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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Dear Sadatnejad<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">If you want to look at connectivity topographical patterns the Network Based Statistics (NBS) is what you are looking for: (<a href="https://sites.google.com/site/bctnet/comparison/nbs">https://sites.google.com/site/bctnet/comparison/nbs</a>)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">To investigate for network metrics (e.g. graph theory) I would suggest the Brain Connectivity Toolbox (BCT) (<a href="https://sites.google.com/site/bctnet/">https://sites.google.com/site/bctnet/</a>)<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Both run in Matlab.<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">I hope this helps<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D;mso-fareast-language:EN-US">Kind regards<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:9.0pt;font-family:"Segoe UI",sans-serif;color:#44546A"><img border="0" width="149" height="78" id="Picture_x0020_1" src="cid:image001.png@01D4BE0A.8846F8D0" alt="signature"></span><span style="font-size:11.0pt;font-family:"Calibri",sans-serif;color:#1F497D"><o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt;font-family:"Segoe UI",sans-serif;color:#44546A">Ramtin Mehraram<o:p></o:p></span></p>
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<p class="MsoNormal"><b><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif">From:</span></b><span lang="EN-US" style="font-size:11.0pt;font-family:"Calibri",sans-serif"> eeglablist [mailto:eeglablist-bounces@sccn.ucsd.edu]
<b>On Behalf Of </b>Sadatnejad<br>
<b>Sent:</b> 06 February 2019 06:59<br>
<b>To:</b> eeglablist@sccn.ucsd.edu<br>
<b>Subject:</b> [Eeglablist] Brain network&EEG<o:p></o:p></span></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Arial",sans-serif">​Dear all,<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Arial",sans-serif"><o:p> </o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Arial",sans-serif">I have a EEG dataset composed of two classes. I should analyze it from Brain networking point of view (DMN, TPN,...) and investigate the difference between its groups. I'm beginner
in network analysis of EEG. Do you have any tool box for this purpose under Matlab or Python?<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Arial",sans-serif">Thank you in advance!<o:p></o:p></span></p>
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<p class="MsoNormal"><span style="font-size:10.0pt;font-family:"Arial",sans-serif">Regards<o:p></o:p></span></p>
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<pre><o:p> </o:p></pre>
<pre>-- <o:p></o:p></pre>
<pre>This email was Anti Virus checked by Security Gateway.<o:p></o:p></pre>
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