[Eeglablist] Power analysis - Continuous EEG

[Makoto Miyakoshi]

Dear Franz,

I can rephrase your question into something like: What analyses are
available to analyze continuous EEG data that are hopefully sensitive to
distinguish ictal from inter-ictal states?

If you limit your analysis on EEGLAB, you can perform power spectral
density (PSD) analysis, phase-amplitude coupling analysis, power-power
coupling analysis, etc.. ICA can be itself a good analysis when used in a
clever way. But GUI-based analysis could be limited.

If your purpose is to learn these techniques, go ahead and try these
analyses. They are available as a plugin with graphical user interface.

If your purpose is to perform cutting-edge EEG analysis for publication,
these GUI-supported approaches could be limited. You might want to talk to
experienced EEG people who know how to code.

SCCN used to have a good person for clinical collaborations. He has
published probably 30-40 various clinical EEG papers since the middle of
2010:s, but he has recently moved. You can still talk to him if you want.

Makoto


On Tue, Jan 17, 2023 at 7:11 AM Franz Riederer <franz.riederer at uzh.ch>
wrote:

> Dear EEGLAB Community,
>
>
> Please let me reach out to you with the following question:
>
>
>
> I am interested in focal changes in EEG power during a certain phase of a
> disease, let`s call it “ictal” vs. another phase “interictal”.
>
>
>
> I have several “ictal” and “interictal” EEGs in one single subject. There
> is no task, eyes were closed throughout the recording (resting state).
>
>
>
> In the “study” creation interface I indicated 1 subject and 10 sessions
> referring to 10 different EEGs at different time points.
>
>
>
> Conditions were defined as “1=interictal” and “2 =interictal”.
>
>
>
>
>
> What would be the most appropriate way to compare these phases of disease
> in EEGLAB?
>
>
> Is EEGLAB statistics also appropriate for continuous data?
>
>
>
> Many thanks in advance,
>
>
>
> Kindest,
>
>
>
> Franz
>
>
>
>
>
>
>
>
>
> Prof. Dr. Franz Riederer
>
>
> Titularprofessor an der Universität Zürich
>
>
>
>
>
>
> E-Mail:  franz.riederer at uzh.ch<mailto:franz.riederer at uzh.ch>
>
>
>
>
>
> Web:
> https://urldefense.com/v3/__https://orcid.org/0000-0002-9722-9754__;!!Mih3wA!GI-RygjFM9-VO66F3ooR_Ufy60uj4_zUGMKk9lUgcf6PJUBX9_KKKUrFCX9GsAAl3aXcTl40tOJqpXuASUCs0OyaQ68T2BU$
>
>
>
>
>
> Senior Physician
>
>
> Prof at University of Zurich, Switzerland
>
>
>
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