Hi Yang
the size of the smoothing kernel depends on the size of the effect you are
looking for (this is called the matched filter theorem), so there is no
general smoothing size that is appropriate. We smooth a bit by default for
visualization purposes, but you can pick any smoothing size you like
cheers
Bruce
On Thu, 14 Nov 2019, huyang wrote:
External Email - Use Caution
Dear FS experts,
Is it necessary to do spatial smoothing for cortical folding measures
(curv/sulc/smoothwm.FI.crv/pial_lgi, etc.)? These cortical folding measures are
inherently smooth
based on the computation methods used. If spatial smoothing is still needed,
what's the recommended
smoothing kernel size?
Thanks!
Yang Hu
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