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:
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No inmask voxels - empty analysis!
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And this command line error message:
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No inmask voxels - empty analysis!
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And this command line error message:
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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
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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?
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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?
Forums
Re: Global mean regression removes all voxels?
If the global signal is highly correlated with your task regressor, then you may get no results in SPM's first-level analysis.
Re: Global mean regression removes all voxels?
Thanks for your reply. It is resting state data.
Re: Global mean regression removes all voxels?
So what do you want to do with SPM's first-level analysis?
Re: Global mean regression removes all voxels?
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?
Re: Global mean regression removes all voxels?
Sorry, I still can not get your point. Please see http://www.restfmri.net/forum/FAQ #4 is relevant to your question.