Hi Antonella,

> I will appreciate a lot if you can help me understand what is the meaning of 
> the results after running after running mri_cvs_register and the GLM group 
> analysis.
> 
> More exactly, I followed all the instructions from the webpage:
> 
> http://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/Diffusion
> 
> and I wonder if based on the cluster's colours I can say something about my 
> FA values in one group related to the other one.
> 
> More exactly I am looking to understand if I have an increase in the FA value 
> for the controls versus patients or the FA in patients is larger than in the 
> control group.
> 
> My contrast matrix is C = [+1.00000 -1.00000 ] and I have 30 controls and 32 
> patients.

I am not sure how to comment on your outcomes as I don't know anything 
about your data. However, the diffusion tutorial that we put together is 
a very top-level roadmap on how one might go about voxel-based analysis 
of their diffusion data. It is not complete in a sense that you would 
want to make sure that there is some further processing done on your data 
sets before you start interpreting the results. One is that you would 
want to introduce a white matter mask that will ensure that you are only 
considering diffusion values in the white matter and then also you would 
want to correct for multiple comparison running mri_glmfit-sim. We are 
planning on updating this tutorial further for our next course to reflect 
all these additional steps.

> What is the age range for the cvs_avg35 space? I wonder if is the best space 
> to register my subjects if they are children with age between 6-14.

The atlas was constructed from 35 adults, consisting of males and females 
ages 18 to 93.

We have been successul registering pediatric images also in that space, 
but the outcome will also depend on the quality of your images.

--Lilla
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