<div dir="ltr">Dear Ahmed,<div><br></div><div>Is using wavelet transform (newtimef function in the EEGLAB) not good to do that?</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">
On Fri, Jun 6, 2014 at 8:45 AM, Ahmed Al-Samarrai <span dir="ltr"><<a href="mailto:samarrai.a@googlemail.com" target="_blank">samarrai.a@googlemail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr">Hi!<div>I assume using the 'Simple ERP Study' will not extract ERD plots and magnitudes from raw EEG data? </div><div><br></div><div>In which case would the best way to do this in EEGLAB be:<div><br>
</div><div>1) First remove artefacts</div><div>2) Then epoch the data</div><div>3) Filter between 7Hz and 25Hz using the FIR filter</div><div>4) Use a single plot for each person (and not averaging the ERD - I hear this can cancel the actual plot even if the trial start times were the same - due to the ERD time delay being naturally different from trial to trial).</div>
<div>5) Do a spectral plot and using the power value compare the ERD max value of each person / or doing a time plot and using the cross hairs to find the max value.</div><div><br></div><div>6) If I then want to compare two sets of ERD plots for two conditions, I should then use the above filtered epoched ERD in a 'Study' and then Plot Channel Measures to find the p-value?</div>
<div><br></div><div>Thank you.</div><div>Sorry I am new to this.</div><div>Kind wishes</div><span class="HOEnZb"><font color="#888888"><div>Ahmed.</div></font></span></div></div>
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-- <br><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div>
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