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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
History of AFNI updates
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Hi Paul,
This worked great, thanks for the help as always. The default whereami behavior makes sense and the use of 3dcalc instead makes more sense for our script moving forward.
Best,
Walker
by
wmckinney
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AFNI Message Board
Hi all,
I am using whereami -mask_atlas_region to save out some brainstem/cerebellum masks that are subsequently combined into a single mask for later analysis. I previously had no issues with this using AFNI v19.0.25 and using the following command after using @SUMA_Make_Spec_FS:
@MakeLabelTable -atlasize_labeled_dset aparc.a2009s+aseg_rank.nii -replace
whereami -atlas aparc.a2009s+aseg
by
wmckinney
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AFNI Message Board
That makes sense. Alignment has definitely improved using the minimum outlier. Thanks, Rick!
Best,
Walker
by
wmckinney
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AFNI Message Board
Hi all,
I had a quick question on the afni_proc.py alignment options. I work with some projects which align to the first TR and some which align to the minimum outlier. If the first TR is censored due to motion, would aligning to the first TR align to this later censored TR or would it go ahead and align to the first "non-censored" TR from later in the run? I'm assuming that it
by
wmckinney
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AFNI Message Board
Hi all,
Our group has been using @auto_tlrc for aligning anatomical human T1 data to the MNI152 template. I recently attended an AFNI workshop and worked through warping/skull-stripping using @SSwarper and it sounds like this is the preferred option if you have the computing power to do it.
I've been running @SSwarper on some of our subjects to compare warping between our old @auto_tlr
by
wmckinney
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AFNI Message Board
Hi all,
I'm using 3dMEMA for between-group analyses. At the end of the 3dMEMA output, I receive the following error:
There were 50 or more warnings (use warnings() to see the first 50)
Is there a way to view all warnings from an AFNI program which calls on R packages? I believe that message is typically an R warning, but I'm not sure how to use "warnings()" to see all
by
wmckinney
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AFNI Message Board