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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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I've done a volume-based task functional connectivity analysis involving a 3dTCorrMap step. Now I want to do replicate it in surface space. AFNI/SUMA seem to require that each hemisphere is analyzed separately -- is that correct? I'd rather have a merged dataset so I can use operations like 3dTCorrMap across the whole brain (both hemispheres) at once.
Below is my afniproc code that
by
KyleJ
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AFNI Message Board
Hi there. I'd like to use afni_proc.py with no basis function at all. The data are from a sparse temporal sampling experiment, so each TR corresponds to exactly one stimulus. If I were going to create a 3dDeconvolve command manually I'd put the series of 1's and 0's (for each condition) in with the -stim_file option, but afni_proc.py seems to convert them to stim_times and us
by
KyleJ
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AFNI Message Board
I'm getting an error when trying to run 'afni' following installation of SPM12:
** ERROR: Illegal driver custom duplication '3DSVM'
I'll post the terminal output, my .cshrc file, and the value of $path below. Thanks for your help.
kyle% afni
Precompiled binary macosx_10.7_local: Mar 27 2017 (Version AFNI_17.0.17)
Thanks go to SJ Li for much encour
by
KyleJ
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AFNI Message Board
I just found this helpful related thread:
Given my TR (17.125s) is pretty close to 5 * the TA (3.4s), seems that I could try creating 4 dummy volumes before each real one in the EPI data to pad out the silence time points, and then censor them.
by
KyleJ
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AFNI Message Board
Hi there,
I'm trying to analyze an experiment that used sparse temporal sampling on a Siemens Avanto 1.5T.
in the experiment, an auditory stimulus was presented in quiet and lasted 12s, after which subjects had 1.725s to make a response with a button box (also in quiet) and then one volume was collected (40 ascending slices, slice TA = 0.085s, total volume TA = 3.4s). So each trial st
by
KyleJ
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AFNI Message Board