History of AFNI updates  

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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
Subject Author Posted

afni - 3dDeconvolve - residual time course

chpiero February 17, 2020 08:03AM

Re: afni - 3dDeconvolve - residual time course

rick reynolds February 25, 2020 09:19AM