Hi Matthieu,
yes, multiple comparisons are a problem for any mass univariate
approach. You can use the FDR2 correction (in the lme matlab tools)
which is less conservative than standard FDR. You can also work in
specific ROI's and average there, to reduce the number of comparisons.
Best, Martin
On 09/29/2015 09:11 AM, Matthieu Vanhoutte wrote:
Hi Martin,
Thank you for your answer.
However, I would like to consider FA maps as a mass-univariate problem
and not a univariate voxel-by-voxel as hippocampal volume. Indeed, my
voxels aren't independant, are they ? So, how to correct for multiple
comparisons then ?
Best regards,
Matthieu
2015-09-29 15:04 GMT+02:00 Martin Reuter <mreu...@nmr.mgh.harvard.edu
<mailto:mreu...@nmr.mgh.harvard.edu>>:
Hi Matthieu,
if all your images are perfectly registered, you can do LME on a
voxel-by-voxel basis, just as if you had hippocampal volume or any
other ROI measure.
Best, Martin
On 09/29/2015 06:46 AM, Matthieu Vanhoutte wrote:
Dear experts,
I would like to know if it is possible to make a longitudinal
study with LME toolbox from volume FA maps registered in a common
space ?
I don't have T1 images so the recon-all process couldn't be
processed. But if I put my 3D FA volume of dim = [nx,ny,nz] in a
1D nx*ny*nz voxels format, could it be in good way for LME ?
Thanks for helping !
Best regards,
Matthieu
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Assistant Professor of Neurology, Harvard Medical School
A.A.Martinos Center for Biomedical Imaging
Massachusetts General Hospital
Research Affiliate, CSAIL, MIT
Phone: +1-617-724-5652
Web : http://reuter.mit.edu
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