Hey there,
I conducted a perception experiment with two conditions with a 64 channels EEG system. I did the preprocessing in eeglab and removed bad channels for all 31 subjects in the process. Afterwards I switched to brainstorm with the plan to compute the sources, followed by functional connectivity and finally compare the two conditions.
I encountered a problem regarding the missing channels.
I did not interpolate any channels which led to all the subjects having different numbers of channels. I tried to average both conditions but due to the different amount of channels that does not work.
Do I have to interpolate the missing ones?
I saw that there is an option that allows me to uniform list of channels. But I am not sure if any of the options there is favourable for my analyses.
I also tried to compute connectivity for all my subjects at once leading to a message that tells me that I have to compute it for each subject separately (with the reference to scripting).
So in addition to the question about the missing channels I'd be grateful for a hint on the correct order of steps to compute connectivity. Do I compute it for each subject separately or do I average all trials of one condition for all subjects and compute the connectivity for that averaged file?
Best wishes