Problem with nuisance covariate regression

Hello,

When I regress nuisance covariates (linear trends, Friston 24, and WM & CSF with 99% subject specific maps) the resulting image is completely blank with no brain. When I do this same nuisance covaraite regression but instead choose the WM & CSF a priori SPM maps, it works fine and I am able to finish the preprocessing correctly.  But, for my analyses I would prefer to use the subject-specific maps.  What may be going wrong here?  Thank you for any advice.

 

Best

Dina Dajani

Hi Dina,

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You should check the individual WM & CSF segmentation masks. As I said, this is theoretically better, but not always in practical.
 
Best,
 
Chao-Gan

Hello,

 

Which masks are used in the regression for WM & CSF?  There are the (1) warped masks, and two types of segmentation masks: (2) functional space and (3) thresholded maps

 

Thank you,

Dina Dajani

How did you specified nuisance regression. Please paste a snapshot here.
Best,

Chao-Gan


 

If so, then this is used: (3) thresholded maps

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Thanks,

Chao-Gan

I have already checked my WM and CSF maps and masks and they look fine.