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
October 29, 2009 09:28AM
Hi Steve,

One basic point is that you should not be modeling the baseline.
Is that the purpose of your ITI regressor? If so, just remove it.
A polynomial baseline will be applied per run. That applies to
both commands, it seems.

---

Do your stimuli actually last 2.5 seconds, or is that just the
duration of your TR? If they do last that long, you could ponder
using 'BLOCK(2.5,1)' for the basis functions with -stim_times.

---

To view how well you are modeling the data, add -fitts options
to the 3dDeconvolve commands (e.g. "-fitts fitts_dset"). After
running it, view the data in afni:

underlay: all runs (input to 3dDeconvolve)
open graph window
in graph window: Opt -> Tran 1D -> Dataset #N
in Dataset #N plugin: choose the fitts_dset and apply

Maybe then select some statistic in the overlay and go to voxels
with high statistics. See how well the model fits the data.

- rick

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Subject Author Posted

3dDeconvolve

Steve October 28, 2009 07:35PM

Re: 3dDeconvolve

rick reynolds October 29, 2009 09:28AM

Re: 3dDeconvolve

Steve October 29, 2009 01:43PM

Re: 3dDeconvolve

rick reynolds October 29, 2009 02:07PM