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  

|
March 03, 2020 09:51AM
Hi Robin,

Thanks. We do not actually consider bumping rude. It is hard to keep track of all the threads, so it is helpful when we are reminded of something lingering.

1) Is that part of an align_epi_anat.py command? Can you post it (or you can mail me the full output.proc.* file).

2) Was it really removed from 6b? I don't recall it being in there. And that example is only about 2 weeks old, as a more complete version of example 6.

We usually apply despike in either resting state, or when we expect the subjects to be high-motion ones. For a straightforward task case, we usually do not apply it (though it is fine to do so).

3) Example 6b has -regress_3dD_stop because it also has -regress_reml_exec, and the expectation is to use the 3dREMLfit stats, rather than those from 3dDeconvolve. So the only point of -regress_3dD_stop is to save disk space.

Similar to despike, anaticor is more commonly applied in the case of resting state analysis, though it can be used for task as well. But the (voxelwise) anaticor regression cannot be done with 3dDeconvolve, for that 3dREMLfit is required.

4) Similarly, we tend to apply the 'deriv' parameters in the case of resting state analysis, not typically for task. Though again, it is okay to do so.


In a resting state analysis, we are more careful with motion and censoring in general. You will notice that all of these options (despike, anaticor, motion deriv regression) are applied in example 11.

afni_proc.py -show_example 'example 11'

- rick
Subject Author Posted

Updated AFNI pre-proc pipeline

Robin February 21, 2020 06:51AM

Re: Updated AFNI pre-proc pipeline

ptaylor February 21, 2020 07:17AM

Re: Updated AFNI pre-proc pipeline

Robin February 21, 2020 08:23AM

Re: Updated AFNI pre-proc pipeline

ptaylor February 21, 2020 08:42AM

Re: Updated AFNI pre-proc pipeline

Robin February 21, 2020 08:57AM

Re: Updated AFNI pre-proc pipeline

Robin February 21, 2020 09:24AM

Re: Updated AFNI pre-proc pipeline

ptaylor February 21, 2020 09:35AM

Re: Updated AFNI pre-proc pipeline Attachments

Robin February 24, 2020 04:53AM

Re: Updated AFNI pre-proc pipeline

ptaylor February 24, 2020 07:43AM

Re: Updated AFNI pre-proc pipeline

Robin February 24, 2020 07:59AM

Re: Updated AFNI pre-proc pipeline

Robin March 02, 2020 03:02AM

Re: Updated AFNI pre-proc pipeline

rick reynolds March 03, 2020 09:51AM

Re: Updated AFNI pre-proc pipeline

Robin March 03, 2020 04:15PM

Re: Updated AFNI pre-proc pipeline

krisknut March 11, 2020 02:35PM

Re: Updated AFNI pre-proc pipeline

rick reynolds March 11, 2020 04:35PM