If you have one class and two variables, then [0 1 0] and [0 0 1]
On 2/4/18 10:23 AM, std...@virgilio.it wrote:
I would like to find where the functional connectivity is correlated
to VARIABLE 1 regressing out the VARIABLE 2.
How I should set my contrast.mtx?
Thanks
Stefano
Il 3 febbraio 2018 alle 19.57 Douglas Greve
<gr...@nmr.mgh.harvard.edu> ha scritto:
On 2/2/18 7:47 AM, std...@virgilio.it <mailto:std...@virgilio.it> wrote:
Hi list,
in reference to One Group (One Factor), Two Covariates
https://surfer.nmr.mgh.harvard.edu/fswiki/Fsgdf1G2V#Contrast2age.mtx
that has been applied on FS-FAST fcMRI data
I obtain three folder, respectively, for "main", "covariate 1",
"covariate 2".
What's meaning the sig.nii.gz that it is produced by mri_glmfit in
each folder?
Please correct my conclusions if they are wrong.
1 - In the "Main" folder, the sig.nii.gz contains the results of
One-sample t test regressing out the effect of the two covariates.
Correct
2 - In the "Covariate 1" folder, the sig.nii.gz contains the
significant cluster that are associated with the covariate 1
regressing out the effect for the covariate 2.
Yes (and the main)
3 - In the "Covariate 2" folder, the sig.nii.gz contains the
significant cluster that are associated with the covariate 2
regressing out the effect for the covariate 1.
Yes (and regressing out the main)
Thanks
Stefano
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