The simplest thing to do is just to treat every input image like
normal and then do (e.g.) a paired t-test in the final stats. If you
wanted to (possibly) improve the registrations (it hasn't been tested
whether this is worth the hassle) you could possibly feed in just one
image per subject (or an average of all their images) into the
registration stages and apply that to all that subject's timepoints.
However this approach will mean you getting inside and editing the
various TBSS scripts.
On 1 Feb 2009, at 13:00, Eytan Raz wrote:
> Dear FSL users,
> is there any recommended TBSS procedure to analyse longitudinal data?
>
> Thank you
>
>
> Eytan Raz, MD
> Rome - Italy
>
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Stephen M. Smith, Professor of Biomedical Engineering
Associate Director, Oxford University FMRIB Centre
FMRIB, JR Hospital, Headington, Oxford OX3 9DU, UK
+44 (0) 1865 222726 (fax 222717)
[log in to unmask] http://www.fmrib.ox.ac.uk/~steve
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