<html><head><meta http-equiv="Content-Type" content="text/html charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Dear Makoto, dear EEGLAB list<div class=""><br class=""></div><div class="">I came across several sources where it is suggested to use average referenced data to perform ICA (including your very helpful discussion about preprocessing <a href="https://sccn.ucsd.edu/wiki/Makoto's_preprocessing_pipeline" class="">https://sccn.ucsd.edu/wiki/Makoto%27s_preprocessing_pipeline</a>). Is there a particular reason for this? Is there anything wrong in doing ICA on EEG referenced to a single channel?</div><div class=""><br class=""></div><div class="">In addition, I have the goal to apply ICA on (1 Hz filtered) data with the purpose to get rid of artifacts (using MARA), but apply the clean ICs on unfiltered data to keep lower frequencies than 1 Hz. Based on your comments, my idea was to compute the ICA on 1 Hz filtered (and average referenced) data and apply the selection of ICs to the same unfiltered (and average referenced) data. Is that the way to go, or are there other suggestions? </div><div class=""><br class=""></div><div class="">Thanks and all the best</div><div class=""><br class=""></div><div class="">Andreas</div><div class=""><br class=""></div><div class=""><div class=""><div class="">
<div style="color: rgb(0, 0, 0); letter-spacing: normal; text-align: start; text-indent: 0px; text-transform: none; white-space: normal; word-spacing: 0px; -webkit-text-stroke-width: 0px; word-wrap: break-word; -webkit-nbsp-mode: space; -webkit-line-break: after-white-space;" class="">Andreas Pedroni<br class="">Psychologisches Institut<br class="">Methoden der Plastizitätsforschung<br class="">Andreasstrasse 15, AND 4.58<br class="">CH-8050 Zürich<br class=""><a href="mailto:andreas.pedroni@uzh.ch" class="">andreas.pedroni@uzh.ch</a><br class=""><br class=""><br class=""></div>
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