Evidence map›Paper›PMID 41445560›Full record

ArticleImaging neuroscience (Cambridge, Mass.)2025

Towards a 384-channel magnetoencephalography system based on optically pumped magnetometers.

Holly Schofield, Ryan M Hill, Lukas Rier, Ewan Kennett, Gonzalo Reina Rivero, Joseph Gibson, Ashley Tyler, Zoe Tanner, Frank Worcester, Tyler Hayward and 6 more

Abstract read
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Enhanced Neural Decoding With Optically Pumped Magnetometer MEG Using Multivariate Pattern Analysis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors.

Holly SchofieldSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Ryan M HillSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Lukas RierSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Ewan KennettSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Gonzalo Reina RiveroSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Joseph GibsonSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Ashley TylerCerca Magnetics Limited, Nottingham, United Kingdom.
Zoe TannerSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Frank WorcesterCerca Magnetics Limited, Nottingham, United Kingdom.
Tyler HaywardCerca Magnetics Limited, Nottingham, United Kingdom.
James OsborneQuSpin Inc., Louisville, CO, United States.
Cody DoyleQuSpin Inc., Louisville, CO, United States.
Vishal ShahQuSpin Inc., Louisville, CO, United States.
Elena BotoSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Niall HolmesSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.
Matthew J BrookesSir Peter Mansfield Imaging Centre, School of Physics and Astronomy, University of Nottingham, University Park, Nottingham, United Kingdom.

Funding

Commercialization Readiness of Wearable Optically Pumped MagnetoencephalographySB1MH136846 · NIMH · QUSPIN · PI Vishal K Shah · 2024 to 2026
$3.9M
NIMH NIH HHS SB1 MH136846
6 · The paper itself

Abstract

Magnetoencephalography using optically pumped magnetometers (OPM-MEG) is gaining traction as a neuroimaging tool, with potential for improved performance and practicality compared with conventional instrumentation. However, OPM-MEG has so far lagged conventional-MEG in terms of the number of independent measurements of the MEG signal that can be made across the scalp (i.e., the number of channels). This is important since increasing the channel count offers improvements in sensitivity, spatial resolution, and coverage. Unfortunately, increasing channel count also poses significant technical and practical challenges. Here, we describe a new OPM-MEG system which exploits 3-axis sensors and integrated miniaturised electronic control units to measure MEG data from up to 384 channels. We also introduce a high-speed calibration method to ensure that the fields measured are high fidelity. We initially validate this system using a phantom: specifically, we localise a set of magnetic dipoles and compare the MEG-derived distances between them with the ground truth, demonstrating an accuracy of ~1 mm. We further show that the correlation between a mathematical model of the phantom and the magnetic fields measured is >0.998. Secondly, we demonstrate utility of our system for human MEG acquisition. Via measurement of visual cortex activity, we demonstrate improvements in sensitivity afforded by a higher channel count, and via a movie-watching experiment we show increased spatial resolution. In sum, we report the first OPM-MEG system with a channel count larger than that of typical conventional MEG devices. This represents a significant step towards OPMs becoming the sensor of choice for MEG.

Indexed as

imaging hardwaremagnetoencephalography (MEG)optically pumped magnetometer (OPM)

Identifiers

PMID41445560
PMCPMC12723407

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.