External Email - Use Caution
Hi Freesurfer experts,
I'm very sorry to bother you, but I am very confused with the
following questions:
My experimental design includes two discrete factors:
with three levels (d,m,h); gender (f, m), and two Nvariables
So I can
Do you mean the difference between the d,m,h classes? If so, it would be
1 1 -1 -1 0 0 (rest all 0s)
1 1 0 0 -1 -1 ...
0 0 1 1 -1 -1 ...
On 4/14/2022 9:50 AM, David wrote:
External Email - Use Caution
Hi Freesurfer experts,
I'm very sorry to bother you, but I am very confused
External Email - Use Caution
Hi Freesurfer experts,
I'm very sorry to bother you, but I am very confused with the
following questions:
My experimental design includes two discrete factors:
with three levels (d,m,h); gender (f, m), and two Nvariables
So I can
Have you seen this tutorial?
https://surfer.nmr.mgh.harvard.edu/fswiki/FsTutorial/MultipleComparisonsV6.0Perm
it uses permutation (which does not work with weighted least squares),
but you could change it to use the old monte carlo stuff.
On 7/29/19 2:15 PM, FAST Study wrote:
>
> Externa
I would say yes, but I've seen plenty of pubs that do not correct. The
bonferroni correction is fine. You could also try FDR (though on 4
points it might not make much sense).
On 01/10/2017 01:47 PM, neuroimage analyst wrote:
> Hi,
>
> I extracted thalamic, caudate, and putamen volume (left hem
Hi,
I extracted thalamic, caudate, and putamen volume (left hemisphere), and
cingulate thickness (right hemisphere) from freesurfer's parcellation. Then
I compare these volumes and thickness across two groups using R and found
significant differences in these measurements. Do I have to correct for
Hi,
I have performed a linear mixed model analysis on surface data in AFNI using
SUMA, resulting in each vertex having a p value. I would like to perform a
multiple comparison correction using freesurfer, as an FDR approach in AFNI
is to stringent (individual vertex statistical thresholds are low)
