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
February 25, 2020 09:19AM
Hello,

This can be done with 3dDeconvolve in conjunction with 3dSynthesize. When 3dDeconvolve is run, include "-cbucket PREFIX", which will create a dataset of only betas (for all regressors). With that, 3dSynthesize can construct a combination of any set of regressors (times their voxelwise betas). Removing just one might require a few -select statements, or you could simply -select the regressor to remove, and then subtract the result from the original time series (the 3dDeconvolve input).

Note that this is different than projecting out that one regressor (which would be done with 3dTproject). In the case of fitting and omitting, say (or subtracting as I suggest in this case), the resulting data will (presumably) not be orthogonal to the one regressor of (dis)interest.

Does that seem reasonable?

- rick
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afni - 3dDeconvolve - residual time course

chpiero February 17, 2020 08:03AM

Re: afni - 3dDeconvolve - residual time course

rick reynolds February 25, 2020 09:19AM