Hi FSL crew,

Im doing a three group comparison using a one level three factors model.
I used the one factor four levels example as my guide to create my model. So
I have right now that EV1 fits condition C (it is the only nonzero EV during
condition D). EV2 fits A relative to this, i.e. represents A-C. The F-test
then tests for any deviation - ie any difference between the levels. I also
included demeaned age, sex and handedness as covariates.

I am using randomise with the same parameters I used running Feat for the
same data-set only adding a mask. Here is the randomise settings I have been
using:


randomise -i cope1.feat/filtered_func_data.nii.gz -o
random_results_3groups_MASK-enc -d design.mat -t design.con -f design.fts -m
final_mask_WM-10mm.nii.gz -v 6 -T -V -n 100

After I have been running this I obtain different results compared to Feat
although I am using the same design matrix and contrasts. I wondered why
could that be? Also I have a question related to the output of randomise
when usig the -T option which is meant to carry out Threshold-Free Cluster
Enhancement. When I do this I obtain files with the following
characteristics:

_tfce_corrp_tstat1.nii.gz
_tfce_p_tstat1.nii.gz
_tstat1.nii.gz

I am sure the corrp_tstat files are the corrected output of my data than
then I can treshold at min 0.95 max 1 for a P<0.05. I just wanted to confirm
this and then see what the others files output is. Thank you very much for
your help as usual.

Best wishes




--
Andres