Hello,
Is there a way that I could do spatial smoothing and save the smoothed stc files?
I know to do it while plotting the stc (eg., stc.plot(smoothing_steps = 7), but don’t know how to do it in the offline (i.e., after closing the plot window) and save it.
The spatial smoothing during plotting is (I think?) only there because the used source-space vertices can appear farther than 1 pixel apart, so without smoothing you would just see a bunch of isolated/unconnected dots of color on the gray background of the cortex. In the STC data object, those intervening pixels / vertices aren’t actually there.
Knowing that, do you still want to perform some kind of smoothing on the data object? It’s not necessarily a crazy idea, but I want to make sure your desire to do it isn’t based on a mistaken assumption.
Hi @drammock
Indeed, I was having a wrong assumption that source-space vertices could be smoothed similar to that of fMRI voxels. Thanks a lot for making the clarification.
Well, they are just numbers with spatial locations associated with them, so it is possible to smooth them in a similar way to fMRI. But it is rarely done I think, because (for example) the minimum-norm and dSPM ways of estimating source activity already yield smooth(ed) solutions.