<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">Hi Eric and Dip,<div><br></div><div>Thank you very much for your answers!</div><div><br></div><div>I submitted the feature request issue on /mne-python repository so you can track it via the link: <a href="https://secure-web.cisco.com/1jj53nAz2Njw9LZmEpmWrlRxBteIF1QhZLdJfDBM-Ej714_x4nzgpMC6vOj5B4uVJGRBhYj96kbK8zHOpGPz-2Fh76xSDbHKLy82PKxRjKCY81m0ku9GuvW_5B3bGbbHZnhRGoXa3xi3uhk-Mqsv8sbNrib5f9jgu4FZw12JOO1B9mu_g1jXrn2T5iNCq0o0VimU2dwQWNDUEVT-yLsG0slNG2kngkWbo8RwfxheSQCQ3E5r5FvihESZ3KdRUl5n5A5dyna2yCRoeVrj_QfUA9A/https%3A%2F%2Fgithub.com%2Fmne-tools%2Fmne-python%2Fissues%2F8646"><font color="red"><b>MailScanner has detected a possible fraud attempt from "secure-web.cisco.com" claiming to be</b></font> https://github.com/mne-tools/mne-python/issues/8646</a></div><div><br></div><div>Best,</div><div>Anna</div><div><br></div><div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">пт, 4 дек. 2020 г. в 20:32, Eric Larson <<a href="mailto:larson.eric.d@gmail.com">larson.eric.d@gmail.com</a>>:<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">We don't currently have a function for this but we could add one fairly easily I think based on the FreeSurfer triangulations. Could you open a GitHub issue about it?<div><br></div><div>Eric</div><div><br></div></div><br><div class="gmail_quote"><div dir="ltr" class="gmail_attr">On Thu, Dec 3, 2020 at 5:15 AM Анна Табуева <<a href="mailto:anntabueva@gmail.com" target="_blank">anntabueva@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">Dear MNE Community!<div><br></div><div>In my research I intend to perform the 1-sample cluster permutation test on the time course data extracted with PCA according to Desikan-Killiany cortical atlas.</div><div>In order to perform the cluster test correctly I should provide the information on spatial connectivity of the 68 extracted Desikan-Killiany cortical labels (i.e., the adjacency matrix).</div><div>However, while there are well defined functions such as mne.find_ch_connectivity or mne.spatial_src_connectivity, I had no luck figuring out any method to calculate the adjacency matrix for labels.</div><div>Do you have any ideas on how I should treat the adjacency matrix problem in the cluster test if I use parcellised cortical labels?</div><div><br></div><div>Great thank you in advance!</div><div><br></div><div><div>Anna</div>-- <br><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><div dir="ltr"><div><div dir="ltr"><font face="georgia, serif">Anna Tabueva</font></div></div><div><font face="georgia, serif">Junior Research Fellow</font></div><div><font face="georgia, serif">Developmental Behavioral Genetics Laboratory</font></div><div><font face="georgia, serif">Psychological Institute of Russian Academy of Education</font></div></div></div></div></div></div></div></div>
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