I would say that you can do that only if your data is continous (preferably
close to normally distributed).
Binary data or any non-continous data requires a different approach (eg.
Generalized Estimating Equations).
Best-Jorge
De: Martin Reuter <mreu...@nmr.mgh.harvard.edu>
Para: Freesurfer support list <freesurfer@nmr.mgh.harvard.edu>
Enviado: Martes 29 de septiembre de 2015 9:04
Asunto: Re: [Freesurfer] LME toolbox for longitudinal FA volume maps ?
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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--
Martin Reuter, PhD
Assistant Professor of Radiology, Harvard Medical School
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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