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  

|
December 17, 2016 10:23AM
Hi Laura,

Yes, there is no need for any _per_run options when
there is only 1 run.

Sure 3 is a good number of PCs to remove, but nothing
is written in stone. Some studies have used larger
numbers (though I do not know about via afni_proc.py),
but from people I know who have done such things, 3
seems like a good number.

Yes, FreeSurfer would take much longer. But 3dDeconvolve
is not slowing down your processing, it is the non-linear
registration. Just adding -tlrc_NL_warp vastly increases
the processing time. And if your binaries support it,
the non-linear registration uses parallel processing to
speed it up already.

It is also possible that your computer is running out of
RAM during the registration step, which would greatly
slow it down. How much RAM do you have, and how large
are your datasets?

- rick
Subject Author Posted

Preprocessing multi-band resting state data using afni_proc.py

Laura October 20, 2016 05:18PM

Re: Preprocessing multi-band resting state data using afni_proc.py

rick reynolds October 20, 2016 08:01PM

Re: Preprocessing multi-band resting state data using afni_proc.py

Laura November 18, 2016 12:18PM

Re: Preprocessing multi-band resting state data using afni_proc.py

rick reynolds November 21, 2016 09:04AM

Re: Preprocessing multi-band resting state data using afni_proc.py

Laura November 21, 2016 04:34PM

Re: Preprocessing multi-band resting state data using afni_proc.py

rick reynolds November 21, 2016 08:58PM

Re: Preprocessing multi-band resting state data using afni_proc.py

Laura December 17, 2016 10:02AM

Re: Preprocessing multi-band resting state data using afni_proc.py

rick reynolds December 17, 2016 10:23AM

Re: Preprocessing multi-band resting state data using afni_proc.py

Laura December 17, 2016 07:53PM

Re: Preprocessing multi-band resting state data using afni_proc.py

rick reynolds December 17, 2016 08:20PM

Re: Preprocessing multi-band resting state data using afni_proc.py

Laura May 03, 2017 10:26AM

Re: Preprocessing multi-band resting state data using afni_proc.py

rick reynolds May 03, 2017 11:18AM

Re: Preprocessing multi-band resting state data using afni_proc.py

Laura May 03, 2017 11:56AM

Re: Preprocessing multi-band resting state data using afni_proc.py

rick reynolds May 03, 2017 01:24PM

Re: Preprocessing multi-band resting state data using afni_proc.py

Laura May 05, 2017 12:56AM

Re: Preprocessing multi-band resting state data using afni_proc.py

rick reynolds May 08, 2017 10:53AM

Re: Preprocessing multi-band resting state data using afni_proc.py

Laura May 09, 2017 08:26AM

Re: Preprocessing multi-band resting state data using afni_proc.py

rick reynolds May 09, 2017 09:14AM

Re: Preprocessing multi-band resting state data using afni_proc.py

Laura May 10, 2017 01:18PM

Re: Preprocessing multi-band resting state data using afni_proc.py

Laura May 15, 2017 12:00PM

Re: Preprocessing multi-band resting state data using afni_proc.py

rick reynolds May 16, 2017 11:59AM