<html><head></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space; ">Hi,<div><br></div><div>You also might be interested in our very recent paper in which we address these issues: We investigate a wide range of ocular artifacts and show why ICA is in principle suited to independently remove eye movement artifacts while regression based methods are prone to over- or under-correct the data. <font class="Apple-style-span" face="Arial">Furthermore we propose a procedure<span class="Apple-style-span" style="font-size: 13px; font-weight: 300; ">, which uses eye tracker information to objectively identify
eye-artifact related ICA-components (ICs) in an automated manner. </span>For our data this procedure performed very similar to human experts when those were given
both, the topographies of the ICs and their respective activations in a large amount of
trials. Moreover it performed more reliable and almost twice as effective than human
experts when those had to base their decision on IC topographies only.</font></div><div><font class="Apple-style-span" face="Arial"><br></font></div><div><font class="Apple-style-span" face="Arial">You can access the paper via the following link:</font></div><div><font class="Apple-style-span" face="Arial"><br></font></div><div><font class="Apple-style-span" face="Arial"><a href="http://www.frontiersin.org/Human_Neuroscience/10.3389/fnhum.2012.00278/full">http://www.frontiersin.org/Human_Neuroscience/10.3389/fnhum.2012.00278/full</a></font></div><div><font class="Apple-style-span" face="Arial"><br></font></div><div><font class="Apple-style-span" face="Arial">I hope this is helpful.</font></div><div><font class="Apple-style-span" face="Arial"><br></font></div><div><font class="Apple-style-span" face="Arial">Best, </font></div><div><font class="Apple-style-span" face="Arial">Michael</font></div><div><font class="Apple-style-span" face="Arial"><br></font><div><div>On Oct 17, 2012, at 12:09 AM, Scott Makeig wrote:</div><br class="Apple-interchange-newline"><blockquote type="cite">We routinely and quite successfully use ICA decomposition for this. Both CORRMAP and a new function by Nima Bigdely-Shamlo are quite good, we believe, at indicating which ICs (independent components) account for eye movements... <div>
<br></div><div>Scott Makeig<br><br><div class="gmail_quote">On Tue, Oct 16, 2012 at 10:09 AM, Ricardo Moura <span dir="ltr"><<a href="mailto:ricardoojm@gmail.com" target="_blank">ricardoojm@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">By the way, does anyone know a plugin for ocular correction which can be aplyed to continuous data? <div>I've checked and this plugin reported in the first email only works for segmented data.</div>
<div><br></div><div>
Best,</div><div>Ricardo<div><div class="h5"><br><br><div class="gmail_quote">On 11 October 2012 22:36, Arnaud Delorme <span dir="ltr"><<a href="mailto:arno@ucsd.edu" target="_blank">arno@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 style="word-wrap:break-word">Dear Le,<div><br></div><div>the correction method you mention is an EEGLAB plugin so you might want to contact the authors of the plugin directly.</div><div>The problem might be that the plugin only works on continuous data not on segmented data.</div>
<div>Hope this helps,</div><div><br></div><div>Arno</div><div><br><div><div><div><div>On 2 Oct 2012, at 08:17, Thang Le wrote:</div><br></div></div><blockquote type="cite"><div><div><font face="Default Sans Serif,Verdana,Arial,Helvetica,sans-serif">Hi everyone,<br>
<br>I
am running into a problem with the Gratton's ocular correction method
in EEGLAB and I was wondering whether you could help me troubleshoot. <br><br>I have been attempting to apply
the Gratton's ocular correction method to a 64-channel data set. The two
EOG channels are 65 and 66. So far I have downsampled the data to
256Hz, rereferenced and segmented. The values I used for Gratton's were: <br><br>Number of EOG channel for regression: [65 66]<br>Channels: [1 64]<br>Window for Blink-detection: 24<br>Voltage for Blink-detection: 200<br>
<br>However, EEGLAB would give me an error message that says "To RESHAPE the number
of elements must not change". I wasn't sure what to use for blink window but it does not look like 24 is the right value.<br><br>Thank you so much for your help.<br><br>Le<br></font></div></div>
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-- <br>Scott Makeig, Research Scientist and Director, Swartz Center for Computational Neuroscience, Institute for Neural Computation, University of California San Diego, La Jolla CA 92093-0559, <a href="http://sccn.ucsd.edu/%7Escott" target="_blank">http://sccn.ucsd.edu/~scott</a><br>
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