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Hi Dr Greve,
I would like to correct surface based analyses of PET data for multiple
comparisons. I ran group comparisons in three spaces. left and right
hemispheres and subcortical.
I used the method --cache in mri_glmfit-sim to correct the analyses in eft and
right hemispheres.
I used the method --grf in mri_glmfit-sim to correct the analyses in
subcortical regions.
My questions are:
In one of your kind responses to a collegue here
https://mail.nmr.mgh.harvard.edu/pipermail//freesurfer/2014-January/035650.html
you had suggested "If you want to use GRF, you should use smooth by twice the
native voxel size. I would not go higher than .01 on the threshold".
Would you mind clarify what it means don;t go higher than .01 is this the cwp
threshold? also smoothing by twice the native voxel is this means fwhm=2mm?
The methods --cache and --grf are giving me the expected results.. when I
should consider using simulation --perm ?
Thanks for any clarification
John
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