I have a question concerning the smoothing of contrast images. Obviously
there are some groups who smooth the contrast images after already having
smoothed the normalised images (for exemple smooth the normalised images
with a Kernel of 6mm and re-smooth the contrast images also with a kernel
of 6mm). I am not sure what are the reasons for doing this? I asked myself
if it is helpful to use this procedure, if I don't want to use a wide
smoothing for the normalised data because I want to see for example small
structures (as the amygdala) and then to re_smooth the original images to
reveal better random effects statistics (I have no idea if this makes
sense)?
Happy to have suggestions and explanations on this topic -
Michèle
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