Evidence map›Paper›PMID 40683938›Full record

ArticleScientific reports2025

Volume conductor models for magnetospinography.

George C O'Neill, Meaghan E Spedden, Maike Schmidt, Stephanie Mellor, Matti Stenroos, Gareth R Barnes

Abstract read
In one paragraph

Article in Scientific reports, 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. Model-based cardiac field artefact correction for OP-MEG.Imaging neuroscience (Cambridge, Mass.) · 2026
    Article
  2. 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

6 authors.

George C O'NeillDepartment of Neuroscience, Physiology and Pharmacology, University College London, London, UK. g.o'neill@ucl.ac.uk.
Meaghan E SpeddenDepartment of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.
Maike SchmidtDepartment of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.
Stephanie MellorDepartment of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.
Matti StenroosDepartment of Neuroscience and Biomedical Engineering, Aalto University School of Science, Espoo, Finland.
Gareth R BarnesDepartment of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.

Funding

Engineering and Physical Sciences Research Council EP/V047264/1UK Research and Innovation EP/X023060/1Wellcome 223736/Z/21/ZWellcome 226793/Z/22/ZWellcome Trust
6 · The paper itself

Abstract

The recent development of small, wearable, magnetic field sensors allow for the investigation of biomagnetic fields with a flexibility previously unavailable. We carry out forward computations to describe how current flow in the spinal cord and thorax gives rise to measurable magnetic fields outside the torso. We compare various open-access volume conductor models, in order to select the most parsimonious and accurate descriptor of the magnetic fields due to source current in the spinal cord. We find that fields produced due to current flow along the superior-inferior axis of the cord are relatively insensitive to the choice of volume conductor model. However, fields produced by current flow in predominantly left-right or anterior-posterior direction are significantly attenuated by the presence of bone in the forward model. Furthermore, volume conductors with bone demonstrate larger differences in field topographies for nearby sources compared to bone-free models. These findings suggest that precise modelling of spinal cord location and surrounding vertebrae will be important a-priori knowledge going forward.

Indexed as

Magnetic FieldsModels, TheoreticalSpinal CordHumans

Identifiers

PMID40683938
PMCPMC12276319

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Registered trials

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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.