Hi Anastasia,
An independent T-test on the aseg.stats "WM-Hypointensties" (SegId
77) showed that the
mean WM hypointensities volume of the patient group (1378.8mm3, SD
650mm3) did not
significantly differ from the controls (1120.8mm3, SD 372mm3;
p=.111). A Pearson and
Spearman correlation analysis found no correlation of WMH volume with
tract volumes
but did find a correlation with FA in three of the nine tracts of
interest (Forceps
minor, left ATR, left ILF). I reviewed the T2-FLAIRs for the subjects
with the highest
volumes of WM lesions and they were all dirty-appearing white matter
around the
ventricles rather than punctate WMH within the regions of these
tracts.
The tracts look reasonable in FreeviewŠ <scratching head>
Sean
On 4/04/13 7:17 AM, "Anastasia Yendiki"
<ayend...@nmr.mgh.harvard.edu> wrote:
Hi Sean - Can you check their freesurfer aseg's and see if any of the
white matter was classified as a hypointensity there?
a.y
On Wed, 3 Apr 2013, Sean Hatton wrote:
This is Tracula 5.2 with FLIRT and the vectors are correctly
aligned
(V1 over FA).
From the literature and what is seen in my TBSS is reduced FA in the
minor
forceps and
ATR.
These are young (23yo) psychiatric so age related atrophy is not
expected.
However,
they are known to have WM hypointensities even at a young age, I can
review their T2s.
A few are on mood stabilizers, but if this affected FA I would also
see it
in TBSS.
Thoughts?
Anastasia Yendiki <ayend...@nmr.mgh.harvard.edu> wrote:
Oh, another question: do your patients have white-mater
hypo/hyper-intensities, in other words any voxels in the white matter
that
are classified as something other than white matter in the freesurfer
aseg?
On Wed, 3 Apr 2013, Sean Hatton wrote:
Hi Freesurfer gurus,
I have been using Tracula to investigate white matter abnormalities
in a
patient
cohort (n=20) compared to matched controls (n=40). In line with the
literature, we
expected to see reductions in FA in the patients' tracts but instead
they have
significantly higher FA means. To double-check, we ran TBSS over the
same cohorts
and
got the results as per the literature (I.e. reduced FA in the patient
group). The
FA,
RD, AD, MD and volume outputs are normally distributed and there are
no
extreme
outliners. So wondering:
1. The patient group had significantly reduced tract volumes. If
this
volume
calculation is incorrect I expect it could influence the
calculation
of the mean
FA, RD, AD etc. Is there a way of checking the volume and
subsequent
calculations?
2. Yendiki et al 2011 had no corrections do I need corrections?
3. Should I be thresholding tract stats?
Thank you in advance,
Sean Hatton
Brain and Mind Research Institute
University of Sydney
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