You need to include elements for the PVR regressors in your contrast. I
see that you only have four elements in the examples below and four
classes, so you will need to add more
On 6/9/2021 10:38 AM, std...@virgilio.it wrote:
External Email - Use Caution
Thanks
If I have 4 groups
G
External Email - Use Caution
Thanks
If I have 4 groups
GroupDescriptorFile 1
Title XXX
Class G1
Class G2
Class G3
Class G4
Input subj1 G1
Input subj2 G3
Input subj3 G2
Input subj4 G2
Input subj5 G4
Are the contrasts below corrected?
G1_only_thick 1 0 0 0
G2_only_t
External Email - Use Caution
Thanks
If I have 4 groups
GroupDescriptorFile 1
Title XXX
Class G1
Class G2
Class G3
Class G4
Input subj1 G1
Input subj2 G3
Input subj3 G2
Input subj4 G2
Input subj5 G4
Are the contrasts below corrected?
G1_only_thick 1 0 0 0
G2_only_th
Great news, thank you, Doug!
Best,
aga
On 8/3/11 5:02 PM, "Douglas N Greve" wrote:
>Hi Aga, what you have done is correct, no need to include the pvr in the
>fsgd.
>doug
>
>Burzynska, Aga wrote:
>> Dear all,
>> I am trying to make group level analysis of functional data on the
>>surface and add
Hi Aga, what you have done is correct, no need to include the pvr in the
fsgd.
doug
Burzynska, Aga wrote:
> Dear all,
> I am trying to make group level analysis of functional data on the surface
> and add per-vertex regressors (PVR, here: cortical thickness) into the
> design. When I view the r
Dear all,
I am trying to make group level analysis of functional data on the surface and
add per-vertex regressors (PVR, here: cortical thickness) into the design. When
I view the results I have the feeling that the PVR is not really included in
the model:
I am using the command:
mri_glmfit --