Donders toolkit
Donders toolkit

Donders MEG-OPM Toolkit

Monday 12 October 2026, 8:30 am - Friday 16 October 2026, 5 pm
From custom helmet design to advanced MEG data analysis

Are you looking to expand your expertise in cognitive neuroimaging using MEG-OPM as a research technique? Join us this October for the Donders MEG-OPM Toolkit, an intensive five-day course designed to equip researchers at all levels with both foundational knowledge and advanced techniques in MEG/OPM.

For over three decades, Magnetoencephalography has been an important research tool in neuroscience. While initially requiring expensive SQUID-technology, limiting MEG to be available to a low number of labs, recent developments in OPM technology are now rapidly changing the playing field. Among others, OPMs allows for much more flexible recording setups, and therefore the technique can now be used for study populations and in experimental settings heretofore inaccessible. For the analysis of the data recordings, the research field can rely on state-of-the-art open source software, which is rapidly adopting the specific requirements of the novel recording technology.   

A Comprehensive and Hands-On Program

The course is structured as a combination of lectures and hands-on sessions, delivered over 5 days.

Programme Donders MEG-OPM Toolkit

Toolkit information

When
Monday 12 October 2026, 8:30 am - Friday 16 October 2026, 5 pm
Registration deadline
Contact information

f you have any questions, please contact us at moa.dccn [at] donders.ru.nl (moa[dot]dccn[at]donders[dot]ru[dot]nl)

Pre-registration

* Mandatory field

12-16 October 2026, MEG-OPM Toolkit

Personal Information

Your function:
Please rate your background experience from 1 to 5 (1=none, 5= expert) on Matlab:
Please rate your background experience from 1 to 5 (1=none, 5= expert) on MEG or EEG experimental design:
Please rate your background experience from 1 to 5 (1=none, 5= expert) on MEG data acquisition:
Please rate your background experience from 1 to 5 (1=none, 5= expert) on SQUID-MEG:
Please rate your background experience from 1 to 5 (1=none, 5= expert) on OPM/MEG:
Will you bring your own data to analyse:

General Questions

Discount