Dear Jeff,<div><br></div><div>No. But this is nothing new. Imagine you obtain wavelet transform of entire continuous data first and then epoch from it. What you do is exactly the same as this IF AND ONLY IF your epoch length is completely equal to your ISI (this is very important point). </div>
<div><br></div><div>Makoto<br><br><div class="gmail_quote">2013/3/27 Boissoneault, Jeff <span dir="ltr"><<a href="mailto:jboissoneault@ufl.edu" target="_blank">jboissoneault@ufl.edu</a>></span><br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">Makoto,
<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">Thank you for your help! I’ve applied your solution and after some searching of the eeglablist archives, I’ve been able to extract the relevant values from
the pop_newtimef procedure with an example subject. The sandwiching/concatenation procedure worked well.<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">My follow-up question is whether you aware of any published works which have used this method. It would be helpful to be able to provide some examples where
this procedure has been used when I eventually submit the paper I am writing for publication.<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">Thanks again-<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d">Jeff B.<u></u><u></u></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1f497d"><u></u> <u></u></span></p>
<p class="MsoNormal"><b><span style="font-size:10.0pt;font-family:"Tahoma","sans-serif"">From:</span></b><span style="font-size:10.0pt;font-family:"Tahoma","sans-serif""> Makoto Miyakoshi [mailto:<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</a>]
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<b>Sent:</b> Friday, March 22, 2013 6:13 PM<br>
<b>To:</b> Boissoneault, Jeff<br>
<b>Cc:</b> <a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a><br>
<b>Subject:</b> Re: [Eeglablist] ERSP Analysis Question<u></u><u></u></span></p><div><div class="h5">
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<p class="MsoNormal">Dear Jeff,<u></u><u></u></p>
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<p class="MsoNormal">When epoch your data, use your entire ISI so that when you concatenate the epochs you reproduce the continuity. Then use this solution (attached) twice to concatenate the epochs, and extract -1 to 2 sec epoch. This will make your data redundant
but works well for ERSP/ITC.<u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">We use Morlet, so for obtaining a good ERSP/ITC we recommend you use lowest 3 Hz at 3 cycle which gives you 1116 ms window length, so you'll need -1 to 2 sec epoch length.<u></u><u></u></p>
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<p class="MsoNormal" style="margin-bottom:12.0pt">Makoto<u></u><u></u></p>
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<p class="MsoNormal">2013/3/22 Boissoneault, Jeff <<a href="mailto:jboissoneault@ufl.edu" target="_blank">jboissoneault@ufl.edu</a>><u></u><u></u></p>
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<p class="MsoNormal">Hello All,<u></u><u></u></p>
<p class="MsoNormal"> <u></u><u></u></p>
<p class="MsoNormal">Our lab recently transitioned from NeuroScan’s proprietary suite to MATLAB/EEGLAB, and I feel comfortable using the software for ERPs. However, we would like to examine event related
spectral perturbations in 1 s epochs (w/ 200ms baseline) extracted from recordings taken during a working memory task. The task consists of three trial blocks which vary by instruction set. The sampling rate is 500 Hz. In particular, we’d like to compare late
alpha power from 500-650 ms and early gamma power from 100-200 ms between the three blocks.
<u></u><u></u></p>
<p class="MsoNormal"> <u></u><u></u></p>
<p class="MsoNormal">I would really appreciate any insight into how we might best conduct the ERSP analysis. Thanks in advance for any help!<u></u><u></u></p>
<p class="MsoNormal"> <u></u><u></u></p>
<p class="MsoNormal">--
<u></u><u></u></p>
<p class="MsoNormal">Jeff Boissoneault, Ph.D.<u></u><u></u></p>
<p class="MsoNormal">Postdoctoral Associate<u></u><u></u></p>
<p class="MsoNormal">Department of Psychiatry<u></u><u></u></p>
<p class="MsoNormal">University of Florida<u></u><u></u></p>
<p class="MsoNormal"> <u></u><u></u></p>
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<p class="MsoNormal"><u></u> <u></u></p>
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<p class="MsoNormal">-- <br>
Makoto Miyakoshi<br>
JSPS Postdoctral Fellow for Research Abroad<br>
Swartz Center for Computational Neuroscience<br>
Institute for Neural Computation, University of California San Diego<u></u><u></u></p>
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</blockquote></div><br><br clear="all"><div><br></div>-- <br>Makoto Miyakoshi<br>JSPS Postdoctral Fellow for Research Abroad<br>Swartz Center for Computational Neuroscience<br>Institute for Neural Computation, University of California San Diego<br>
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