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

History of AFNI updates  

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November 18, 2019 11:42AM
Hi, Jun-

Several places to look:
+ afni_proc.py creates a commented (!) processing script automatically, so you can look through that for the exact outputs of things you want.

+ as part of its processing, afni_proc.py commands including running an AFNI program called gen_ss_review_scripts.py to go through and look for certain outputs, and then make a dictionary of them. You can see a description of all important dsets/info that it currently looks for with:
gen_ss_review_scripts.py -show_uvar_dict
That will allow you to find what "keys" in the dictionary you would be interested in, and you can then look in the file created by that program for your specific processing, which will be called: out.ss_review_uvars.json.
You can then see what specific file was created for that "key".

+ you can look at the files in time reversed order:
ls -ltr RESULTS_DIRECTORY
and the largest files near the end are probably the processed time series you want: probably either errts* or fitts* files are what you are looking for (depends on whether you are performing resting state or task data, respectively).

+ This part of the help describes a lot of the outputs in detail:
[afni.nimh.nih.gov]

--pt
Subject Author Posted

Pre-processed but non-statistically analyzed data Attachments

JW November 18, 2019 09:13AM

Re: Pre-processed but non-statistically analyzed data

ptaylor November 18, 2019 11:42AM

Re: Pre-processed but non-statistically analyzed data

rick reynolds November 20, 2019 09:04PM