I am trying to understand how to analyze ERP (Event-Related Potentials) from EEG recordings in focus on P-300 waves.
I have come up with a few questions which I hope you might be able to help with:
I assume that the number of repetitions af the stimulus should give better results, but I am not sure why. On one hand, it should help because avaraged results are usually better in neurosciences. On the other hand, maybe there is an unwanted adaptation effect of the subject? So, are repetitions wanted in this kind of experiment?
There are time points in which I didn't expect P300 but the brain activity was not 0. I understand that there is always a background activity in the brain, but maybe there is more to it? And if so, are there certain frequenciess that are more likely to happen under these conditions?
When I analyze the data using an avarage response, should I assume anything on the P300 response?
What is the recommended Sample Rate I should use. I guess there should be an advantage for high sample rate for more resolution bur I am not sure about that. Am I right, or maybe a lower sample rate has advantages thst I am not aware of?