Hi Eric

the optimal smoothing kernel more or less matches the size of the effect, 
so it's impossible to say a priori. A bigger kernel is better if there is 
more widespread subtle thinning

cheers
Bruce

On Mon, 27 Jul 2015, Erik Lindberg 
wrote:

> Dear freesufers,
> I quick question about smoothing of data in cortical thickness analysis. I 
> have a
> comparison that is rather borderline significant. When using smoothing of 10 
> mm I
> get a limited region in the frontal lobe that is differs between groups. 
> Changing
> to 15 mm I get larger regions - and also some parts of the temporal lobe 
> differs
> in the comparison.
> 
> The 15 mm smoothing provides results that are more consistent with the 
> hypothesis
> - however I do not know if this amount of smoothing overestimate the 
> difference
> between groups?
> 
> Eric
> 
> 
>
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