<div dir="ltr">Hi all,<div><br></div><div> I performed DICS beamforming on resting-state data ( eyes closed) of a clinical population and controls. According to the sensor data, the control groups have more alpha-band (8-14<div>Hz) activity over occipital areas after cluster statistic (attached figure upper plot) . Curiously, after beamforming , group comparisons showed the reversed patters in visual cortex (attached figure bottom plot) .Hence, the source-level results are opposite to the sensor-level results. This is *not* a problem of the design matrix, or confusing the groups. I check the individual neural activity index on the single subject level . They make sense in general . I also tune the parameter a lot (tapper, central frequency smooth frequency , regularization parameter , et al ), the opposite pattern remains. I understand that Beamformer images DO NOT DIRECTLY CORRESPOND TO ANY sensor data. However, the opposite pattern is really weird. I noticed that Tobias Navarro Schröder had the similar issue 4 years ago (<a href="http://mailman.science.ru.nl/pipermail/fieldtrip/2011-May/003875.html">http://mailman.science.ru.nl/pipermail/fieldtrip/2011-May/003875.html</a>). Thus, I am not the only one who encountered this problem.</div><div> </div><div> Any tips and suggestions will be greatly appreciated. Thanks in advance!</div><div> <img src="cid:ii_i4jxr2sz1_14aba77f4264462a" width="537" height="562"><br></div><div><br></div><div><br></div><div> Best,</div><div> Hatieng</div><div> </div><div> </div><div><br></div><div> </div><div> <br clear="all"><div><br></div>-- <br><div class="gmail_signature"><div dir="ltr"><div><div>Haiteng Jiang </div><div>PhD candidate</div><div>Donders Institute for Brain, Cognition and Behaviour</div><div>Neuronal Oscillations Group </div><div>Computational Cognitive Neuroscience Lab</div></div><div><font face="arial, helvetica, sans-serif"><a href="https://sites.google.com/site/haitengjiang/" target="_blank">https://sites.google.com/site/haitengjiang/</a></font></div></div></div>
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