<div dir="ltr">Dear Julie,<br><br>> I would like to investigate significant differences between my two conditions of interest when FC1,FC2, and C2 are merged together<br><br>Merged? Do you mean averaged? If so, do you want to do it after computing ERSP, or do you want to concatenate the three time series?<div><br></div><div>Anyway, I have never heard of concatenating channels in that way is supported by the current EEGLAB. You may be able to average ERSP of FC1, FC2, and C2, but you still need to write code to do it.</div><div><br></div><div>Makoto </div><div><br></div><div><br><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Oct 27, 2016 at 9:38 AM, Schneider, Julie <span dir="ltr"><<a href="mailto:jxs114631@utdallas.edu" target="_blank">jxs114631@utdallas.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
<div dir="ltr">
<div id="gmail-m_4289478551442284470divtagdefaultwrapper" style="font-size:12pt;color:rgb(0,0,0);font-family:calibri,arial,helvetica,sans-serif">
<p>Greetings,</p>
<p><br>
</p>
<p>Using the EEGlab toolbox, I have created a study and can plot the ERSP for an individual electrode, but cannot plot the average of multiple channels. Specifically, I would like to investigate significant differences between my two conditions of interest
when FC1,FC2, and C2 are merged together. In attempting to solve this problem, I found a previous inquiry on the eeglab listserv:</p>
<p><a href="https://sccn.ucsd.edu/pipermail/eeglablist/2011/004188.html" class="gmail-m_4289478551442284470OWAAutoLink" id="gmail-m_4289478551442284470LPlnk406114" target="_blank">https://sccn.ucsd.edu/<wbr>pipermail/eeglablist/2011/<wbr>004188.html</a>.</p>
<p><br>
</p>
<p>I have successfully been able to follow a portion of Arno's response ["<i>erspdata may then contain data of size (5 elecs x 12 subjects) for example when plotting scalp topographies.
</i><u style="font-style:italic">You may then average the first dimension</u>"]; however, I have not been able to successfully " <i>replot the result"</i>. The clear issue being that the new variable created by averaging this dimension [which is actually
the third dimension in my data, and is executed using M=mean(my cell array, 3)] can not be plotted using std_erspplot because it is not a variable within the study. Other methods of plotting, such as image, imagesec, ft_plot_topo, and various attempts through
the Fieldtrip toolbox, have proven unsuccessful.</p>
<p><br>
</p>
<p>Any additional information on how I may plot these merged channel files would be greatly appreciated. Further, the eeglablist question to which I am referencing was posted circa 2011, and I would imagine there may be newer methods/plug-ins that allow for
this analysis to be conducted. Any recommendations that follow another methodology are welcomed and appreciated!</p>
<p><br>
</p>
<p>Best Regards,</p>
<p>Julie<br>
</p>
<p><br>
</p>
<div id="gmail-m_4289478551442284470Signature">
<div id="gmail-m_4289478551442284470divtagdefaultwrapper" style="font-size:12pt;color:rgb(0,0,0);background-color:rgb(255,255,255);font-family:calibri,arial,helvetica,sans-serif">
<p>Julie M. Schneider, M.S.</p>
<p>Doctoral Student</p>
<p>The Developmental Neurolinguistics Lab</p>
<p>Brain and Behavioral Sciences, University of Texas at Dallas</p>
<p><br>
</p>
</div>
</div>
</div>
</div>
<br>______________________________<wbr>_________________<br>
Eeglablist page: <a href="http://sccn.ucsd.edu/eeglab/eeglabmail.html" rel="noreferrer" target="_blank">http://sccn.ucsd.edu/eeglab/<wbr>eeglabmail.html</a><br>
To unsubscribe, send an empty email to <a href="mailto:eeglablist-unsubscribe@sccn.ucsd.edu">eeglablist-unsubscribe@sccn.<wbr>ucsd.edu</a><br>
For digest mode, send an email with the subject "set digest mime" to <a href="mailto:eeglablist-request@sccn.ucsd.edu">eeglablist-request@sccn.ucsd.<wbr>edu</a><br></blockquote></div><br><br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr">Makoto Miyakoshi<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br></div></div>
</div></div></div>