<html><head><style>body{font-family:Helvetica,Arial;font-size:12px}</style></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;"><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;">Dear all</div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;"><br></div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;">(Thanks for the previous help regarding my STUDY statistics questions, esp Makoto & Arno –I have been busy with other things but will try your suggestions and see if I can move forward with that in a few weeks. Just thought I’d say thanks anyway)</div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;"><br></div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;">Someone in my lab finished collecting data destined to be analysed through classical ERP averaging. We looked at the data this morning (grand averages from 16+ participants) and it looks like the datasets are suffering from serious alpha contamination. Strong alpha contaminations are present in pretty much all participants. </div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;"><br></div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;">Is there any known way and possibly implemented way to remove the source of the alpha signals which are distorting the data? I thought of ICA immediately but a paper by Vanderperren (ftp://ftp.esat.kuleuven.be/sista/kvanderp/reports/MBEC_655.pdf) seems to claim ICA not to be very good for that and advocates a Parallel Factor Analysis. Has anything like that been implemented?</div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;"><br></div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;">If ICA was to be used have you got any suggestions as to how to go about it (I.e. how to identify good candidates once ICA decomp is done)</div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;"><br></div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;">Cheers,</div><div id="bloop_customfont" style="font-family:Helvetica,Arial;font-size:12px; color: rgba(0,0,0,1.0); margin: 0px; line-height: auto;">Bastien</div><br><div id="bloop_sign_1391102282527833856" class="bloop_sign"><font face="Helvetica"><span style="font-size: 12px;">-- <br>Bastien Boutonnet, Ph.D.<br></span></font><div><font face="Helvetica"><span style="font-size: 12px;">School of Psychology,</span></font></div><div><font face="Helvetica"><span style="font-size: 12px;">Bangor University</span></font></div><div><font face="Helvetica"><span style="font-size: 12px;">bastienboutonnet.com</span></font></div></div></body></html>