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<div><div dir="ltr">Hi people<br>
<br>
I have a limited time to export the mean band power and phase coherence for different frequency bands in my eeg data. <br>
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I have been testing the affcect of audio entrainment tones (binaural beats etc) in the brain.<br>
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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.<br>
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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.<br>
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Any help would be great<br>
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Regards - Guy Richardson, Hull university<br>
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<p style="font-size:11.04pt" class="ecxF8"><span>4) Mean Spectral Power:</span><br></p>
<span style="font-size:11.04pt">On finding 5 largest contributing components for specific frequency, the spectral power for</span><br><span style="font-size:11.04pt">those components is found using </span><span style="font-size:11.04pt" class="ecxF4"><em>spectopo </em></span><span style="font-size:11.04pt">function as below:</span><br><br>
<p style="font-size:11.04pt"><span>[spectra, freqs, speccomp, contrib, specstd]=spectopo(EEG.icaact, EEG.pnts, EEG.srate, 'freq',</span><br><span>[8 12], 'chanlocs', EEG.chanlocs, 'nfft', 128, 'winsize', 128, 'overlap', 64);</span><br></p>
<span style="font-size:11.04pt" class="ecxF6">(Note: “EEG” is a Matlab structure which carries all the EEG data. EEG.icaact : All EEG</span><br><span style="font-size:11.04pt">components computed by ICA, and so on.)</span><br><br>
<p style="font-size:11.04pt"><span>Above function computes spectral power for all components, so the largest 5 components are</span><br><span>selected and their power in db/Hz are averaged over the frequency band. Average of individual</span><br><span>components is again averaged as a mean power for specific frequency band.</span><br></p>
<p style="font-size:11.04pt"><span>For each subject this mean spectral power is calculated for all known frequency bands for EEG,</span><br><span>viz. delta, theta, alpha, beta and gamma.</span><br></p>
<span>26</span><br><br>
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<div class="ecxsectionClass">Page 37</div>
<span class="ecxF8"><strong>5) Mean Band Power </strong></span><span>values for all 15 subjects under all stimulus and prestimulus</span><br><span>conditions. Values are in Db/Hz.</span><br><br>
<p style="font-size:9.96pt" class="ecxF8"><span>Table 7: Mean Band Power Values in Db/Hz for all subjects</span><br></p>
<strong><span style="font-size:11.04pt" class="ecxF8">7Hz 14 Hz 21Hz</span><br></strong><span style="font-size:9.96pt">preBB BB postBB preBB BB postBB preBB BB postBB</span><br><br>
<p style="font-size:9.96pt"><span>Subject Subject Subject</span><br><span>ID_Freq ID_Freq ID_Freq</span><br><span>1_7 3_14 2_21</span><br></p>
<p style="font-size:9.96pt"><span>delta 13.39643 10.27327 9.40414 delta 18.53746 16.09698 12.60519 delta 7.447825 7.879632 7.566135</span><br></p>
<p style="font-size:9.96pt"><span>theta 3.213804 1.503029 -1.04299 theta 8.404882 6.666348 4.722896 theta -0.27831 1.855506 1.118552</span><br></p>
<p style="font-size:9.96pt"><span>alpha 3.464209 2.207141 -2.52265 alpha 9.047795 6.028326 2.814989 alpha 3.730197 4.849102 3.986289</span><br></p>
<p style="font-size:9.96pt"><span>beta -0.13718 -4.60142 -5.30151 beta -0.91792 -2.18732 -3.28766 beta -5.76725 -3.94263 -4.44627</span><br></p>
<p style="font-size:9.96pt"><span>gamma -5.1673 -10.184 -6.01457 gamma -3.2478 -4.35031 -5.71946 gamma -10.7856 -10.1077 -10.6465</span><br></p> </div></div> </div></body>
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