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    <p>Dear Jade,</p>
    <p><br>
    </p>
    <p>Thanks a lot for your interest in SimNIBS.</p>
    <p><br>
    </p>
    <p><i>in the position window, and next to the dropdown box for the
        EEG cap positions, are these x y z coordinates that I can input
        in MNI space?</i><br>
    </p>
    <p><br>
    </p>
    <p>These positions are in world space of the input scan. However,
      you can easily transform between subject space and MNI space.
      Please see here for more information:</p>
    <p><a class="moz-txt-link-freetext" href="https://simnibs.github.io/simnibs/build/html/documentation/coordinates.html">https://simnibs.github.io/simnibs/build/html/documentation/coordinates.html</a></p>
    <p><br>
    </p>
    <p>You could also skip the GUI completely and setup simulations with
      python or matlab scripts where you input MNI coordinates directly.
      Examples:<br>
    </p>
    <p><br>
    </p>
    <p><a class="moz-txt-link-freetext" href="https://github.com/simnibs/simnibs/blob/master/simnibs/examples/simulations/TMS_MNI.m">https://github.com/simnibs/simnibs/blob/master/simnibs/examples/simulations/TMS_MNI.m</a></p>
    <p><a class="moz-txt-link-freetext" href="https://github.com/simnibs/simnibs/blob/master/simnibs/examples/simulations/TMS_MNI.py">https://github.com/simnibs/simnibs/blob/master/simnibs/examples/simulations/TMS_MNI.py</a></p>
    <p><br>
    </p>
    <p><br>
    </p>
    <p><span style="color: rgb(0, 0, 0);"><i>Also, if I generate a model
          with stimulation to specific coordinates and then calculate
          the norm Efield at the control ROI, what does the output
          equate to? How can I know if this is equivalent to say their
          motor threshold? <br>
        </i></span></p>
    <p><span style="color: rgb(0, 0, 0);"><i><br>
        </i></span></p>
    <p><span style="color: rgb(0, 0, 0);">The output is an electric
        field in V/m. We know that electric fields and motor threshold
        in TMS are correlated (see </span><br>
      <span style="color: rgb(0, 0, 0);"> <a
          href="https://doi.org/10.1093/cercor/bhw292">https://doi.org/10.1093/cercor/bhw292</a>,
      </span><span style="color: rgb(0, 0, 0);"><a class="doi"
          href="https://doi.org/10.1016/j.neuroimage.2019.116486"
          target="_blank" rel="noreferrer noopener"
          aria-label="Persistent link using digital object identifier"
          title="Persistent link using digital object identifier">https://doi.org/10.1016/j.neuroimage.2019.116486</a>,
      </span><span style="color: rgb(0, 0, 0);"><a class="doi"
          href="https://doi.org/10.1016/j.neuroimage.2019.116486"
          target="_blank" rel="noreferrer noopener"
          aria-label="Persistent link using digital object identifier"
          title="Persistent link using digital object identifier">https://doi.org/</a></span><span
        style="color: rgb(0, 0, 0);"><a
          href="https://doi.org/10.1016/j.brs.2017.09.011"
          target="_blank" rel="noreferrer noopener">10.1016/j.brs.2017.09.011</a>).
        But the relationship between the two is complex. So we can't say
        at the moment that if the electric field in a given region (for
        example hand knob) is above a certain value you will for sure an
        MEP, but rather that a larger electric field increases the
        probability of getting an MEP.<br>
      </span></p>
    <p><span style="color: rgb(0, 0, 0);"><br>
      </span></p>
    <p><span style="color: rgb(0, 0, 0);">Best Regards,</span></p>
    <p><span style="color: rgb(0, 0, 0);">Guilherme</span></p>
    <p><span style="color: rgb(0, 0, 0);"><br>
      </span></p>
    <p><span style="color: rgb(0, 0, 0);"><br>
      </span></p>
    <div class="moz-cite-prefix">On 03/03/2020 16.05, Jade Jackson
      wrote:<br>
    </div>
    <blockquote type="cite"
      cite="mid:4911e81ba4514a528f13648cf5ca45cb@mrc-cbu.cam.ac.uk">
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        <p><span style="caret-color: rgb(255, 255, 255); color: rgb(0,
            0, 0); font-family: Helvetica; font-size: 12px;
            text-size-adjust: auto;">Dear developers, </span></p>
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          255, 255); font-family: Helvetica; font-size: 12px;
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          <br>
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          <span style="color: rgb(0, 0, 0);">Thank you for developing
            this toolbox. I have specific MNI coordinates that I want to
            stimulate and I want to understand whether the stimulation
            will spread to a control ROI, and if so, to what degree. </span></div>
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          255, 255); font-family: Helvetica; font-size: 12px;
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          <br>
        </div>
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          255, 255); font-family: Helvetica; font-size: 12px;
          text-size-adjust: auto;">
          <span style="color: rgb(0, 0, 0);">I have a couple of very
            basic questions, in the position window, and next to the
            dropdown box for the EEG cap positions, are these x y z
            coordinates that I can input in MNI space? Also, if I
            generate a model with stimulation to specific coordinates
            and then calculate the norm Efield at the control ROI, what
            does the output equate to? How can I know if this is
            equivalent to say their motor threshold? </span></div>
        <div style="caret-color: rgb(255, 255, 255); color: rgb(255,
          255, 255); font-family: Helvetica; font-size: 12px;
          text-size-adjust: auto;">
          <br>
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          255, 255); font-family: Helvetica; font-size: 12px;
          text-size-adjust: auto;">
          <span style="color: rgb(0, 0, 0);">Thanks, </span></div>
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          255, 255); font-family: Helvetica; font-size: 12px;
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          <br>
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          <span style="color: rgb(0, 0, 0);">Jade</span></div>
        <br>
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      <br>
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