Global mean regression removes all voxels?

Hi, I have been using DPARSFA for preprocessing and it has been working very well so far. I tried to remove the Global Signal nuisance regressor, but after doing so my data has no voxels left -- i.e., when I enter it into a first-level model in SPM, and estimate the model, I get this popup message:
No inmask voxels - empty analysis!

And this command line error message:

Reference to non-existent field 'xVol'.
Error in spm_getSPM (line 243)
XYZ  = SPM.xVol.XYZ;                %-XYZ coordinates
Error in spm_results_ui (line 263)
        [SPM,xSPM] = spm_getSPM;
Error while evaluating uicontrol Callback

I've had the same thing happen regardless of the level of preprocessing that has been done. When I skip the global signal regression everything runs fine. What might be the problem?


Task fMRI?

If the global signal is highly correlated with your task regressor, then you may get no results in SPM's first-level analysis.

 Thanks for your reply. It is resting state data.

So what do you want to do with SPM's first-level analysis?

 The global signal regression removes all voxels whether I'm looking at resting data or task-based data...what do you recommend I do to solve this?

Sorry, I still can not get your point. Please see #4 is relevant to your question.