<html><body><div style="color:#000; background-color:#fff; font-family:arial, helvetica, sans-serif;font-size:10pt"><div class="" style=""><span style="font-size:10.0pt;mso-fareast-font-family:"Times New Roman"" class="">Dears<o:p class="" style=""></o:p></span></div><div class="" style=""><span class="" style="">Have a nice day. Kindly I have a question regarding ICA:</span><br class="" style="">
<span class="" style="">I have EEG data of (44 channels X 294000 samples)</span><br class="" style="">
<br class="" style="">
<span class="" style="">1- I applied the ICA to separate the noise and
find the ICs which are belong to brain activities.</span><br class="" style=""><span class="" style="">2- I used the Granger Causality (GC) in SIFT to
find the connectivity between these ICs and discover which component influence
which. However I am not sure about the results that I have got.</span></div><div class="" style="color: rgb(0, 0, 0); font-size: 13px; font-family: arial, helvetica, sans-serif; font-style: normal; background-color: transparent;"><br class="" style="">
<span class="" style="">My question is that If I used ICA to decompose the
EEG signal into their sources (hint: the decomposed ICs is much less than the
actual brain sources), theoretically these ICs would be independent, and the
use of GC would be useless since the latter algorithm search for the dependence
across ICs?</span><br class="" style="">
<span class="" style="">Or the ICA will minimize the mutual information, and the separated components will not be ~100% independent, therefore each component has more that one source,
and GC can find some influence across these components for the remaining not separated sources. </span><span style="font-size:10.0pt;mso-fareast-font-family:"Times New Roman"" class=""><o:p class="" style=""></o:p></span></div><div class="" style=""><span style="font-size:10.0pt;mso-fareast-font-family:"Times New Roman"" class=""> </span></div><div class="" style=""><span class="" style="">Your cooperation is highly appreciated</span><span style="font-size:10.0pt;mso-fareast-font-family:"Times New Roman"" class=""><o:p class="" style=""></o:p></span></div><div class="" style=""><span style="font-size:10.0pt;mso-fareast-font-family:"Times New Roman"" class=""> </span></div><div class="" style=""><span class="" style="">Yours</span><span style="font-size:10.0pt;mso-fareast-font-family:
"Times New Roman"" class=""><o:p class="" style=""></o:p></span></div><div class="" style=""><span class="" style="">Salim Al-Wasity</span><span style="font-size:10.0pt;
mso-fareast-font-family:"Times New Roman"" class=""><o:p class="" style=""></o:p></span></div><div class="" style=""><span class="" style="">PhD student</span><span style="font-size:10.0pt;
mso-fareast-font-family:"Times New Roman"" class=""><o:p class="" style=""></o:p></span></div><div class="" style=""><span class="" style="">Rehabilitation Centre</span><span style="font-size:
10.0pt;mso-fareast-font-family:"Times New Roman"" class=""><o:p class="" style=""></o:p></span></div><div class="" style=""><span class="" style="">Biomedical Engineering Department-School of Engineering</span><span style="font-size:10.0pt;mso-fareast-font-family:"Times New Roman"" class=""><o:p class="" style=""></o:p></span></div><div class="" style=""><span class="" style="">University of Glasgow</span><span style="font-size:
10.0pt;mso-fareast-font-family:"Times New Roman"" class=""><o:p class="" style=""></o:p></span></div><div class="" style=""><span class="" style="">Glasgow-United Kingdom</span><span style="font-size:
10.0pt;mso-fareast-font-family:"Times New Roman"" class=""><o:p class="" style=""></o:p></span></div><div class="" style="">
</div><div class="" style=""><span class="" style="">+44 742 371 4444</span><span style="font-size:10.0pt;
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