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<p class=MsoNormal><b><span lang=EN-US style='font-size:10.0pt;font-family:
"Tahoma","sans-serif"'>From:</span></b><span lang=EN-US style='font-size:10.0pt;
font-family:"Tahoma","sans-serif"'> Francisco Muñoz Muñoz
[mailto:fmunoz@psi.uned.es] <br>
<b>Sent:</b> miércoles, 29 de julio de 2009 10:04<br>
<b>To:</b> 'eeglablist@sccn.ucsd.edu'<br>
<b>Subject:</b> FW: PCA and source localisation<o:p></o:p></span></p>
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<p class=MsoNormal><o:p> </o:p></p>
<p class=MsoNormal><span style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal>Dear <span style='color:#1F497D'>all</span>:<o:p></o:p></p>
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<span lang=EN-US>Given that PCA analysis tries to get together as much as
possible channel information into a given number of principal components (e.g.,
10), I wonder if it has any sense to carry out some component source analysis, for
instance, by applying LORETA on the first principal component.<o:p></o:p></span></p>
<p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p>
<p class=MsoNormal><span lang=EN-US>Thank you for your help<span
style='color:#1F497D'>…</span><o:p></o:p></span></p>
<p class=MsoNormal><span lang=EN-US style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span lang=EN-US>Al the best,<o:p></o:p></span></p>
<p class=MsoNormal><span lang=EN-US style='color:#1F497D'><o:p> </o:p></span></p>
<p class=MsoNormal><span lang=EN-US>Francisco Muñoz Muñoz<o:p></o:p></span></p>
<p class=MsoNormal><span lang=EN-US>Dpt. of Basic Psychology at the UNED
university<o:p></o:p></span></p>
<p class=MsoNormal><span lang=EN-US>Madrid, Spain<o:p></o:p></span></p>
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