Hi Patricia, The F-test is bi-directional so you don't need to include the negative contrasts. You need to include the f-contrasts file with -f as well as the t-contrasts file with -t. Kind Regards Matthew > Hello Mark, > > thank you very much for your answer. I am not very sure what do you mean when you say "include one F-test that consisted of t-contrasts 1, 3 and 5." Does it mean that my contrast are allright but i have to include option F-test=1 and mark t contrast 1, 3 and 5? Why only these contrast? > > On the other way, should my randomise command be different than: > > randomise -i all_FA_skeletonised.nii -m mean_FA_skeleton_mask.nii -o resultados_TBSS -d matriz.mat -t matriz.con -n 5000 --T2 -V > > -t option in randomise should now be -f because of the F-test analysis? > > Thank you very much, > > Patricia. > > > 2013/1/19 Mark Jenkinson <[log in to unmask]> > Hi, > > If you want a single F-test that checks for any differences then it would be sufficient to use your existing t-contrasts and include one F-test that consisted of t-contrasts 1, 3 and 5. > > All the best, > Mark > > > > On 17 Jan 2013, at 11:42, SUBSCRIBE FSL Patricia Pires <[log in to unmask]> wrote: > > > Dear fsl list, > > > > i have 4 different groups to analize FA index. I performed a Glm matrix: > > > > /Matrix > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > > > And their contrasts: > > > > /Matrix > > 1.000000e+00 0.000000e+00 -1.000000e+00 0.000000e+00 > > -1.000000e+00 0.000000e+00 1.000000e+00 0.000000e+00 > > 1.000000e+00 0.000000e+00 0.000000e+00 -1.000000e+00 > > -1.000000e+00 0.000000e+00 0.000000e+00 1.000000e+00 > > 1.000000e+00 -1.000000e+00 0.000000e+00 0.000000e+00 > > -1.000000e+00 1.000000e+00 0.000000e+00 0.000000e+00 > > 0.000000e+00 0.000000e+00 1.000000e+00 -1.000000e+00 > > 0.000000e+00 0.000000e+00 -1.000000e+00 1.000000e+00 > > 0.000000e+00 -1.000000e+00 1.000000e+00 0.000000e+00 > > 0.000000e+00 1.000000e+00 -1.000000e+00 0.000000e+00 > > 0.000000e+00 -1.000000e+00 0.000000e+00 1.000000e+00 > > 0.000000e+00 1.000000e+00 0.000000e+00 -1.000000e+00 > > > > > > There are two contrast with significant results when i run randomise: > > > > randomise -i all_FA_skeletonised.nii -m mean_FA_skeleton_mask.nii -o resultados_TBSS -d matriz.mat -t matriz.con -n 5000 --T2 -V > > > > However this procedure has been criticized because there is not a previous overall of results and i am wondering if i first have to do a F-tests: > > > > http://fsl.fmrib.ox.ac.uk/fsl/fslwiki/FEAT/UserGuide#F-Tests > > > > I have to do a F-test first? In that case, what will indicate these results: > > > > - C1: Group A 1 0 0 0 > > > > (if i found results here, e.g. cluster --in=resultados_FA_mean_FA_skeleton_mask_tfce_corrp_tstat1.nii.gz --thresh=0.95), would this indicating Group A differ from other groups and then i could finally do my first procedure? Or it is not necessary this first F-test analysis? > > > > Thanks in advance, > > > > Patricia. >