Hi - first, see the randomise manual, which describes that you need to
threshold the p-value images (e.g. maxc, max_tfce etc) at 0.95 to get
p<0.05 (as the images are 1-p for convenience of display).
Then - if you want to get a cluster table out you can feed the
relevant image into the 'cluster' program - see previous posts on that
for more info.
Cheers, Steve.
On 16 Apr 2008, at 16:22, Natalia wrote:
> Please could you tell me how to determine the p-values for clusters
> identified after running a between-group analysis using Randomise? The
> resulting image provides (colour-coded?) p-values for clusters but I
> am
> not sure where this information is (e.g. in a table?) none of the
> clusters
> remain after creating a mask at p < 0.05 but it would be useful to
> know
> how 'non-significant' the clusters are.
>
> Thank you.
>
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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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