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</o:shapelayout></xml><![endif]--></head><body lang=EN-GB link=blue vlink=purple><div class=WordSection1><p class=MsoNormal>Hi,<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>I ran an EEG experiment in which vocal responses were recorded, so that strong muscle artefacts are visible in the EEG signal. <o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>In general: is it a good idea to run an ICA, identify components related to these muscle artefacts and then correct for these (in addition to correcting for eye blinks)? Or would it be better not to correct for these motor artefacts, given that they will probably average out when calculating the grand average?<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Thanks in advance!<o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>Wout<o:p></o:p></p></div></body></html>