<html><head><meta http-equiv="content-type" content="text/html; charset=utf-8"></head><body dir="auto"><p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p><div dir="ltr"></div><div dir="ltr"><div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);">Hi, </span></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);"><br></span></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);">it does not look so bad to me.</span></div></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);">I would not call that “all over the place”.</span></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);">Perhaps there is a bit of noise but you seem to capture the main components. How many components it takes to describe your artefact not only depends on the number of channels but also on how long the recording is, if there were head movements and on your filter settings. You can for example lowpass filter your data at 2hz at fit-time or fit ICA run by run</span></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);">to mitigate issues with non-stationarity that may drive up your component numbers.</span></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);">Anyways, your plot does look rather encouraging to me, having 2-3 more components than expected is not a catastrophe if the results are ok.</span></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);">Did you look at the overlay plots to see how the average EOG looks after rejection?</span></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);"><br></span></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);">Hope that helps,</span></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);">Denis</span></div><div dir="auto"><span style="background-color: rgba(255, 255, 255, 0);"><br></span></div><div><div class="gmail_quote" style="width: 343px; overflow-x: scroll;"><div dir="ltr" class="gmail_attr"><span style="background-color: rgba(255, 255, 255, 0);">On Tue 13 Aug 2019 at 20:24, Bianca Islas, BS <<a href="mailto:biancaisla1@gmail.com">biancaisla1@gmail.com</a>> wrote:<br></span></div><blockquote class="gmail_quote" style="width: 343px; overflow-x: scroll; margin: 0px 0px 0px 0.8ex; border-left-color: rgb(204, 204, 204); padding-left: 1ex;"><div lang="EN-US" link="blue" vlink="#954F72"><p><span style="padding: 3px 10px; border-top-left-radius: 5px; border-top-right-radius: 5px; border-bottom-right-radius: 5px; border-bottom-left-radius: 5px; font-weight: bold; display: inline-block; caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);"><font color="#000000"> External Email - Use Caution </font></span></p><p></p><div class="m_-1167904125953410436WordSection1"><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);">MNE Team,</span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);"><u></u> <u></u></span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);">First and foremost we’d like to thank you for the responses and suggestions to our last email. As we get closer to finalizing our Py script, you have all certainly given us some food for thought.</span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);"><u></u> <u></u></span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);">We now have a new concern relating to the ICA analysis. We have been consulting the documentation and have followed the tutorial for ICA analysis: </span></font></p><p class="MsoNormal"><a href="https://mne.tools/stable/auto_tutorials/preprocessing/plot_artifacts_correction_ica.html" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://mne.tools/stable/auto_tutorials/preprocessing/plot_artifacts_correction_ica.html&source=gmail&ust=1565807137953000&usg=AFQjCNEMdKpj8NuS1FCiM5ifXo_qzJPU-A" style="pointer-events: none; cursor: default; caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);"><font color="#000000" face="UICTFontTextStyleBody" size="3">https://mne.tools/stable/auto_<wbr>tutorials/preprocessing/plot_<wbr>artifacts_correction_ica.html</font></a></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);"><u></u> <u></u></span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);">However, our component scores seem to be all over the place. It’s also saying that there are three EOG channels in the latent sources plot, when there should only be HEO and VEO. Historically, we have used the Semlitsch algorithm [Semlitsch HV, Anderer P, Schuster P, Presslich O., (1986) A solution for reliable and valid reduction of ocular artifacts, applied to the P300 ERP, <i>Psychophysiology,23</i>(6):695-<wbr>703] with no issues. Is there a way to use this method in MNE-Python instead? We realize that the Semlitsch algorithm may be outdated, is there a reason/reference ICA may stand apart from this algorithm?