<p><span style="padding: 3px 10px; border-radius: 5px; color: #ffffff; font-weight: bold; display: inline-block; background-color: #ff0000;"> External Email - Use Caution </span></p><p></p><div dir="ltr"><div>Hi Eric! <br></div><div>Thanks for the correction. </div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, Mar 12, 2019 at 4:03 PM Eric Larson <<a href="mailto:larson.eric.d@gmail.com">larson.eric.d@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><p><span style="padding:3px 10px;border-radius:5px;color:rgb(255,255,255);font-weight:bold;display:inline-block;background-color:rgb(255,0,0)"> External Email - Use Caution </span></p><p></p><div dir="ltr"><div dir="ltr">For the standard minimum-norm estimate (MNE), the units are Am. Power of the dSPM-normalized solution, on the other hand, follows an F distribution (see <a href="https://surfer.nmr.mgh.harvard.edu/pub/articles/dale00.pdf" target="_blank">https://surfer.nmr.mgh.harvard.edu/pub/articles/dale00.pdf</a>).</div><div dir="ltr"><br></div><div dir="ltr">For eLORETA, I wasn't sure the correct units to use when implementing it, so I just kept things somewhat normalized -- the units / scale-factor for that solver are thus arbitrary at present. In theory we should be able to scale it to provide estimates in Am like MNE, or possibly units of some statistical distribution like dSPM. (Help welcome if someone knows how!)</div><div dir="ltr"><br></div><div dir="ltr"><div>Eric</div><div><br></div></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, Mar 12, 2019 at 7:58 AM Vivek Sharma <<a href="mailto:vivek.sharma1510@gmail.com" target="_blank">vivek.sharma1510@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><p><span style="padding:3px 10px;border-radius:5px;color:rgb(255,255,255);font-weight:bold;display:inline-block;background-color:rgb(255,0,0)"> External Email - Use Caution </span></p><p></p><div><div dir="auto">Thanks</div></div><div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, 12 Mar 2019 at 5:25 PM, Diptyajit Das <<a href="mailto:bmedasdiptyajit@gmail.com" target="_blank">bmedasdiptyajit@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><p><span style="padding:3px 10px;border-radius:5px;color:rgb(255,255,255);font-weight:bold;display:inline-block;background-color:rgb(255,0,0)"> External Email - Use Caution </span></p><p></p><div dir="ltr"><div>Hi Vivek,</div><div><br></div><div>The color bar represents neuronal current density in (nA) for distributed source localization methods. After applying a suitable threshold to the corresponding source space data, you can able to see the experimental effects within the brain (i.e., the magnitude of the active sources across different time points). <br></div><div><br></div><div>best,</div><div>Dip <br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Tue, Mar 12, 2019 at 12:33 PM Vivek Sharma <<a href="mailto:vivek.sharma1510@gmail.com" target="_blank">vivek.sharma1510@gmail.com</a>> wrote:<br></div><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><p><span style="padding:3px 10px;border-radius:5px;color:rgb(255,255,255);font-weight:bold;display:inline-block;background-color:rgb(255,0,0)"> External Email - Use Caution </span></p></blockquote></div><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex"><p></p><div dir="ltr"><div dir="ltr">In the example given below:<div><a href="https://martinos.org/mne/stable/auto_tutorials/plot_mne_dspm_source_localization.html" target="_blank">https://martinos.org/mne/stable/auto_tutorials/plot_mne_dspm_source_localization.html</a></div><div><br></div><div>what are the value written below the plots of source localization? for example one of the image represents plotting of sources calculated by eLORETA method. Some values are written below with heat map. what are those values and what do they signify?<br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail-m_3010515557163226563gmail-m_-2199200617718056309m_-4136520911694088824gmail-m_-5577030115175554409gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><span style="font-size:12.8px">Vivek Sharma</span></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></blockquote></div><div class="gmail_quote"><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
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