[Eeglablist] FW: About an export of mean band power etc

[Tarik S Bel-Bahar]

Note sure why you are merging components. Because of your time urgency, you
should simply compute frequencies for all bands and all channels, for each
session at time. Or, for each components of interest. Then compute single
subject frequency, for each bands and component. From there you should
easily be able to compute averages across sessions, subjects, or
frequencies of choice. Let us know if you find a solution.
On Feb 26, 2012 1:59 PM, "guy richardson" <guy_r at hotmail.co.uk> wrote:

>  Hi people
>
> I have a limited time to export the mean band power and phase coherence
> for different frequency bands in my eeg data.
>
> I have been testing the affcect of audio entrainment tones (binaural beats
> etc) in the brain.
>
> I have to export these measures in EEG lab. Below is what i am looking to
> achieve but i get an error with my script.
>
> This is a paragraph from a dissertation i found that used the same methods
> i am trying to achieve... Could someone help me achieve the same data with
> my EEG... P.S i am using the same electrode placements and setup as this
> study. What do i have to do in EEGlab to achieve this? i have tried
> exporting the data with the spectopo function as stated below but i get an
> error with the Axes.
>
> Any help would be great
>
> Regards - Guy Richardson, Hull university
>
>
>
> 4) Mean Spectral Power:
> On finding 5 largest contributing components for specific frequency, the
> spectral power for
> those components is found using *spectopo *function as below:
>
> [spectra, freqs, speccomp, contrib, specstd]=spectopo(EEG.icaact,
> EEG.pnts, EEG.srate, 'freq',
> [8 12], 'chanlocs', EEG.chanlocs, 'nfft', 128, 'winsize', 128, 'overlap',
> 64);
> (Note: “EEG” is a Matlab structure which carries all the EEG data.
> EEG.icaact : All EEG
> components computed by ICA, and so on.)
>
> Above function computes spectral power for all components, so the largest
> 5 components are
> selected and their power in db/Hz are averaged over the frequency band.
> Average of individual
> components is again averaged as a mean power for specific frequency band.
>
> For each subject this mean spectral power is calculated for all known
> frequency bands for EEG,
> viz. delta, theta, alpha, beta and gamma.
> 26
>
> ------------------------------
> Page 37
> *5) Mean Band Power *values for all 15 subjects under all stimulus and
> prestimulus
> conditions. Values are in Db/Hz.
>
> Table 7: Mean Band Power Values in Db/Hz for all subjects
> *7Hz 14 Hz 21Hz
> *preBB BB postBB preBB BB postBB preBB BB postBB
>
> Subject Subject Subject
> ID_Freq ID_Freq ID_Freq
> 1_7 3_14 2_21
>
> delta 13.39643 10.27327 9.40414 delta 18.53746 16.09698 12.60519 delta
> 7.447825 7.879632 7.566135
>
> theta 3.213804 1.503029 -1.04299 theta 8.404882 6.666348 4.722896 theta
> -0.27831 1.855506 1.118552
>
> alpha 3.464209 2.207141 -2.52265 alpha 9.047795 6.028326 2.814989 alpha
> 3.730197 4.849102 3.986289
>
> beta -0.13718 -4.60142 -5.30151 beta -0.91792 -2.18732 -3.28766 beta
> -5.76725 -3.94263 -4.44627
>
> gamma -5.1673 -10.184 -6.01457 gamma -3.2478 -4.35031 -5.71946 gamma
> -10.7856 -10.1077 -10.6465
>
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