Hi Doug
Yes, this is exactly what I looked for.
Thanks a lot
Cheers
Jürgen
On [DATE], "Douglas N Greve" <[ADDRESS]> wrote:
> Hi Juegen, there will be a file called something like
> cache.th20.abs.y.ocn.dat in the glm output directory. This will be a
> text file with number of columns equal to
Hi Juegen, there will be a file called something like
cache.th20.abs.y.ocn.dat in the glm output directory. This will be a
text file with number of columns equal to the number of significant
clusters (after correction) and number of rows equal to the number of
subjects. The value will be the av
Hi Doug
I correlated a behavioural measure with cortical thickness and surface area
using mri_preroc, mri_surf2surf and mri_glmfit. Now I would like to extract
the individual values of the clusters that correlated with the behavioural
measure.
Because the individual values should be comparable wi
Use "--sval lh.area". Also, why do you want to smooth it before
averaging over the ROI?
doug
On 06/07/2012 01:29 AM, Jürgen Hänggi wrote:
> Hi Doug
>
> This is my command line:
>
> mris_anatomical_stats -a area_left_significant_labels.annot -t lh.area
> -nsmooth 15 -f $s/stats/lh.aparc.a2005s.sta
Hi Doug
This is my command line:
mris_anatomical_stats -a area_left_significant_labels.annot -t lh.area
-nsmooth 15 -f $s/stats/lh.aparc.a2005s.stats $s lh
In the past, you recommended smoothing the data with mri_surf2surf instead
of with mris_anatomical_stats.
For that purpose, I run the follo
what is your command line?
doug
On 6/6/12 5:25 AM, Jürgen Hänggi wrote:
> Dear FS experts
>
> I have done group comparisons wrt thickness and surface area. The
> found clusters were written out as annotations, transformed into each
> individual space, and then the corresponding values were extract
Dear FS experts
I have done group comparisons wrt thickness and surface area. The
found clusters were written out as annotations, transformed into each
individual space, and then the corresponding values were extracted.
When using mris_anatomical_stats, values are different for thickness maps
dep
