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<div id="divRpF96621" style="color: rgb(0, 0, 0); direction: ltr; "><span style="font-family: Calibri, sans-serif; font-size: 14px; ">A brief primer o</span><span style="font-size: 14px; "><font face="Calibri">n the advantages of wavelet-based waveform analysis
vs. FFT:</font></span></div>
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<div id="divRpF96621" style="direction: ltr; "><a href="http://www.amara.com/IEEEwave/IW_wave_vs_four.html" target="_blank" rel="noreferrer"><font face="Calibri">http://www.amara.com/IEEEwave/IW_wave_vs_four.html</font></a></div>
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<font style="font-size:10.0pt; font-family:"Tahoma","sans-serif""><b>From</b>: Jeff Eriksen [mailto:eriksenj@ohsu.edu]
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<b>Sent</b>: Tuesday, October 16, 2012 02:18 PM<br>
<b>To</b>: Gregory Perry; eeglablist@sccn.ucsd.edu <eeglablist@sccn.ucsd.edu> <br>
<b>Subject</b>: Re: [Eeglablist] Coherence or Correlation among set of electrodes
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<div>I have several comments on this post:</div>
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<li>Hardware has nothing to do with it – it is software that allows us to localize and correlate</li><li>"hi-res timebase" I suppose means a high sampling rate – this will not help much either as volume conduction is close to the speed of light</li><li>Active electrodes are good for reducing noise and the use of gel, but provide nothing to help with localization or correlation analysis</li><li>"triangulation" implies what the field calls source localization/imaging/analysis etc, and there is a vast body of knowledge and literature on this broad topic available – including using individual cortical folding patterns for modeling the putative generators</li><li>A lot of 3D analysis and research is going on – perhaps you are only familiar with clinical systems?</li></ol>
<div>-Jeff Eriksen</div>
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<span style="font-weight:bold">From: </span>Gregory Perry <<a href="mailto:Gregory.Perry@govirtual.tv" target="_blank">Gregory.Perry@govirtual.tv</a>><br>
<span style="font-weight:bold">Date: </span>Monday, October 15, 2012 7:52 PM<br>
<span style="font-weight:bold">To: </span>"Iman M.Rezazadeh" <<a href="mailto:irezazadeh@ucdavis.edu" target="_blank">irezazadeh@ucdavis.edu</a>>, "<a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a>" <<a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a>><br>
<span style="font-weight:bold">Subject: </span>Re: [Eeglablist] Coherence or Correlation among set of electrodes<br>
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<div style="direction:ltr"><font size="2">Even the most recent generation EEG acquisition hardware leaves a lot to be desired in terms of </font>correlating areas within the brain that are interrelated. This doesn't seem like a hard problem to solve with active
electrodes placed at each 10/20 region, if they all shared a high resolution time base. Think reverse GPS, by measuring timing variances between each electrode site (and especially at EEG spectrum frequencies), there is no reason why specific physical regions
in the brain could not be triangulated for analysis. For extra credit, cortical folding patterns could be integrated with the acquired data to derive subject-specific brainwave signatures.</div>
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<div style="direction:ltr">Current EEG analysis methods are stuck in a 2D world unfortunately.<br>
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<div id="divRpF295272" style="direction:ltr"><font face="Tahoma" size="2" color="#000000"><b>From:</b>
<a href="mailto:eeglablist-bounces@sccn.ucsd.edu" target="_blank">eeglablist-bounces@sccn.ucsd.edu</a> [<a href="mailto:eeglablist-bounces@sccn.ucsd.edu" target="_blank">eeglablist-bounces@sccn.ucsd.edu</a>] on behalf of Iman M.Rezazadeh [<a href="mailto:irezazadeh@ucdavis.edu" target="_blank">irezazadeh@ucdavis.edu</a>]<br>
<b>Sent:</b> Monday, October 15, 2012 8:17 PM<br>
<b>To:</b> <a href="mailto:eeglablist@sccn.ucsd.edu" target="_blank">eeglablist@sccn.ucsd.edu</a><br>
<b>Subject:</b> [Eeglablist] Coherence or Correlation among set of electrodes<br>
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<p class="MsoNormal">Hi, </p>
<p class="MsoNormal">Just wonder if there is a way to calculate the coherence measure between two regions( set of channels—instead of two single channels) in EEGLAB or any other software? In other word, how can we find regions in the brain which their activities
are mostley related to each other using EEG ?</p>
<p class="MsoNormal"> </p>
<p class="MsoNormal">Best,</p>
<p class="MsoNormal">Iman </p>
<p class="MsoNormal"> </p>
<p class="MsoNormal"><span style="font-family:Arial,sans-serif">Iman M.Rezazadeh, PhD</span></p>
<p class="MsoNormal"><span style="font-family:Arial,sans-serif">Center for Mind and Brain</span></p>
<p class="MsoNormal"><span style="font-family:Arial,sans-serif">University of California, Davis</span></p>
<p class="MsoNormal"><span style="font-family:Arial,sans-serif"><a href="mailto:irezazadeh@ucdavis.edu" target="_blank">irezazadeh@ucdavis.edu</a></span></p>
<p class="MsoNormal"><span style="font-family:Arial,sans-serif">cell:310-490-1808</span></p>
<p class="MsoNormal"> </p>
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