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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bsjeong
August 21, 2009 09:43PM
Thanks, I will keep in mind your words.

I have a 3dAutoTcorrelate-related question.

I think a method to remove nuisance variables (e.g., signal from white matter, csf, head motion so on) from time series may be the usage of 3dDeconvolve before performing correlation analysis. Am I right?

I'd like to remove nuisance variables in, not before, correlation analysis? (similar to what 1dGC.R or 3dGC.R can do) It seems a option of 3dTcorrelate, -ort, could do. Does 3dAutoTcorrelate have any option to deal them as nuisance variable (aka partial correlation)?

thanks,

Jeong
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Subject Author Posted

voxel-based whole-brain correlation analysis

bsjeong August 21, 2009 07:50AM

Re: voxel-based whole-brain correlation analysis

bob cox August 21, 2009 01:37PM

Re: voxel-based whole-brain correlation analysis

bsjeong August 21, 2009 09:43PM