I have an EEG dataset with some bad channels (on average, 4-5 out of 64 per subject), already preprocessed in EEGLAB with the bad channels interpolated and then average-referenced. I imported it into BST for source reconstruction.
My key question: Is it correct to do source reconstruction on such data or should I mark the bad channels as bad in BST before doing it (as I guess interpolation at the scalp level may add noise in the source reconstruction)?
In the latter case, as average-reference was computed including the interpolated channels, should I import the data before average-reference and then average-reference in BST after marking the bad channels (though I understand that this last step is irrelevant for source reconstruction)?
While waiting for a response, I reasoned that the most probable correct answer is: Yes, I should remove the bad channels instead of interpolating them before doing source reconstruction.
Now my question is: how should I do that? Should I
mark the bad channels on each single recording, including resting state, and then do source reconstruction?
Or should I remove the channels from the electrode channel file?
In case 1), if I already did source reconstruction with all the channels, is it sufficient to mark the channels as bad in the recordings to automatically have the corrected source reconstruction or should I run the head model and source reconstruction again?