[Eeglablist] Scalp map
Makoto Miyakoshi
mmiyakoshi at ucsd.edu
Thu Jan 14 14:16:02 PST 2016
Dear Jason,
You band-pass filter the data from 8 to 13 Hz and plot channel scalp
topography. If you want to show scalp topography of specific band of power
spectrum density, I'm afraid you need to code a little bit.
%%%%%%%%%%%%%%%%%%%
% for your epoched data, channel 2
[spectra,freqs] = spectopo(EEG.data(2,:,:), 0, EEG.srate);
% delta=1-4, theta=4-8, alpha=8-13, beta=13-30, gamma=30-80
deltaIdx = find(freqs>1 & freqs<4);
thetaIdx = find(freqs>4 & freqs<8);
alphaIdx = find(freqs>8 & freqs<13);
betaIdx = find(freqs>13 & freqs<30);
gammaIdx = find(freqs>30 & freqs<80);
% compute absolute power
deltaPower = mean(10.^(spectra(deltaIdx)/10));
thetaPower = mean(10.^(spectra(thetaIdx)/10));
alphaPower = mean(10.^(spectra(alphaIdx)/10));
betaPower = mean(10.^(spectra(betaIdx)/10));
gammaPower = mean(10.^(spectra(gammaIdx)/10));
%%%%%%%%%%%%%%%%%
...and use topoplot() function.
Alternatively, you maybe able to find a solution for you in Simon's NBT.
https://www.nbtwiki.net/
Makoto
On Fri, Jan 8, 2016 at 11:26 PM, jason roger <jasonroger8 at gmail.com> wrote:
> Dear all,
>
> I'm wondering about the good way in EEGLAB to plot scalp map based on the
> associated frequencies, e.g., [8 13]. My major aim is plotting not based
> on single value (mean), but instead, it is based on the band range.
>
> Any help would be highly appreciated.
>
> Jason
>
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--
Makoto Miyakoshi
Swartz Center for Computational Neuroscience
Institute for Neural Computation, University of California San Diego
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