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</o:shapelayout></xml><![endif]--></head><body lang=KO link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span lang=EN-US>Dear all, <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>I’m working on LCMV beamforming using Neuromag data applied with Maxfilter. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>I am using 204 gradiometer sensors. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>I have rank deficiency problem, maybe because of Maxfilter since it reduces the rank.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US> <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>When I checked the data, the rank is 60. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>I removed EOG and ECG components using ICA. <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>2 or 3 components in sum in most subjects.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>So for some, the rank is 58, for some, it’s 57… <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>When I tested with different lambda from 0% to 10%, (or above, even 100%), I got the same warning ('covariance matrix is rank deficient'). <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Does anyone have suggestions for which lambda is most appropriate in this case? Or any other useful advice/experience for how to apply beamforming in combination with Maxfilter? <o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US><o:p> </o:p></span></p><p class=MsoNormal><span lang=EN-US>Thank you in advance.<o:p></o:p></span></p><p class=MsoNormal><span lang=EN-US>Hyojin Park<o:p></o:p></span></p></div></body></html>