AFNI Message Board

Dear AFNI users-

We are very pleased to announce that the new AFNI Message Board framework is up! Please join us at:

https://discuss.afni.nimh.nih.gov

Existing user accounts have been migrated, so returning users can login by requesting a password reset. New users can create accounts, as well, through a standard account creation process. Please note that these setup emails might initially go to spam folders (esp. for NIH users!), so please check those locations in the beginning.

The current Message Board discussion threads have been migrated to the new framework. The current Message Board will remain visible, but read-only, for a little while.

Sincerely, AFNI HQ

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rick reynolds
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
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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