Greetings BST Community,

Thus far in my work with Brainstorm and resting state EEG, I have been conducting source reconstruction with the MN method, which requires just a noise covariance (which I've been using the identity matrix for).

I am currently interested in how my metrics of interest (e.g., functional connectivity) may vary based on the source reconstruction method. I would thus like to also conduct source reconstruction of my resting state EEG with the Beamformer method.

I was hoping for some clarity around how to calculate the data covariance in the context of resting state EEG. In the data covariance page (https://neuroimage.usc.edu/brainstorm/Tutorials/NoiseCovariance), it states that for spontaneous data, to use the full time window.

In the case of resting state EEG where there is no stimulus, how should I go about specifying the "baseline" and "data" options? For example, if I have 30 seconds of data, I'm assuming "data" would be 0-30 seconds, but what would the baseline values be in this case?

EDIT - I think I may have misunderstood. Im my case, would I just select "data covariance", and the data covariance would be calculated based on the time window provided in "Data", and no need to specify the "Baseline" window?

Thank you,

Paul