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Do you mean by using fsl_glm for dti data. For example, I have one group of subjects (8 boys v.s. 8 girls) who had annual DTI exam. I have 2-year data. I used 2-factors 2-levels ANOVA design matrix. Fixed effect: gender, age (year) only one year difference, interaction between the two. I used the following command for the randomise.

$ randomise -i all_FA_skeletonised -o tbss -m mean_FA_skeleton_mask -d design.mat -t design.con -e design.grp -f design.fts --T2 -V

Instead of the above command, we can use: fsl_glm -i all_FA_skeletonised -o tbss -m mean_FA_skeleton_mask -d design.mat -t design.con -e design.grp -f design.fts

What do you mean by output COPEs?

yingying

>>> Stephen Smith <[log in to unmask]> 10/6/2011 2:46 PM >>>
Hi - you can use fsl_glm and tell it to output COPEs….

Cheers

On 6 Oct 2011, at 17:35, Arnold Evia wrote:

Hello,

I am an undergraduate student using TBSS for research.
I have been using TBSS, and getting great results.
However, when it comes to statistical analysis using randomise, is there a way to find the estimated parameters after permutations?

The estimated parameters that I am referring to are the parameters in the general linear model.
Y=XB+n, where X is the design matrix input and B is the matrix of estimated parameters (the information I am looking for).

Thanks in advance,

Arnold Evia

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