[Eeglablist] Plotting SIFT Connectivity results as power spectral density

[Mikołaj Magnuski]

Dear James,

If you want to reduce the time dimension of your coherence results you
could for example average over time. The matrices with estimated
connectivity measures are in EEG.CAT.Conn.here_your_measure
(where "here_your_measure" corresponds to the field name that contains the
measure you used, probably something like "Coh" in your case).

The dimensiins of the matrices are:
to X from X frequency X time

So assuming your measure is in Coh field (you should check this) and you
want to obtain its time-averaged values between component 1 and component
3, you can write:
CohFreq = mean( squeeze(EEG.CAT.Conn.Coh(1, 3, :, :)), 2);

Does this solve your problem?
20 lut 2014 20:54 "James Jones-Rounds" <jj324 at cornell.edu> napisał(a):

> Hello all,
>
> I would like to plot Coherence results from SIFT analyses as power
> spectrum density plots, similar to an FFT output, such as what the
> 'pop_prop' function produces..Does anyone have any tips for accomplishing
> this?
>
> In other words, let's say I have a [100,12] matrix of coherence values (in
> dB, I believe), as 100 frequencies x 12 windows, representing the complex
> coherence between two components. I'd like to represent that as a single
> power spectrum density plot with frequencies on the x-axis and mean power
> on the y-axis.
>
> Thanks!
>
> James
>
> --
> James Jones-Rounds
> Laboratory Manager
> Human Development EEG and Psychophysiology (HEP) Laboratory,
> Department of Human Development,
> --------------------------------------------
> Cornell University | Ithaca, NY
> 607-255-9883
> eeg at cornell.edu
>
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