<div dir="ltr">Dear Stuart and Giulia,<div><br></div><div>Stuart is absolutely right, there is an option for that. Thanks Stuart.</div><div><br></div><div>You should be able to interpolate missing channel by comparing the two datasets that are with and without the channel to be interpolated.</div>
<div><br></div><div>Why don't you try GUI before posting a question? After operating what you want successfully, you can obtain the log by 'eegh'.</div><div><br></div><div>Makoto</div></div><div class="gmail_extra">
<br><br><div class="gmail_quote">2013/7/23 Stuart McGill <span dir="ltr"><<a href="mailto:stu22.mcgill@gmail.com" target="_blank">stu22.mcgill@gmail.com</a>></span><br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr"><div><div><div>Dear <span name="Rampone, Giulia"> Giulia,<br><br></span></div><span name="Rampone, Giulia">In </span><span>EEGLAB</span> (v11.05) you can return the reference electrode back into the data during the average re-referencing in the bottom box of the pop up window. However, I am not sure if this function is available in the latest version of EEGLAB.<br>
<br></div>Hope this helps<span class="HOEnZb"><font color="#888888"><br></font></span></div><span class="HOEnZb"><font color="#888888">Stuart McGill<br></font></span></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra">
<br><br><div class="gmail_quote">On Tue, Jul 23, 2013 at 7:58 PM, Rampone, Giulia <span dir="ltr"><<a href="mailto:Giulia.Rampone@liverpool.ac.uk" target="_blank">Giulia.Rampone@liverpool.ac.uk</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div style="word-wrap:break-word">
<div>Dear Makoto,</div>
<div><br>
</div>
<div>Thank you very much for your response. I apologise for being insistent but I still have a question.</div>
<div>Assuming I accept interpolation as the only solution, I do not have clear how to do.</div>
<div>I usually don't use the GUI. I do the interpolation for bad channels by using the command pop_Interp(EEG, [channel], 'spherical'). </div>
<div>However, this works fine if the (bad)channel exists. </div>
<div>But in this particular case, Cz is removed from the data. </div>
<div>Once I set Cz as reference electrode, I move from 64 to 63 electrodes and channel 48 (which is usually Cz) becomes C2. </div>
<div><br>
</div>
<div>My question is, what I should add to the command in order to restore the Cz channel as channel 48 (even though as interpolated channel) and go back to 64 channels?</div>
<div><br>
</div>
<div>I hope this makes sense.</div>
<div><br>
</div>
<div>Many thanks</div><span><font color="#888888">
<div><br>
</div>
<div>Giulia</div></font></span><div><div>
<div><br>
</div>
<div>
<div>On 22 Jul 2013, at 19:38, Makoto Miyakoshi <<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>> wrote:</div>
<br>
<blockquote type="cite">
<div dir="ltr">Dear Giulia,
<div><br>
</div>
<div>After average referencing you can interpolate the channel to generate your reference channel from main GUI 'Tools' - 'Interpolate electrodes'. You need to have a dataset before rereferencing though to copy its channel info.</div>
<div><br>
</div>
<div>Makoto</div>
</div>
<div class="gmail_extra"><br>
<br>
<div class="gmail_quote">2013/7/21 Rampone, Giulia <span dir="ltr"><<a href="mailto:Giulia.Rampone@liverpool.ac.uk" target="_blank">Giulia.Rampone@liverpool.ac.uk</a>></span><br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Dear all,<br>
<br>
I have Biosemi BDF data file. 64 Channels and reference channel Cz.<br>
My problem consists in retaining the reference channel in my data.<br>
The older version of eeglab9_0_4_5s does that by default.<br>
The version 11_0_4_3, instead, seems to separate the reference electrode from the others and, after computing the average reference, to definitively remove it.<br>
I would like to know what I would be supposed to do to retain the reference channel in my data with this version.<br>
<br>
I thank you very much for any help,<br>
<br>
Best Regards<br>
<br>
Giulia<br>
<br>
Giulia Rampone, PhD student<br>
School of Psychology<br>
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University of Liverpool<br>
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<div dir="ltr">Makoto Miyakoshi<br>
Swartz Center for Computational Neuroscience<br>
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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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