I have a visual experiment with frequent color stimuli 'Red' and rare color stimuli 'Blue' appearing for 200 trials while simultaneously recording EEG. Since it is a visual experiment, there might be a lot of artifacts from the eye movements. Can we still extract the frequency bands (alpha, beta, delta, theta and gamma) power for such signals ? How is it possible ? Can we do it in EEGLAB ? I only found method to calculate ERP components like P300 etc but not to calculate the Power Spectral Density. Please suggest anyone.
Thank you
Didn't you register EOG with electrodes for horizontal and/or vertical eye movements?
What is the hypothesis of your investigation? Your method of data analysis should be determined by guesses you made in advance before any measurements.
The function you are looking for is pop_newtimef, or Plot -> Time frequency transforms -> Channel time frequency, if you are using the GUI.
Best wishes, Marius
Yes you can use EEGlab for power spectral density. First import you EEG data to EEGLAB then import your event file then ICA. after that you can do many things with your data.
I would also suggest to learn how to use the regular FFT implemented in Matlab. A very helpful resource for learning this are the lecturelets by Mike X Cohen (https://youtu.be/gr3IG81Gl9I) as well as his book on neural time-series data. Then you can index or subset the epochs / time windows you want to use and perform a regular FFT.
Regarding your eye-artifact sub-question, it would be the easiest way to just exclude blink- and saccade-ICs during your preprocessing. From my experience so far, eye-artifacts as well as short motion artifacts should not influence your frequency-domain outcomes as much as measures in the time-domain.
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