History of AFNI updates  

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July 24, 2015 10:18AM
Hi Ana,

You should apply a mask that says where the brain
is (or where data without major signal dropout is).
Such a mask does not have to be perfect, it merely
restricts the blur to a reasonable region.

Also, as is done with afni_proc.py, compute the blur
on a per-run basis, to keep detrending appropriate.

You might consider running afni_proc.py on one or
two subjects, both to compare the sequence of steps
and to verify the results.

- rick
Subject Author Posted

3dFWHMx returns spatial smoothness values that are 50% of the blur applied

Ana Bedacarratz July 22, 2015 04:03PM

Re: 3dFWHMx returns spatial smoothness values that are 50% of the blur applied

rick reynolds July 22, 2015 04:34PM

Re: 3dFWHMx returns spatial smoothness values that are 50% of the blur applied

Ana Bedacarratz July 23, 2015 09:55PM

Re: 3dFWHMx returns spatial smoothness values that are 50% of the blur applied

rick reynolds July 24, 2015 10:18AM