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 15, 2012 10:24PM
Hi Colm,

If your subjects are not adults, they may be more prone to
motion, making 0.2 perhaps too strict.

Bandpassing uses basically the fraction of frequencies up
to Nyquist as the fraction of DOF that are lost from the
operation (starting with the number of TRs).

For example, assume everything over 0.1 hz is removed in
the BP operation. Then if the TR is 2s (so Nyquist is 1/4 =
0.25), 60% of the DOF are lost to bandpass regressors,
with 40% remaining (0.1/0.25 = 0.4 remains, since bands
below 0.1 out of everything up to 0.25 are kept).

If there are 200 TRs, then 120 DOF are given up, with only
80 remaining. If the TR=5s (or more), then the Nyquist
frequency is 0.1 (or less), so there are no bands to remove.

Does that clarify it at all?

- rick
Subject Author Posted

resting state analysis: advantages of bandpass filtering in regression?

Colm Connolly November 15, 2012 04:23PM

Re: resting state analysis: advantages of bandpass filtering in regression?

rick reynolds November 15, 2012 04:30PM

Re: resting state analysis: advantages of bandpass filtering in regression?

Colm Connolly November 15, 2012 04:41PM

Re: resting state analysis: advantages of bandpass filtering in regression?

rick reynolds November 15, 2012 10:24PM