Hello AFNIfam,
Apologies if this question has already been asked; I have had trouble finding any sort of documentation for this question.
We've generated a 3dMEMA file according to example 1 in the -help file. If I'm correct this whole brain models asks the question "where in the brain is effect > 0" by using the b and t values. If we have an ROI-based hypothesis, what is the proper way to use 3dMEMA output to answer the question "is effect > 0 for this ROI"? Some ideas we had:
1. Mask 3dMEMA on the ROI rather than a group anatomical ROI and then use the AFNI GUI to look for significant signal in the ROI
2. Extract betas from the 3dMEMA output using 3dROIstats and then run a post-hoc t-test.
But both of these seem inefficient and a bit...post-hoc-y. Is there a way to do this in the box with 3dMEMA? Any help with this would be greatly appreciated!
Here's our 3dMEMA specification:
3dMEMA -prefix gain_ei \
-set gain_ei \
sub-001 /data1/psychology/narps/results/sub-001/stats.sub-001_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-001/stats.sub-001_REML+tlrc'[Trial#1_Tstat]' \
sub-002 /data1/psychology/narps/results/sub-002/stats.sub-002_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-002/stats.sub-002_REML+tlrc'[Trial#1_Tstat]' \
sub-003 /data1/psychology/narps/results/sub-003/stats.sub-003_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-003/stats.sub-003_REML+tlrc'[Trial#1_Tstat]' \
sub-004 /data1/psychology/narps/results/sub-004/stats.sub-004_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-004/stats.sub-004_REML+tlrc'[Trial#1_Tstat]' \
sub-005 /data1/psychology/narps/results/sub-005/stats.sub-005_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-005/stats.sub-005_REML+tlrc'[Trial#1_Tstat]' \
sub-006 /data1/psychology/narps/results/sub-006/stats.sub-006_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-006/stats.sub-006_REML+tlrc'[Trial#1_Tstat]' \
sub-008 /data1/psychology/narps/results/sub-008/stats.sub-008_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-008/stats.sub-008_REML+tlrc'[Trial#1_Tstat]' \
sub-009 /data1/psychology/narps/results/sub-009/stats.sub-009_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-009/stats.sub-009_REML+tlrc'[Trial#1_Tstat]' \
sub-010 /data1/psychology/narps/results/sub-010/stats.sub-010_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-010/stats.sub-010_REML+tlrc'[Trial#1_Tstat]' \
sub-011 /data1/psychology/narps/results/sub-011/stats.sub-011_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-011/stats.sub-011_REML+tlrc'[Trial#1_Tstat]' \
sub-013 /data1/psychology/narps/results/sub-013/stats.sub-013_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-013/stats.sub-013_REML+tlrc'[Trial#1_Tstat]' \
sub-014 /data1/psychology/narps/results/sub-014/stats.sub-014_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-014/stats.sub-014_REML+tlrc'[Trial#1_Tstat]' \
sub-015 /data1/psychology/narps/results/sub-015/stats.sub-015_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-015/stats.sub-015_REML+tlrc'[Trial#1_Tstat]' \
sub-016 /data1/psychology/narps/results/sub-016/stats.sub-016_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-016/stats.sub-016_REML+tlrc'[Trial#1_Tstat]' \
sub-017 /data1/psychology/narps/results/sub-017/stats.sub-017_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-017/stats.sub-017_REML+tlrc'[Trial#1_Tstat]' \
sub-018 /data1/psychology/narps/results/sub-018/stats.sub-018_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-018/stats.sub-018_REML+tlrc'[Trial#1_Tstat]' \
sub-019 /data1/psychology/narps/results/sub-019/stats.sub-019_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-019/stats.sub-019_REML+tlrc'[Trial#1_Tstat]' \
sub-020 /data1/psychology/narps/results/sub-020/stats.sub-020_REML+tlrc'[Trial#1_Coef]' /data1/psychology/narps/results/sub-020/stats.sub-020_REML+tlrc'[Trial#1_Tstat]' \
-mask narps_group_3_7+tlrc \
-missing_data 0 \
-no_residual_Z \
-no_model_outliers
