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Martin,
Thanks for the feedback. Given our data set (1mm^3 timepoint1 and 0.8mm^3
timepoint 2), what would be the best way to salvage this data and look for
longitudinal changes? Would it be possible to upsample/downsample the
images so that they are
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All,
Is there any way to graphically visualize the segmentations for
SupraTentorialVol and SupraTentorialVolNotVent, for example in freeview or
tkmedit? Based on the descriptions I have read for the supratentorial
values, I want to use them for an
do you want all the non-STV removed? If that, you can create a mask
> of STV using mri_binarize and --match run on the aseg.mgz, then use
> mri_mask aseg.mgz stvmask.mgz aseg-stvonly.mgz
>
>
>
> On 05/30/2018 11:56 AM, James Gullickson wrote:
> >
> >
> > All,
> &g
use
> mri_binarize with the --match option
>
> On 5/31/18 3:27 PM, James Gullickson wrote:
>
> External Email - Use Caution
> Sorry I wasn't clear. Yes, I would like to see it with all the non-STV
> removed, in order to see exactly what the supratentorial segmentation is
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All,
I am interested in using grad_unwarp. I have been reading up on the
documentation a bit and from what I understand not all the necessary files
are distributed with the public version of Freesurfer, due to proprietary
information in the tables.
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All,
I would like to compare cortical thickness between two timepoints.
Timepoint 1 has 1mm^3 data.
Timepoint 2 has 0.8mm^3 data.
I realize that there are limitations with this change in resolution between
timepoints and that no analysis is going to
ompare the whole distribution of
> thicknesses across subject populations. You could do a t-test or
> something
> non-parametric like a Kolmogorov-Smirnov or use permutation testing.
> I'll
> cc Tom Nichols so he can chime in with something more sophisticated
&g
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All,
I am comparing cortical thickness between subjects with and without mild
traumatic brain injury (mTBI). So far the contrasts in QDEC have not been
significant after correcting for multiple comparisons. I am not necessarily
surprised at this due
All,
Just wanted to follow up on this message. Does anyone have recommendations
for the best way to compare this data longitudinally?
Thanks very much,
James
On Thu, Mar 29, 2018 at 1:19 PM, James Gullickson <jgull...@umn.edu> wrote:
> All,
>
> Our lab is working with longitu
All,
Our lab is working with longitudinal (two time points) data from a cohort
of around 130 individuals. We are attempting to make comparisons between
time points 1 and 2 on measures like total brain volume, ventricular
volume, ventricle-brain-ratio, and cortical thickness. However, we have run
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