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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Emperor Zhark
October 01, 2015 09:44AM
I don't see the motive for doing this. There are 2 time series regression programs involved.

3dDeconvolve does regression using ordinary least squares (OLSQ).
3dREMLfit does regression using generalized least squares (GLSQ), with REML estimation of the covariance matrix involved.

Your script would do GLSQ estimation of the motion effects and subtract those from the data. Then with that subtracted data, you would then do OLSQ estimation of the task parameters.

I simply can't see why. It is certainly possible, but I don't think it is reasonable. If you believe the noise in the time series is correlated, then why would you seek statistical measures of the task parameters using OLSQ and of the motion parameters using GLSQ?
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Is it reasonable to use 3dREMLfit's Rerrts output in 3dDeconvolve

ld September 30, 2015 07:25PM

Re: Is it reasonable to use 3dREMLfit's Rerrts output in 3dDeconvolve

Emperor Zhark October 01, 2015 09:44AM