</span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);"><u></u> <u></u></span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);">As always thank you for your assistance,</span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);"><u></u> <u></u></span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);">UNLV PEPLab</span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);">Bianca Islas</span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);">Research Assistant</span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);"><u></u> <u></u></span></font></p><p class="MsoNormal"><font color="#000000" face="UICTFontTextStyleBody" size="3"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);"><u></u> <u></u></span></font></p></div></div><font color="#000000"><span style="caret-color: rgb(0, 0, 0); background-color: rgba(255, 255, 255, 0);">______________________________<wbr>_________________<br>Mne_analysis mailing list<br><a href="mailto:Mne_analysis@nmr.mgh.harvard.edu" target="_blank" style="pointer-events: none; cursor: default;">Mne_analysis@nmr.mgh.harvard.e<wbr>du</a><br><a href="https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis" rel="noreferrer" target="_blank" data-saferedirecturl="https://www.google.com/url?q=https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis&source=gmail&ust=1565807137953000&usg=AFQjCNF7NSDLPfPDywuWwkrDIj0VpJWlNA" style="pointer-events: none; cursor: default;">https://mail.nmr.mgh.harvard.e<wbr>du/mailman/listinfo/mne_analys<wbr>is</a></span></font></blockquote><div><br></div></div></div></div><div dir="ltr"><br>On 13 Aug 2019, at 20:23, Bianca Islas, BS <<a href="mailto:biancaisla1@gmail.com">biancaisla1@gmail.com</a>> wrote:<br><br></div><blockquote type="cite"><div dir="ltr"><meta http-equiv="Content-Type" content="text/html; charset=utf-8"><meta name="Generator" content="Microsoft Word 15 (filtered medium)"><style><!--
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--></style><p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p><div class="WordSection1"><p class="MsoNormal">MNE Team,</p><p class="MsoNormal"><o:p> </o:p></p><p class="MsoNormal">First and foremost we’d like to thank you for the responses and suggestions to our last email. As we get closer to finalizing our Py script, you have all certainly given us some food for thought.</p><p class="MsoNormal"><o:p> </o:p></p><p class="MsoNormal">We now have a new concern relating to the ICA analysis. We have been consulting the documentation and have followed the tutorial for ICA analysis: </p><p class="MsoNormal"><a href="https://mne.tools/stable/auto_tutorials/preprocessing/plot_artifacts_correction_ica.html">https://mne.tools/stable/auto_tutorials/preprocessing/plot_artifacts_correction_ica.html</a></p><p class="MsoNormal"><o:p> </o:p></p><p class="MsoNormal">However, our component scores seem to be all over the place. It’s also saying that there are three EOG channels in the latent sources plot, when there should only be HEO and VEO. Historically, we have used the Semlitsch algorithm [Semlitsch HV, Anderer P, Schuster P, Presslich O., (1986) A solution for reliable and valid reduction of ocular artifacts, applied to the P300 ERP, <i>Psychophysiology,23</i>(6):695-703] with no issues. Is there a way to use this method in MNE-Python instead? We realize that the Semlitsch algorithm may be outdated, is there a reason/reference ICA may stand apart from this algorithm?</p><p class="MsoNormal"><o:p> </o:p></p><p class="MsoNormal">As always thank you for your assistance,</p><p class="MsoNormal"><o:p> </o:p></p><p class="MsoNormal">UNLV PEPLab</p><p class="MsoNormal">Bianca Islas</p><p class="MsoNormal">Research Assistant</p><p class="MsoNormal"><o:p> </o:p></p><p class="MsoNormal"><o:p> </o:p></p></div></div></blockquote><blockquote type="cite"><div dir="ltr"><Comp_scores.PNG></div></blockquote><blockquote type="cite"><div dir="ltr"><Lat_Sources.PNG></div></blockquote><blockquote type="cite"><div dir="ltr"><span>_______________________________________________</span><br><span>Mne_analysis mailing list</span><br><span><a href="mailto:Mne_analysis@nmr.mgh.harvard.edu">Mne_analysis@nmr.mgh.harvard.edu</a></span><br><span><a href="https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis">https://mail.nmr.mgh.harvard.edu/mailman/listinfo/mne_analysis</a></span></div></blockquote></body></html>