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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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Postdoctoral Fellowship Opening in Functional Neuroimaging, Development and ADHD
We are recruiting for a postdoctoral fellow with expertise in functional brain imaging in the attention-deficit/hyperactivity disorder (ADHD) group at the University of California, Davis MIND Institute. The MIND Institute is located on the medical school campus in Sacramento, CA. The position is available starting
by
cindy.krafft
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AFNI Message Board
Oh OK, thanks for the explanation! I tried that and it does seem to fix the issue
by
cindy.krafft
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AFNI Message Board
I don't have an out.TENT.warn.txt file, but here is the output of 10c.
within-TR stimulus offset statistics (JT288_all_collapsed.1D) :
per run
------------------------------
offset means 0.500 0.500 0.500 0.500 0.500 0.500 0.500 0.500
offset stdevs 0.000 0.000 0.000 0.000 0.000
by
cindy.krafft
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AFNI Message Board
Hi AFNI experts,
I'm trying to run an analysis using TENT functions which are amplitude-modulated by reaction time. I keep getting collinearity errors between TENT regressor pairs, though. The correlation matrix warnings, 3dDeconvolve warnings, and 3dDeconvolve analysis script are below. I appreciate any advice!
Thanks,
Cindy
severity correlation cosine regressor pair
by
cindy.krafft
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AFNI Message Board
Hello AFNI experts,
I am analyzing some data where participants did 8 runs of a task. Participants generally have little motion within runs but more between runs such that some participants move about a voxel size from the beginning to the end of the session. The question is, is there a way to deal with this in analysis? For instance, is it acceptable to register everything to a midpoint volum
by
cindy.krafft
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AFNI Message Board