Hi, I had a question concerning bad channels. I currently work on another software where I've already visually inspected my EEG data and labelled some channels as bad but only for specific segments.
I take these labels/events, and import them on brainstorm to run further analyses on the EEG.
Currently, this looks like this:

I have a label called "Eveil", which is the EEG i want to further analyze, and amongst the events labelled as "Eveil", I also have concurrent labels of channels with artefacts. In the screenshot above, I have segments for which the channel C3-M2 is bad. These "bad" segments are of varying lengths and are specific to the C3-M2 channel.
I know I can reject all of the segments where C3-M2 is artefacted, by rejecting the trials (or naming it as bad__ as I've done here). However doing it this way reduces my data by a lot because it also rejects the good channels in that segment.
My question is, if for my label "Art C3-M2" I specify the bad channels, are these also excluded from my "Eveil" segments? Although these are two different labels, they overlap in time.
Thank you,
Edit: I've previously read on the forum that, when averaging the trials, the bad channels are indeed excluded. But I wondered if this would still apply in my case, where the "trials" have different labels-- yet overlap in time.
Soraya