Hi all,

I want to do a paired t-test using 3DMEMA for a dataset where each participant was scanned twice (t1, t2). I modeled the data with 3dDeconvolve separately for each participant and each session. In the 3dMEMA example for paired t-tests it seems to me like there is only one beta-coef (B+tlrc) and one t-stat (T+tlrc) BRIK necessary for each subject and contrast:

Example 3 --- Paired type (difference of two regression coefficients or
general linear contrasts from each subject in a group). One scenario of
general linear combinations is to test linear or higher order trend at
individual level, and then take the trend information to group level.
---------------------------------
3dMEMA -prefix ex2 \
-jobs 4 \
-missing_data happyMiss+tlrc sadMiss+tlrc \
-set happy-sad \
ac ac_hap-sad_B+tlrc ac_hap-sad_T+tlrc \
ejk ejk_hap-sad_B+tlrc ejk_hap-sad_T+tlrc \
...
ss ss_hap-sad_B+tlrc ss_hap-sad_T+tlrc \

To me this looks odd becaue I have two timepoints per contrast per subject and I wonder how is this accounted for in the code. Here is an example of my data:

subject 1 subject1_time1_con1_B+tlrc subject1_time1_con1_T+tlrc
subject 1 subject1_time2_con1_B+tlrc subject1_time2_con1_T+tlrc

Can you please advise me on how to organize the data that time is accounted for?

Bests,
Philipp