Hi Donna,

I have used the TFCE method to generate some statistical meaningful
results on cortical asymmetries. Thanks a lot for your help.
Currently, I have a question regarding to step of smoothing t-map with
4 iterations at 0.5 strength using average neighbors method. I found
that this step indeed improved the statistical results. What''s
difference between smoothing t-map and original surface attributes
such as sulcal depth or surface area? Why we need smooth t-map instead
of  surface attributes? And also, how the with 4 iterations at 0.5
strength using average neighbors method relate to the Gaussian kernel
size or FWHM on my surface mesh with 160K vertices? Thanks.

Regards,

Gang
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