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Real-time, model-based magnetic field correction for moving, wearable MEG
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Real-time, model-based magnetic field correction for moving, wearable MEG
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Real-time, model-based magnetic field correction for moving, wearable MEG
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Real-time, model-based magnetic field correction for moving, wearable MEG
Real-time, model-based magnetic field correction for moving, wearable MEG
Journal Article

Real-time, model-based magnetic field correction for moving, wearable MEG

2023
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Overview
•Zero-field OPMs operate within a limited magnetic field range.•We correct for background field changes in real-time using coils on-board the OPMs.•We used a model of the background field based on low-order regular solid harmonics.•We were able to record auditory evoked fields during movements of 1.5m - 2m. Most neuroimaging techniques require the participant to remain still for reliable recordings to be made. Optically pumped magnetometer (OPM) based magnetoencephalography (OP-MEG) however, is a neuroimaging technique which can be used to measure neural signals during large participant movement (approximately 1 m) within a magnetically shielded room (MSR) (Boto et al., 2018; Seymour et al., 2021). Nevertheless, environmental magnetic fields vary both spatially and temporally and OPMs can only operate within a limited magnetic field range, which constrains participant movement. Here we implement real-time updates to electromagnetic coils mounted on-board of the OPMs, to cancel out the changing background magnetic fields. The coil currents were chosen based on a continually updating harmonic model of the background magnetic field, effectively implementing homogeneous field correction (HFC) in real-time (Tierney et al., 2021). During a stationary, empty room recording, we show an improvement in very low frequency noise of 24 dB. In an auditory paradigm, during participant movement of up to 2 m within a magnetically shielded room, introduction of the real-time correction more than doubled the proportion of trials in which no sensor saturated recorded outside of a 50 cm radius from the optimally-shielded centre of the room. The main advantage of such model-based (rather than direct) feedback is that it could allow one to correct field components along unmeasured OPM axes, potentially mitigating sensor gain and calibration issues (Borna et al., 2022).