It is not so easy to do because you have to map the lesions to the
closest cortical voxel then use the per vertex regressor (--pvr) in
mri_glmfit (and the whole process might be iffy). why not just analyze
the lesion load vs mean cortical thickness for an ROI?
On 5/31/18 3:07 PM, Fotiadis, Panagiotis wrote:
Hi Doug,
No worries at all! Thanks for your input, I will go ahead and do that.
In addition to calculating the number of WM hyperintensity voxels in
each adjacent cortical label, I was also interested in creating a
figure depicting the potential significant correlations between
regional WM hyperintensity burden and cortical thinning. Is there a
way to statistically compare two surface maps (i.e., the *h.thickness
surface map and the projected-to-the-cortex WM hyperintensity map) to
come up with such a figure?
Thanks again!
Best,
panos
Panagiotis Fotiadis
Senior Imaging Research Technologist
J. P. Kistler Stroke Research Center, Department of Neurology
Massachusetts General Hospital, Boston, MA
T: (617) 643-3869
------------------------------------------------------------------------
*From:* freesurfer-boun...@nmr.mgh.harvard.edu
<freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of Douglas Greve
<dgr...@mgh.harvard.edu>
*Sent:* Thursday, May 31, 2018 2:54:57 PM
*To:* freesurfer@nmr.mgh.harvard.edu
*Subject:* Re: [Freesurfer] Regional comparisons between cortical
thickness and white matter hyperintensity
sorry, fell through the cracks!
The easier way to do this is to use the wmparc.mgz. This is a
segmentation where the WM is labeled based on the adjacent cortical
label. You can run something like
mri_segstats --i wmhyper.mgz --seg wmparc.mgz --ctab-default
--accumulate --sum sum.dat
The sum.dat will have the number of voxels of wmh in each ROI. There
will be a lot of ROIs in the sum.dat, so you'll have to filter through
them
On 5/31/18 11:30 AM, Fotiadis, Panagiotis wrote:
Hi all,
Just wanted to re-circulate this, just in case someone had some input!
Thanks,
Panos
Panagiotis Fotiadis
Senior Imaging Research Technologist
J. P. Kistler Stroke Research Center, Department of Neurology
Massachusetts General Hospital, Boston, MA
T: (617) 643-3869
------------------------------------------------------------------------
*From:* freesurfer-boun...@nmr.mgh.harvard.edu
<mailto:freesurfer-boun...@nmr.mgh.harvard.edu>
<freesurfer-boun...@nmr.mgh.harvard.edu>
<mailto:freesurfer-boun...@nmr.mgh.harvard.edu> on behalf of
Fotiadis, Panagiotis <pfotia...@mgh.harvard.edu>
<mailto:pfotia...@mgh.harvard.edu>
*Sent:* Friday, May 25, 2018 10:49:10 AM
*To:* freesurfer@nmr.mgh.harvard.edu
<mailto:freesurfer@nmr.mgh.harvard.edu>
*Subject:* [Freesurfer] Regional comparisons between cortical
thickness and white matter hyperintensity
Hello,
I'm interested in looking into the association of cortical thickness
and white matter hyperintensity from a regional perspective.
Specifically, I would like to create a figure that depicts in which
ROIs does cortical thinning correlate significantly with increased
white matter hyperintensity volume of the underlying white matter
(not just the overall white matter hyperintensity). I have created
binary masks of the white matter hyperintensity burden on each
patient, and I was planning on projecting them into
each respective cortex. However, I didn't know what the next step
should be. I was thinking about the group analysis pipeline but
didn't know whether it was applicable, as I don't want to just adjust
for global white matter hyperintensity volume.
Thanks in advance for any help!
Best,
Panos
Panagiotis Fotiadis
Senior Imaging Research Technologist
J. P. Kistler Stroke Research Center, Department of Neurology
Massachusetts General Hospital, Boston, MA
T: (617) 643-3869
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