<div dir="ltr">Dear James,<div><br></div><div>If you want to see a time-varying scalp topos of the STUDY ERPs, it's a bit tricky. They do change scalp top patterns along with latency due to time-varying ERPs and averaging across ICs.</div>
<div><br></div><div>In the std_envtopo(), the solution is coded. However it should be hard to figure out how it is addressed and therefore not recommended, though that's like the only way to address it correctly.</div>
<div><br></div><div>If you haven't tried std_envtopo() I recommend you try it out first.</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Mon, Jun 23, 2014 at 10:29 AM, James Jones-Rounds <span dir="ltr"><<a href="mailto:jj324@cornell.edu" target="_blank">jj324@cornell.edu</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">Thank you Makoto! However, what I am specifically interested in is the topoplot of the cluster ERP..I suppose I will just feed topoplot the STUDY.cluster.erp field in as the "datavector", in order to plot what I'm after?<div>
<br></div><div>Thank you,</div><div><br></div><div>James<div><div class="h5"><br><div><div class="gmail_extra"><br><br><div class="gmail_quote">On Mon, Jun 23, 2014 at 1:26 PM, Makoto Miyakoshi <span dir="ltr"><<a href="mailto:mmiyakoshi@ucsd.edu" target="_blank">mmiyakoshi@ucsd.edu</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">Dear James,<div><br></div><div>The topoplot help says: </div><div><br></div><div><div>>> topoplot(datavector, EEG.chanlocs); % plot a map using an EEG chanlocs structure</div>
</div><div><br></div><div>
This means that if you have EEG.chanlocs (which you must have if you are set up with your channels correctly using EEGLAB) and channel values you can plot scalp topo of whatever kind.</div><div><br></div><div>For example, let's say you have -1 to 2 sec epoch, sampled at 250 Hz, 64 channels, and 100 trials. Your EEG.data should be 64x750x100. If you want to show the scalp topo of the mean ERP between 100 to 250 ms, it can be done by (off the top of my head)</div>
<div><br></div><div>topoplot(mean(mean(EEG.data(:,[275:313],:),2),3), EEG.chanlocs)</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><br><div class="gmail_quote"><div><div>On Fri, Jun 20, 2014 at 12:18 PM, James Jones-Rounds <span dir="ltr"><<a href="mailto:jj324@cornell.edu" target="_blank">jj324@cornell.edu</a>></span> wrote:<br>
</div></div><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div><div><div dir="ltr">Hello all,<div><br></div><div>I am trying to generate topographic ERP plots (i.e. scalp maps) at just specific latencies, from my component clusters. The EEGLAB website seems to say it's not possible:</div>
<div><br></div><div><span style="font-family:arial,sans-serif;font-size:13px">I found this on the EEGLAB website (</span><a href="http://sccn.ucsd.edu/wiki/Chapter_06:_Study_Statistics_and_Visualization_Options" style="font-family:arial,sans-serif;font-size:13px" target="_blank">http://sccn.ucsd.edu/wiki/Chapter_06:_Study_Statistics_and_Visualization_Options</a><span style="font-family:arial,sans-serif;font-size:13px">):</span><div style="font-family:arial,sans-serif;font-size:13px">
<span style="color:rgb(0,0,0);font-family:sans-serif;line-height:19.049999237060547px">"Finally, for data channels (but not for component clusters) an additional option is available to plot ERP scalp maps at specific latencies. "</span></div>
<div style="font-family:arial,sans-serif;font-size:13px"><span style="color:rgb(0,0,0);font-family:sans-serif;line-height:19.049999237060547px"><br></span></div><div style="font-family:arial,sans-serif;font-size:13px"><span style="color:rgb(0,0,0);font-family:sans-serif;line-height:19.049999237060547px">Does anyone know how to do this for component cluster ERPs? Thank you in advance!!</span></div>
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<div style="font-family:arial,sans-serif;font-size:13px"><span style="color:rgb(0,0,0);font-family:sans-serif;line-height:19.049999237060547px"><br></span></div><div style="font-family:arial,sans-serif;font-size:13px"><span style="color:rgb(0,0,0);font-family:sans-serif;line-height:19.049999237060547px">James</span></div>
<div style="font-family:arial,sans-serif;font-size:13px"><span style="color:rgb(0,0,0);font-family:sans-serif;line-height:19.049999237060547px"><br></span></div>-- <br><div dir="ltr"><div>James Jones-Rounds</div>Laboratory Manager<br>
Human Development EEG and Psychophysiology (HEP) Laboratory,<div>Department of Human Development,<br>--------------------------------------------<br>Cornell University | Ithaca, NY<br></div><div><a href="tel:607-255-9883" value="+16072559883" target="_blank">607-255-9883</a></div>
<div><a href="mailto:eeg@cornell.edu" target="_blank">eeg@cornell.edu</a></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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</blockquote></div><br><br clear="all"><div><br></div>-- <br><div dir="ltr"><div>James Jones-Rounds</div>Laboratory Manager<br>Human Development EEG and Psychophysiology (HEP) Laboratory,<div>Department of Human Development,<br>
--------------------------------------------<br>Cornell University | Ithaca, NY<br></div><div><a href="tel:607-255-9883" value="+16072559883" target="_blank">607-255-9883</a></div><div><a href="mailto:eeg@cornell.edu" target="_blank">eeg@cornell.edu</a></div>
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</blockquote></div><br><br clear="all"><div><br></div>-- <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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