<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">Hello, I think I figured it out by using the spatial_exclude option. Please ignore my previous email.<div><br></div><div>Thanks,</div><div>Xiaoping</div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, Jul 25, 2019 at 5:06 PM Xiaoping Fang <<a href="mailto:xpfang4@gmail.com">xpfang4@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"><div dir="ltr"><div>Hello MNEers,</div><div><br></div><div>I would like to limit statistical analysis to some of the vertices, rather than all the vertices in the source space. I have morphed all the individual data to the fsaverage source space (4098 vertices per hemisphere). I would like to use a big language mask that includes ~20 ROIs (based on 'aparc.a2009s'). My plan is to extract time series data for vertices within the mask (not averaging across the selected vertices together), generate connectivity matrix for the selected vertices, and then perform spatio-temporal cluster test. I am now stuck at the step of extracting the time series data within the mask. Could you point me to any relevant resources? </div><div><br></div><div>I did find sth relevant from 2017, but was wondering if there is anything with more updated and/or details. Here is the link to the post from 2017: <a href="https://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/2017-January/003854.html" target="_blank">https://mail.nmr.mgh.harvard.edu/pipermail/mne_analysis/2017-January/003854.html</a></div><div><br></div><div>Thank you!!</div><div>Best,</div><div>Xiaoping</div>-- <br><div dir="ltr" class="gmail-m_-6148735332927960206gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><span style="font-size:14px">Xiaoping Fang</span></div><div><span style="font-size:14px"><br></span></div><div><span style="font-size:14px">Graduate Student - Psychology</span></div><div><span style="font-size:14px">Learning Research and Development Center</span></div><div><span style="font-size:14px">Center for Neural Basis of Cognition</span></div><div><span style="font-size:14px">University of Pittsburgh</span></div><div><a href="https://sites.google.com/site/xpfang4" style="font-size:14px" target="_blank">https://sites.google.com/site/xpfang4</a><br></div></div></div></div></div></div></div></div></div>
</blockquote></div><br clear="all"><div><br></div>-- <br><div dir="ltr" class="gmail_signature"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div dir="ltr"><div dir="ltr"><div><span style="font-size:14px">Xiaoping Fang</span></div><div><span style="font-size:14px"><br></span></div><div><span style="font-size:14px">Graduate Student - Psychology</span></div><div><span style="font-size:14px">Learning Research and Development Center</span></div><div><span style="font-size:14px">Center for Neural Basis of Cognition</span></div><div><span style="font-size:14px">University of Pittsburgh</span></div><div><a href="https://sites.google.com/site/xpfang4" style="font-size:14px" target="_blank">https://sites.google.com/site/xpfang4</a><br></div></div></div></div></div></div></div></div>