<div dir="ltr"><div class="gmail_quote gmail_quote_container"><div class="msg-1140773090021988362"><div dir="ltr"><p style="text-align:left;text-indent:0px;background-color:rgb(255,255,255);margin:1em 0cm"><span style="font-family:"Times New Roman",Times,serif;font-size:13.5pt;color:black">Dear Colleagues, </span></p>
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<span style="font-family:"Times New Roman",Times,serif;font-size:13.5pt;color:black">We are pleased to announce that the
<b>SPM for MEG/EEG</b> course hosted by University College London will take place from
<b>Monday, May 18th </b>to <b>Thursday, May 21st, 2026 </b> </span></p>
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<span style="font-family:"Times New Roman",Times,serif;font-size:13.5pt;color:black">This fully online course will provide instruction on the analysis of EEG and MEG data. The first three days will combine theoretical presentations with practical demonstrations
 of the analysis methods implemented in SPM. On the final day, participants will have the opportunity to work on SPM tutorial data sets or on their own data under the guidance of the course faculty. The final programme will be released soon. Further information
 and the 2025 course schedule are available here: <a style="margin:0px" rel="noopener noreferrer" title="https://www.fil.ion.ucl.ac.uk/spm/docs/courses/eeg_meg/programme/" id="m_-1140773090021988362OWA077cf9f5-b0e0-0a7f-bc54-76dc5f3bab9c" href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.fil.ion.ucl.ac.uk%2Fspm%2Fdocs%2Fcourses%2Feeg_meg%2Fprogramme%2F&data=05%7C02%7Cfieldtrip%40science.ru.nl%7Cd3e23d6773de4dc8db1408de793f5fb5%7C084578d9400d4a5aa7c7e76ca47af400%7C1%7C0%7C639081510393774799%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C80000%7C%7C%7C&sdata=dWPx%2BG7xr%2ByyQRi97BGPST977CNi4%2BZ%2Bw46H9GnV91Y%3D&reserved=0" originalSrc="https://www.fil.ion.ucl.ac.uk/spm/docs/courses/eeg_meg/programme/" target="_blank">
https://www.fil.ion.ucl.ac.uk/spm/docs/courses/eeg_meg/programme/</a></span></p>
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Recordings of all talks will be provided for participants who cannot join live. Additional question and answer sessions and discussions will take place on Discord.</div>
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<span style="font-family:"Times New Roman",Times,serif;font-size:13.5pt;color:black">The course is suitable for both beginners and more advanced users. Topics will include pre‑processing, statistical analysis, source localisation and dynamic causal
 modelling. Registration is now open via the UCL Online Store: <a style="margin:0px" rel="noopener noreferrer" title="https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-brain-sciences-c07/ucl-institute-of-neurology-d07/d07-statistical-parametric-mapping-for-megeeg-2026" id="m_-1140773090021988362OWAc33018a9-42f8-2334-3a7f-fa16a92b0cb4" href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fonlinestore.ucl.ac.uk%2Fconferences-and-events%2Ffaculty-of-brain-sciences-c07%2Fucl-institute-of-neurology-d07%2Fd07-statistical-parametric-mapping-for-megeeg-2026&data=05%7C02%7Cfieldtrip%40science.ru.nl%7Cd3e23d6773de4dc8db1408de793f5fb5%7C084578d9400d4a5aa7c7e76ca47af400%7C1%7C0%7C639081510393833901%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C80000%7C%7C%7C&sdata=lxSRMCoPoNhbVdGI0x76XuwupPvdWy204geH0hupugs%3D&reserved=0" originalSrc="https://onlinestore.ucl.ac.uk/conferences-and-events/faculty-of-brain-sciences-c07/ucl-institute-of-neurology-d07/d07-statistical-parametric-mapping-for-megeeg-2026" target="_blank">
D07 Statistical Parametric Mapping For MEG/EEG 2026 | UCL Online Store</a> </span></p>
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<span style="font-family:"Times New Roman",Times,serif;font-size:13.5pt;color:black">Places are limited, so early registration is encouraged. The registration fee is £200 for all attendee categories. Fee waivers are available for applicants based in
 low‑income countries (<a style="margin:0px" rel="noopener noreferrer" title="https://www.humanbrainmapping.org/files/faq/2025_UNESCO_List_Abstract_Fee_Waiver_FINAL.pdf" id="m_-1140773090021988362OWA3450cefb-09a8-3c31-3b21-0518b0fe46b0" href="https://eur01.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.humanbrainmapping.org%2Ffiles%2Ffaq%2F2025_UNESCO_List_Abstract_Fee_Waiver_FINAL.pdf&data=05%7C02%7Cfieldtrip%40science.ru.nl%7Cd3e23d6773de4dc8db1408de793f5fb5%7C084578d9400d4a5aa7c7e76ca47af400%7C1%7C0%7C639081510393857407%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C80000%7C%7C%7C&sdata=tWvzFKc%2BDEieCD8xOpuGjimXylYJ1y6tq1MLjqX4aKU%3D&reserved=0" originalSrc="https://www.humanbrainmapping.org/files/faq/2025_UNESCO_List_Abstract_Fee_Waiver_FINAL.pdf" target="_blank">UNESCO
 list</a>). To apply for fee waiver please e-mail<b> <a href="mailto:ion.fil.reception@ucl.ac.uk" target="_blank">ion.fil.reception@ucl.ac.uk</a></b> with the subject
<b>“SPM 2026 fee waiver”</b> and include supporting documentation, such as a letter from your university. Graduate students registered at UCL may take the course for credits at no additional cost. This should be arranged through the Graduate School. </span></p>
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<span style="font-family:"Times New Roman",Times,serif;font-size:13.5pt;color:black">We are looking forward to meeting you online. <br>
For enquiries, please e-mail </span><span style="font-family:"Times New Roman",Times,serif;font-size:12pt;color:rgb(5,99,193)"><u><a style="color:rgb(5,99,193);margin:0px" title="mailto:ion.fil.reception@ucl.ac.uk" id="m_-1140773090021988362OWAc1822c5d-cd49-0991-65bb-019827748d9d" href="mailto:ion.fil.reception@ucl.ac.uk" target="_blank">ion.fil.reception@ucl.ac.uk</a></u></span><span style="font-family:"Times New Roman",Times,serif;font-size:13.5pt;color:black"> </span></p>
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<span style="font-family:"Times New Roman",Times,serif;font-size:13.5pt;color:black">The SPM M/EEG course team</span></p>
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