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<font size="4" class="">Yes, this is implemented in FieldTrip, as per the following publication: <a href="https://doi.org/10.1016/j.neuroimage.2008.01.045" class="">https://doi.org/10.1016/j.neuroimage.2008.01.045</a></font>
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<div class=""><font size="4" class="">The method to use is ‘pcc’ in ft_sourceanalysis. Alternatively, you can handcraft your dipole specific forward models, to include both the ‘leadfield’ for the dipole of interest + the ‘leadfield’ of the to-be-suppressed
region. This requires some creative post-processing of the results, but that’s straightforward.</font></div>
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<div class=""><font size="4" class="">Best wishes,</font></div>
<div class=""><font size="4" class="">Jan-Mathijs</font></div>
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<div class="">On 23 Sep 2020, at 11:26, נועה הכהן <<a href="mailto:noa1hc@gmail.com" class="">noa1hc@gmail.com</a>> wrote:</div>
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<div dir="ltr" class="">Hello all,</div>
<div dir="ltr" class="">I am working on high dense eeg data, with auditory stimuli. I tried to use dics beamformer in order to localize the gamma waves, but due to the spatial correlation in the signal, I didn't get optimal results (as I understand it..). I
read about method that deal with this issue- by using weights for the coherent sources (<span style="font-family: arial, helvetica, clean, sans-serif;" class="">Modified Beamformers for Coherent Source Region Suppression, </span><a href="https://www.ncbi.nlm.nih.gov/pubmed/?term=Dalal%20SS%5BAuthor%5D&cauthor=true&cauthor_uid=16830939" target="_blank" style="color:rgb(100,42,143);white-space:nowrap;font-family:arial,helvetica,clean,sans-serif;font-size:13.4792px" class="">Sarang
S. Dalal</a><font face="arial, helvetica, clean, sans-serif" class=""><span style="font-size:13.4792px" class=""> ). Are there any applications of this (or similar) method in fieldtrip? </span></font></div>
<div dir="ltr" class=""><font face="arial, helvetica, clean, sans-serif" class=""><span style="font-size:13.4792px" class="">I will be glad to hear about this issue,</span></font></div>
<div dir="ltr" class=""><font face="arial, helvetica, clean, sans-serif" class=""><span style="font-size:13.4792px" class="">thanks, Noa</span></font></div>
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