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