ArticleNeuroImage2023
Real-time, model-based magnetic field correction for moving, wearable MEG.
Article in NeuroImage, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
16 citing papers in PubMed.
- Opportunities for Quantum Sensing in Epilepsy Diagnostics.Sensors (Basel, Switzerland) · 2026Review
- Environment-Driven Synthetic Baseline Analysis and Optimization in Joint Measurement OPM-MEG Arrays.Bioengineering (Basel, Switzerland) · 2026Article
- Model-based cardiac field artefact correction for OP-MEG.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Wearable technologies for assisted mobility in the real world.Nature communications · 2025Review
- Using Wearable MEG to Study the Neural Control of Human Stepping.Sensors (Basel, Switzerland) · 2025Article
- Wearable MEG data recorded during human stepping.Data in brief · 2025Article
- Anatomically Veridical On-Scalp Sensor Topographies.The European journal of neuroscience · 2025Article
- Wearable Magnetoencephalography in a Lightly Shielded Environment.IEEE transactions on bio-medical engineering · 2025Article
- Determining sensor geometry and gain in a wearable MEG system.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Pushing the boundaries of MEG based on optically pumped magnetometers towards early human life.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Combining video telemetry and wearable MEG for naturalistic imaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- NovelImaging neuroscience (Cambridge, Mass.) · 2025Article
- Noise Reduction and Localization Accuracy in a Mobile Magnetoencephalography System.Sensors (Basel, Switzerland) · 2024Article
- Adaptive multipole models of optically pumped magnetometer data.Human brain mapping · 2024Article
- Towards non-invasive imaging through spinal-cord generated magnetic fields.Frontiers in medical technology · 2024Article
- Channel gain calibrated signal space projection using variational Bayesian estimation for optically pumped magnetometers.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
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).
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.