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
December 16, 2022 03:17PM
Hi Michal,

Those are pretty long blocks, for which you might have to worry about being too closely modeled with slow baseline fluctuations.
Ignoring that, when event durations vary, we generally suggest the "duration modulation" approach, which uses a BLOCK-shaped basis function.

For a quick overview, the stimulus timing files should not just have onsets, but should have corresponding durations attached, e.g.,

12.3:58 89:46

If the durations were shorter, we would suggest you peruse statistics/deconvolve_block.html. But since those events seem generally long (15s or more), you can probably just go with dmBLOCK, without any parameters.

For example, see "afni_proc.py -show_example NARPS".

If there are no amplitude modulators (only duration modulators), use AM1.

Please feel free to post part of or all of a timing file to discuss the details.

- rick
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Subject Author Posted

3dDeconvolve - Block duration changes

MichalZam December 15, 2022 04:05AM

Re: 3dDeconvolve - Block duration changes

rick reynolds December 16, 2022 03:17PM