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Axel,</div>
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Thanks for the clarification. In the inital post I modeled the second pathway with only the electrodes that were used in the pipeline, but your reasoning makes sense about the conductive paste being used essentially covers a majority of the head. </div>
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I reran using all modeled electrodes, and the electrodes not used are modeled with 0 mA current. I have attached the images where the right is the non-leadfield model and the left is the leadfield model.
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Where now the fields look very similar between the two different pipelines. </span>It looks like it does lower the field by about ~10% (max given with all electrodes 0.47 V/m and only used electrodes 0.521 V/m). This would be consistent with what I have found
with other stimulations. The benefit is that although it does seem to change the magnitude of the electric field, the spatial distribution does not seem to change.</div>
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So, if we were to target a specific value efield magnitude for a ROI, any optimization problem using the leadfield might be incorrect due to the lower magnitude of the leadfield processing. I wonder how to correct for this during any optimization, or maybe
not necessary since it could be that the scale is similar no matter what stimulation is modeled. So maybe you could just correct in post optimal solution found. Do you think it is worth looking at the spherical model with a possible additional tissue representing
the conductive paste compared to the one without the additional conductive paste tissue, to get a sense of the scale estimate? </div>
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Thanks,</div>
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Joel<br>
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<div id="divRplyFwdMsg" dir="ltr"><font face="Calibri, sans-serif" style="font-size:11pt" color="#000000"><b>From:</b> Axel Thielscher <axelt@drcmr.dk><br>
<b>Sent:</b> Wednesday, November 2, 2022 10:21 AM<br>
<b>To:</b> Joel Upston <jupston@unm.edu>; discuss@simnibs.org <discuss@simnibs.org><br>
<b>Subject:</b> Re: [Simnibs-discuss] Differences in Efield depending on Processing</font>
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<p class="x_MsoNormal" style="line-height:12.0pt; background:#FF6666"><b><span style="font-size:10.0pt; color:white"> [EXTERNAL]</span></p>
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<p>Hi Joel,</p>
<p><br>
</p>
<p>a question for better understanding: When you set up the 2nd pathway, do you then model ALL electrodes of the EEG10-20 system, or only those which you actually need for the montage?</p>
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<p>I am asking because adding many well-conducting electrodes to the model will slightly increase the amount of current shunted through the scalp(+electrodes). Think of it as covering many parts of the scalp with well-conductive paste. We never quantified the
size of this effect, but it will cause the leadfield e-fields in the brain to be consistently lower.<br>
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<p>Best regards,</p>
<p>Axel</p>
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<div class="x_moz-cite-prefix">On 19-10-2022 21:07, Joel Upston wrote:<br>
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Hi there,</div>
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I have noticed a systematic difference between the two different lines of simulating the same currents, electrodes and underlying dataset. One is through processing through the leadfield and using only the electrodes and currents as given and the other is through
only modeling those electrodes and currents without the leadfield. Now the 2<span><sup>nd</sup> pathway (no leadfield) is giving higher E_mag than the leadfield version (~7-12%), the spatial maps look similar but just the intensity differences. I think it
has to do with the scaling that is done after the solve by scaling the estimated current calibration error, which if I understand correctly isn't done in the leadfield processing. If this is the case I am trying to establish which would be more accurate to
use in your view if I need a specific target value of (0.3 V/m for example). I have attached an image of a case where this is shown with the leadfield processed is on the left and the non-leadfield is on the right. I have tried this on about 5 different datasets
and the pattern is consistent.</span></div>
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<span>Thanks,</span></div>
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Joel<span><br>
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<pre class="x_moz-quote-pre">_______________________________________________
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<pre class="x_moz-signature" cols="72">--
Dr. Axel Thielscher
Professor of Neurophysics and Neuroimaging
Danish Research Center for Magnetic Resonance
Copenhagen University Hospital Hvidovre
DK-2650 Hvidovre, Denmark
<a class="x_moz-txt-link-abbreviated" href="http://www.drcmr.dk">www.drcmr.dk</a>
&
Department of Health Technology
Technical University of Denmark
DK-2800 Kgs. Lyngby
<a class="x_moz-txt-link-freetext" href="http://www.healthtech.dtu.dk/">http://www.healthtech.dtu.dk/</a></pre>
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