Validation and evaluation of quantum enhanced sensors for Magnetoencephalography (MEG)

Important results from the project

Most of the objectives were achieved. We recorded MEG data for cross-site comparisons that we plan to publish and shared practical information, allowing us to define best practice. We also collected data for comparing noise reduction algorithms and started a new collaboration with researchers at McGovern Medical, who is developing such an algorithm. Unfortunately, testing the mechanical phantom was not possible as it was not ready in time for my trip.

Expected long term effects

The project has led to increased collaboration between the two MEG labs. We plan to look at funding opportunities for joint research projects in the future. In the short run we are working on publishing a paper on the cross-site recordings and collaborate on testing different noise reduction algorithms as part of defining best practises for measurement and analysis of on-scalp MEG data. To theses discussions we also plan to invite other on-sclap MEG sites.

Approach and implementation

Unfortunately, the mechanical phantom was not ready in time for the trip. As a result we had to skip that part of the project. Fortunately, this gave us extra time that we used to meet with John Mosher from McGovern and start a collaboration for testing his new noise reduction algorithm. I also got the opportunity to join epilepsy analysis sessions to learn more about the clinical procedures at CHOP. For the main data collection we recorded a number of different paradigms in two subjects.