Evidence map›Paper›PMID 34324421›Full record

ArticleIEEE transactions on bio-medical engineering2022

Magnetic Field Mapping and Correction for Moving OP-MEG.

Stephanie Mellor, Tim M Tierney, George C OaNeill, Nicholas Alexander, Robert A Seymour, Niall Holmes, Jose D Lopez, Ryan M Hill, Elena Boto, Molly Rea and 7 more

Open access · greenAbstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
5.7field-weighted citation impact, top 3% of its field
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

21 citing papers in PubMed, 53 citations in OpenAlex.

  1. Article
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  3. Determining sensor geometry and gain in a wearable MEG system.Imaging neuroscience (Cambridge, Mass.) · 2025
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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

17 authors at 4 institutions in 2 countries.

Stephanie Mellor
Tim M Tierney
George C OaNeill
Nicholas Alexander
Robert A Seymour
Niall Holmes
Jose D Lopez
Ryan M Hill
Elena Boto
Molly Rea
Gillian Roberts
James Leggett
Richard Bowtell
Matthew J Brookes
Eleanor A Maguire
Matthew C Walker
Gareth R Barnes
University of Nottingham · GBWellcome Centre for Human Neuroimaging · GBEpilepsy Research UK · GBUniversidad de Antioquia · CO

Funding

Wellcome Trust 203147Wellcome Trust 203257Wellcome Trust 203257/Z/16/ZWellcome Trust 210567Wellcome Trust 210567/Z/18/Z
6 · The paper itself

Abstract

backgroundOptically pumped magnetometers (OPMs) have made moving, wearable magnetoencephalography (MEG) possible. The OPMs typically used for MEG require a low background magnetic field to operate, which is achieved using both passive and active magnetic shielding. However, the background magnetic field is never truly zero Tesla, and so the field at each of the OPMs changes as the participant moves. This leads to position and orientation dependent changes in the measurements, which manifest as low frequency artefacts in MEG data.

objectiveWe model the spatial variation in the magnetic field and use the model to predict the movement artefact found in a dataset.

methodsWe demonstrate a method for modelling this field with a triaxial magnetometer, then show that we can use the same technique to predict the movement artefact in a real OPM-based MEG (OP-MEG) dataset.

resultsUsing an 86-channel OP-MEG system, we found that this modelling method maximally reduced the power spectral density of the data by 27.8 ± 0.6 dB at 0 Hz, when applied over 5 s non-overlapping windows.

conclusionThe magnetic field inside our state-of-the art magnetically shielded room can be well described by low-order spherical harmonic functions. We achieved a large reduction in movement noise when we applied this model to OP-MEG data. SIGNIFICANCE: Real-time implementation of this method could reduce passive shielding requirements for OP-MEG recording and allow the measurement of low-frequency brain activity during natural participant movement.

Indexed as

Magnetic FieldsMagnetoencephalographyArtifactsBrainHumans

Identifiers

PMID34324421
PMCPMC7612292
OpenAlexW3186775379

What OpenQuestion holds

Textmetadata
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.