Dear Nicolas,
there are two ways to use the non-stationarity correction:
1. SPM8 provides this correction too, although this is somewhat hidden. You have to set the following flag defaults.stats.rft.nonstat = 1;
Then you can call the results function in SPM in the usual way (it will be slower, which is maybe the reason to not set this by default)
2. VBM8 offers a non-stationarity correction if you use the "Threshold and transform spmT-maps" function. There are also some additional options that might be helpful (e.g. defining p-value for cluster-size, conversion to log-P scale). However, there is no way to print out any results table. In order to visualize the results you can use the cg_slice_overlay_ui.m file that has to be edited.
Best,
Christian
On Tue, 17 Dec 2013 12:53:21 +0000, Nicolas Farrugia <[log in to unmask]> wrote:
>Dear all,
>
>I'm using the VBM8 toolbox function to correct for non-stationnarity in cluster extent (as described in http://dbm.neuro.uni-jena.de/vbm/non-stationary-cluster-extent-correction/ ).
>
>Can the results be visualized with the classic "Results" window from SPM, thus showing all p-values for all clusters, cluster extent, + all the features of this interface; etc.. ?
>As I couldn't figure it out, I'm simply overlaying the output nii image on a template using MRIcron.
>
>All the best
>
>Nicolas
>
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