|
MEG - OPM : les capteurs MEG du futur| title | MEG - OPM : les capteurs MEG du futur |
|---|
| start_date | 2023/03/10 |
|---|
| schedule | 11h-13h |
|---|
| online | no |
|---|
| location_info | Bât. 462 - Amphithéâtre Neurocampus Michel Jouvet |
|---|
| summary | Magneto-Encephalo-Graphy (MEG) provides a direct measure of neuronal activity at a millisecond time scale. From these signals, one can non-invasively derive the dynamics of physiological or pathological brain activity. Conventional MEG systems (SQUID-MEG) use very low temperature to achieve the necessary sensitivity. This leads to severe experimental and economical limitations. A new generation of on-scalp MEG sensors is emerging: the optically pumped magnetometers (OPM). In OPM, an atomic gas enclosed in a glass cell is traversed by a laser beam whose modulation depends on the local magnetic field.
The CERMEP MEG lab and the CRNL COPHY team in Lyon tested the performances of beyond the state-of-the-art OPM using Helium gas (4He-OPM). These sensors developed by the MAG4Health startup (www.mag4health.com) operate at room temperature with a large dynamic range, a large frequency bandwidth and output natively a 3D vectorial measure of the magnetic field. In this study, five 4He-OPMs were compared to a classical SQUID-MEG system. Considering that the 4He-OPMs operate at room temperature and can be placed directly on the head, our assumption was that 4He-OPMs will provide detailed recording of physiological magnetic brain activity. Indeed, the results showed that the 4He-OPMs, despite having a lower sensitivity, showed very similar results to the classical SQUID-MEG system by taking advantages of a much closer distance to the brain.
These results demonstrate that 4He-OPMs represent a viable alternative for non-invasive recording of brain activities, paving the way for the development and democratisation of a wearable system for recording high-fidelity electromagnetic brain signals for both clinical practice and neuroscience research. |
|---|
| responsibles | Information non disponible |
|---|
Workflow history| from state (1) | to state | comment | date |
|---|
| submitted | published | | 2023/02/27 15:39 UTC |
| |
|