<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="">Hi All,<div class=""><br class=""><div class=""> I am new to EEGlab and trying to work with ICA analysis. I have been reading the eeglab list mails on ICA topic. I have gather few footnotes and few question which I would like to ask:</div><div class=""><br class=""></div><div class=""><br class=""></div><div class="">1. Cleanline algorithm removes bad channels from the data. Posts in EEGlablist suggests that interpolation should be done after ICA.The tutorial suggests that two ICAs should be performed on the same data-set. So if we are performing two ICAs, we should interpolate these channels after second ICA?</div><div class=""><br class=""></div><div class="">2. I assume rank of the data (used in ICA analysis) would be equivalent to the number of channels in data after running clean line function. If there are for example 128 channels with which data was collected and 10 channels were removed with clean line function then the rank of the data would be 118. If we now want to run ICA on this data do we need to add “ ‘pca’,117 “ in command line option - next to ‘extended’, 1 ? as suggested in the tutotrial : <a href="https://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA" class="">https://sccn.ucsd.edu/wiki/Chapter_09:_Decomposing_Data_Using_ICA</a>.</div><div class=""> </div><div class=""><br class=""></div><div class="">Thanks a lot.</div><div class=""><br class=""></div><div class="">Best </div><div class="">Sonia</div><div class=""><br class=""></div><div class=""><br class=""></div></div></body></html>