<div dir="ltr">Dear David,<div><br></div><div>I found your decomposition results are very poor, and I'm sorry for saying this.</div><div>Would you mind trying this?</div><div><br></div><div>1. Filter the data with bandpass 1-50 Hz using eegfiltnew() from GUI (use the latest EEGLAB)</div>
<div>2. Reject bad epoch/time window. If you don't feel like spending too long time on this, use my plugin trimOutlier</div><div><a href="http://sccn.ucsd.edu/wiki/Plugin_list_process">http://sccn.ucsd.edu/wiki/Plugin_list_process</a><br>
</div><div>3. Run ICA.</div><div><br></div><div>Note that </div><div>1. 15Hz low-pass could have made the rank deficient</div><div>2. short baseline subtraction may have compromised ICA</div><div>3. z-normalized, for each channel? That is bad for ICA. ICA examines across-channel amplitudes for every single datapoint. </div>
<div><br></div><div>And how many datapoints do you have for ICA? Make sure it is more than (channel^2)*20.</div><div><br></div><div>Makoto</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">2014-04-09 8:01 GMT-07:00 David Kaufman <span dir="ltr"><<a href="mailto:david.kaufman@gmx.de" target="_blank">david.kaufman@gmx.de</a>></span>:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Dear EEGLAB list,<div><br></div><div>I'm trying to extract independent components for my ERP single trial analysis. I'm receiving these components by filtering my raw data with a low pass filter of 15 Hz and extracting trials with stimulus onset. The base line of the trials is removed by using a pre-trial of 300 ms. Non-trials are cut out before the pre-trial. All trials, i.e. non-trials and trials are z normalized and concatenated and fed to the amica [0] function. </div>
<div><br></div><div>The resulting components look like this:</div><div><a href="https://dl.dropboxusercontent.com/u/2635172/AMICA.png" target="_blank">https://dl.dropboxusercontent.com/u/2635172/AMICA.png</a><br></div><div>
<br></div><div>
As you can see many components are localized around one electrode (3,4,5,6,8,9,10,11,12, ...). Almost all of my subjects have these focused components. Is this normal or do I have a error in my setup? Any help is greatly appreciated.</div>
<div><br></div><div>[0] <a href="http://sccn.ucsd.edu/~jason/amica_web.html" target="_blank">http://sccn.ucsd.edu/~jason/amica_web.html</a><br></div><div><br></div><div>Regards,<br></div><div>David</div></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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