There is an automasking done in mri_glmfit. For each voxel, it looks 
through all the inputs. If one of the inputs is 0, then that voxel is 
masked out. If you have data where this is expected (eg, VBM-like data), 
then you can add --no-prune. If this is not expected, then look through 
your data to see what might be wrong. It might be that one of your 
subjects is all 0s.

doug


On 01/23/2013 02:49 AM, Jürgen Hänggi wrote:
> Dear FS experts
>
> I run a longitudinal analysis, and all steps (cross, base, long) were run
> without errors. I used QA tools in order to look at the results and all
> recons are fine.
>
> However, when running glmfit with the --osgm option there is no error
> message, but there is also no results (sig=0, F=0). In the log I realized
> that the mask is empty (see below).
>
> Found 149955 points in label.
> Pruning voxels by thr: 0.000000
> Found 0 voxels in mask
> Saving mask to Cap_Thickness_LH.glmdir/mask.mgh
> Reshaping mriglm->mask...
> search space = 0.000000
>
> What are the most plausible reasons for this empty mask?
> Should I try the pruning option?
>
> Thanks in advance
> Regards
> Jürgen
>
>
>
> ----------------------------------------------------------------------------
> Jürgen Hänggi, Ph.D.
> Division Neuropsychology
> Institute of Psychology
> University of Zurich
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-- 
Douglas N. Greve, Ph.D.
MGH-NMR Center
gr...@nmr.mgh.harvard.edu
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