then followed the steps to extract mean time series within each ROI, generated pearson correlation between mean time series an voxels, and then converted a r score to a z score for use in group analyses.

I now want to extract a single mean value of connectivity for each of my subjects between each seed region and the results of the between group analyses. Can somebody please help me?

Thanks so much!!!