Thanks.
Only for I quick check of my understanding, if I'm using:
FSGD File (g1v1.fsgd)
GroupDescriptorFile 1
Title OSGM
Class Main
Variables Age
Input subject1 Main 30
Input subject2 Main 40
.....
A) Contrast 1 (intercept.mtx) 1 0
B) Contrast 2 (slope.mtx) 0 1
Considering that my goal is to obtain a map reporting the significant clusters where the FC is positively/negatively associated with Age, is this contrast exact? Or it shows the clusters where la FC between seed and target regions is significant, regressing out the Age? This second case in not of my interest.
Please suggest a way to reach the first case.
Thanks
Stefano
Il 5 febbraio 2018 alle 18.27 Douglas Greve <greve@nmr.mgh.harvard.edu> ha scritto:If you have one class and two variables, then [0 1 0] and [0 0 1]
On 2/4/18 10:23 AM, stdp82@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 <greve@nmr.mgh.harvard.edu> ha scritto:
On 2/2/18 7:47 AM, stdp82@virgilio.it wrote:CorrectHi 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.
Yes (and the main)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 regressing out 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.
Thanks
Stefano
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