It is voodoo to do the same test that you used to generate the cluster
(or have a graph that implies such a test). If you want to do a post-hoc
test, that is totally fair. Eg, if you do an unsigned test between the
two groups, you could then go back and do a signed test on the extraction.
On
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Hi Douglas,
That's good to know its still a form of voodoo correlation. If researchers
wanted to avoid this, when looking for an interaction effect in a DODS
model with a continuous variable yet still wanted to know the direction of
the relationships
Right, the ocn.dat files have data that is uncorrected in that sense and might
need to nuisance factors removed before plotting. There is a design matrix in
there (Xg.dat). You can load that into matlab along with the ocn.dat, compute
beta = inv(X'*X)*(X'*ocn) to get the betas. You can then
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Hi Douglas, thanks for your response.
>They should not, but the reason it fairly convoluted. When you get a
>cluster after running mri_glmfit-sim, that cluster is on fsaverage which
>is an average of 40 subjects. The area of a vertex is computed as
On 9/3/19 12:05 PM, cody samth wrote:
>
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>
> Hello,
>
> I have a question regarding how to graph results that came from a
> vertex wise analysis using the command mri_glmfit and mri_glmfit-sim.
>
> I was interested in investigating an interaction effect
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Hello,
I have a question regarding how to graph results that came from a vertex
wise analysis using the command mri_glmfit and mri_glmfit-sim.
I was interested in investigating an interaction effect between groups and
my variable of interest
