<p dir="ltr">Dear Caro,</p>
<p dir="ltr">The message you are seeing is because of the channel reconstruction you performed.<br>
As I just replied to one question on the list with text that is relevant to your problem, I paste it here (with small modifications) for you:</p>
<p dir="ltr">By interpolating/reconstructing channels you are decreasing the linear independency of the channels and this is where the rank-deficiency problem, discussed several times on the list, emerges (you can learn some more on this by searching the list archive). It is better to interpolate channels after ICA. Actually - EEGlab produces a warning when interpolation is performed on data without ICA weights.<br>
</p>
<div class="gmail_quote">11 wrz 2013 23:10, "Caro Gattei" <<a href="mailto:carogattei@gmail.com">carogattei@gmail.com</a>> napisa³(a):<br type="attribution"><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
<div dir="ltr">Dear all,<div><br></div><div>I am currently running an experiment with a 32 channel equipment (30+ ext) and when I try to run ICA in specific subjects I get a message saying that "EEGLAB has detected that the rank of your data matrix is lower the number of input data channels. This might be because you are including a reference channel or because you are running a second ICA decomposition. The proposed dimension for ICA is 28 (out of 30 channels) rana computation may be innacurate so you may edit this number below. If you do not understand, simply press OK"<br>
</div><div><br></div><div>I found an explanation for the error message on the eegab list that said that the ranking could be reduced de to low-pass filtering (being that I do not have a reference channel and hand't run ICA previously:</div>
<div> <a href="http://sccn.ucsd.edu/pipermail/eeglablist/2012/005110.html" target="_blank">http://sccn.ucsd.edu/pipermail/eeglablist/2012/005110.html</a></div><div><br></div><div>However, I get the same message when I try to run ICA with raw data.</div>
<div><br></div><div>I should mention that we had to reconstruct two channels before the analysis due to equipment problems. Could that account for part of the problem? </div><div><br></div><div>I must also insist on the fact that even when chennels were reconstructed for other subjects, I son-t always get the message.</div>
<div><br></div><div>A second question I have is, should I edit the rank to 30 or should I just run it with 28 components? how would that affect my data?</div><div><br></div><div>Best regards,</div>
<div><br></div><div>Caro</div></div>
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