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So, I have continuous EEG data from a control group and a test group. The recording was done while the participants were at rest, so no task was performed.

I want to start with some basic analysis, but I am not really sure how to give the first step. The recordings are ~5hours long. I believe it is best to segment the data. Should I perform the analysis on each segment? How do I combine the data of the whole group and then compare it with the other group?

I just started to work with EEG and none of the papers show a clear "tutorial" on how to do these basic steps. Any papers or books you could recommend would be of great help!

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  • $\begingroup$ just an update: by basic analysis I mean time-frequency, laterality, etc... $\endgroup$ Commented Apr 29, 2015 at 23:27
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    $\begingroup$ please add updates as edits to your question $\endgroup$
    – Seanny123
    Commented Apr 30, 2015 at 0:05
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    $\begingroup$ What's the goal of the analysis? There are a lot of things you could do with EEG data, but what you should do depends on the question(s) you are trying to answer. $\endgroup$
    – Josh
    Commented Apr 30, 2015 at 14:08
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    $\begingroup$ Info on the purpose is critical. If the test group has,eg, epilepsy you may want to look for paroxysmal activity. Otherwise, FFT is likely a good start. $\endgroup$
    – AliceD
    Commented Apr 30, 2015 at 20:59
  • $\begingroup$ I agree with the above comments, what is your question? From a data analysis perspective, no, you dont necessarily need to segment your data. An interesting approach would be to use different data reduction methods to explore your data. For instance, global field power is one simple way of reducing your data to only one "channel" (which is also reference free). Another approach is to read the literature on EEG microstates and explore those in your data. $\endgroup$
    – blackBerry
    Commented Jun 30, 2015 at 9:16

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