Thank you!
On Thu, Mar 21, 2013 at 10:56 AM, Douglas N Greve wrote:
> Yes, the average thickness over the cluster for each subject.
> doug
>
> On 03/21/2013 01:54 PM, Laura M. Tully wrote:
>
>> Thanks - one last clarification: just to confirm - the values of
>> thickness.ocn.y.dat (i.e. analys
On 03/21/2013 01:11 PM, Laura M. Tully wrote:
> yes the input is area - so to clarify, in order to get the average
> area for each subject in that cluster I would multiply each subject's
> values in the xxx.ocn.y.dat file by the number of vertices in the
> cluster (denoted as NVtxs in the clust
yes the input is area - so to clarify, in order to get the average area for
each subject in that cluster I would multiply each subject's values in the
xxx.ocn.y.dat file by the number of vertices in the cluster (denoted as
NVtxs in the cluster summary?) e.g. 0.761374 * 998 = 759.85mmsq?
Does the s
Hi Laura, I assume the input is area? Then this will compute the average
area of each vertex. The area of a vertex is the average area of the
triangles around it. To get total area, you can multiple the number that
you get from xxx.ocn.y.dat by the number of vertices in the cluster.
doug
ps. W
hi Doug,
A follow up question: when I look at the xxx.ocn.y.dat for a cluster where
group differences in surface area have been identified the values are all
less than 1 (e.g. 0.761374) even though the cluster size is reported as 680
mmsq. does the y value correspond to .76 mmsq average area for t
They are the input (mri_glmfit --y y.mgh) averaged over the clusters.
They are raw input, no detrending.
doug
On 03/20/2013 05:16 PM, Laura M. Tully wrote:
> Hello experts,
>
> could someone clarify for me what the y values in the xxx.ocn.y.dat
> files represent following glmfit-sim? are they the
Hello experts,
could someone clarify for me what the y values in the xxx.ocn.y.dat files
represent following glmfit-sim? are they the residualized y values of avg
cortical thickness in that specific cluster after regressing out the effect
of any predictor variables in the glm?
Thanks!
Laura.
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