Le - I believe ICA should work well if trained on high-passed (> 1Hz) data then applied to the wider-band (> 0.1 Hz) data. However, in any case you should carefully scrutinize the output...<div><br></div><div>Scott <div>
<br><div class="gmail_quote">On Tue, Oct 16, 2012 at 3:22 PM, Thang Le <span dir="ltr"><<a href="mailto:Thang.Le@park.edu" target="_blank">Thang.Le@park.edu</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
Thanks, Scott. Do you know these methods can be used on data with a low high pass filter? The reason why I wanted to use Gratton was because I've applied a high pass filter of 0.1Hz, which seems to be too low for ICA. From what I understand Gratton is not sensitive to such a low high pass. Unfortunately, I have not been able to work out how to use Gratton nor my attempt to contact the author of the plugin has been successful. <br>
<span class="HOEnZb"><font color="#888888">
<br>Le</font></span><div class="HOEnZb"><div class="h5"><br><br><div class="gmail_quote">On Tue, Oct 16, 2012 at 6:09 PM, Scott Makeig <span dir="ltr"><<a href="mailto:smakeig@gmail.com" target="_blank">smakeig@gmail.com</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
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<div><div><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><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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<div><br></div></div></div><span><font color="#888888">
-- <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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</div></div></blockquote></div><br><br clear="all"><div><br></div>-- <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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