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
