[Eeglablist] Extraction of spectral power from brain components after ICA

[Park, Jinhan]

Hello Chang,

I'm Jinhan Park, a Ph.D. Candidate at UF.

I think after the ICA, you can compute components' frequency power using "icaact.m."
What I used was like:
      In MATLAB, "EEG.icaact = icaact(EEG.data, (EEG.icaweights*EEG.icasphere),mean(EEG.data'));"
The "EEG.icaact" data is time-series signals. If you get this, you can convert the time-domain into frequency domain data using the same way as you did in sensor data.

I hope it could help you.

Best,
Jinhan




Jinhan Park (Hans) | Ph.D. candidate

Department of Applied Physiology and Kinesiology

University of Florida

Laboratory of Rehabilitation Neuroscience | lrnlab.org

Phone: +1 (352) 328-6605

Email: jinhan.park at ufl.edu



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Sent: Thursday, January 18, 2024 3:47 AM
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Subject: [Eeglablist] Extraction of spectral power from brain components after ICA

[External Email]

Dear all,

As far as I know, we can extract quantitative spectral power (e.g. alpha
and delta power) from channels. However, is it also possible to extract
spectral power from brain components (after ICA, we have power spectra of
each component, so we can?) I do not major in engineering or computer
science, so it's difficult to create my own code...

Best Wishes,
Jinwon Chang
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