How to calculate the noise covariance matrix of natural viewing EEG for source-localization

How to choose a noisy time series for participants to obtain EEG signals in a natural viewing scenario, with one viewing as one EEG recording? If I am interested in the positive and negative emotions induced by natural viewing, can I use EEG with neutral emotions as a noise sequence? If possible, how to obtain the average noise covariance matrix of a subject (the sequence length recorded in each EEG is different)?

Hello Scarlet,

maybe this thread will help you decide on the time window to use for covariance estimation




Intuitively I would say no. I’d process these 3 conditions separately, and eventually look at the contrasts positive – neutral, negative – neutral, and positive – negative. But I’m no expert in this field.

If you don’t have anything that could serve as a pre-stimulus baseline period, you may consider creating an ad-hoc covariance matrix instead.

Best wishes,


Thank you for providing the link. I understand how to choose time windows to calculate the covariance matrix! :smile: :smile: :smile:

1 Like

Thank you for your suggestion. I have found the pre stimulus baseline period in the my data.

This topic was automatically closed 7 days after the last reply. New replies are no longer allowed.