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Characterization of a flexible cap for simultaneous OPM-MEG and EEG measurements
Paul Anders1, Marion Brickwedde1,2, Tineke Grent-'t-Jong2,3
1Physikalisch Technische Bundesanstalt, Berlin, Germany.
A new flexible cap integrates Magnetoencephalography (MEG) and Electroencephalography (EEG) for improved brain imaging. This simultaneous measurement system maintains signal quality, paving the way for clinical applications like epilepsy evaluation.
Area of Science:
- Biomedical Engineering
- Neuroscience
- Medical Imaging
Background:
- Simultaneous Magnetoencephalography (MEG) and Electroencephalography (EEG) enhance source reconstruction accuracy.
- Previous Optically Pumped MEG (OPM-MEG) setups with EEG used rigid helmets, reducing OPM signal amplitude and user comfort.
- Rigid OPM-MEG systems require customization, are heavy, and do not adapt to individual head shapes, limiting OPM-MEG's advantages.
Purpose of the Study:
- To develop a flexible cap for fully integrated simultaneous OPM-MEG and EEG measurements.
- To ensure the integrated system is suitable for source reconstruction.
- To achieve signal quality comparable to individual modalities.
Main Methods:
- Integrated OPM mounts into a commercial EEG cap.
- Developed a sensor localization pipeline using 3D scans and OPM mount geometry.
- Assessed OPM shifts during experiments with five volunteers using a multi-paradigm design.
- Compared signal-to-noise ratios and artifact strengths between single-modality and multimodal acquisitions.
Main Results:
- OPM position and orientation shifts were within acceptable limits for source reconstruction.
- Larger shifts were observed in occipital OPMs.
- No significant differences in signal-to-noise ratios or artifact strengths were found between single-modality and multimodal measurements.
- The integrated system demonstrated no signal degradation.
Conclusions:
- Simultaneous OPM-MEG and EEG using a flexible cap can improve source reconstruction.
- This approach facilitates the clinical adoption of OPM-MEG by enabling easier comparison with established EEG.
- The technology is relevant for presurgical epilepsy evaluation.
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