Evidence map›Paper›PMID 40083072›Full record

ArticleThe European journal of neuroscience2025

Anatomically Veridical On-Scalp Sensor Topographies.

Nicholas A Alexander, Johan Medrano, Robert A Seymour, Stephanie Mellor, George C O'Neill, Meaghan E Spedden, Tim M Tierney, Eleanor A Maguire

Abstract read
In one paragraph

Article in The European journal of neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. SPM-30 years and beyond.Cerebral cortex (New York, N.Y. : 1991) · 2025
    Review
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

8 authors.

Nicholas A AlexanderFunctional Imaging Laboratory (FIL), Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID 0000-0001-5161-684X
Johan MedranoFunctional Imaging Laboratory (FIL), Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID 0000-0002-7558-2071
Robert A SeymourFunctional Imaging Laboratory (FIL), Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID 0000-0001-8600-8123
Stephanie MellorSpinal Cord Injury Center, Balgrist University Hospital, Zürich, Switzerland.ORCID 0000-0001-8164-645X
George C O'NeillDepartment of Neuroscience, Physiology and Pharmacology, University College London, London, UK.ORCID 0000-0002-0035-3768
Meaghan E SpeddenFunctional Imaging Laboratory (FIL), Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID 0000-0001-6854-2226
Tim M TierneyFunctional Imaging Laboratory (FIL), Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID 0009-0008-7575-679X
Eleanor A MaguireFunctional Imaging Laboratory (FIL), Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, UK.ORCID 0000-0002-9470-6324

Funding

Engineering and Physical Sciences Research Council EP/X023060/1Epilepsy Research UK FY2101National Brain AppealWellcome TrustWellcome Trust 203147/Z/16/ZWellcome Trust 210567/Z/18/ZWellcome Trust 223736/Z/21/ZWellcome Trust 226793/Z/22/Z
6 · The paper itself

Abstract

When working with sensor-level data recorded using on-scalp neuroimaging methods such as electroencephalography (EEG), it is common practice to use two-dimensional (2D) representations of sensor positions to aid interpretation. Positioning of sensors relative to anatomy, as in the classic 10-20 system of EEG electrode placement, enables the use of 2D topographies that are familiar to many researchers and clinicians. However, when using another increasingly popular on-scalp neuroimaging method, optically pumped magnetometer-based magnetoencephalography (OP-MEG), bespoke sensor arrays are much more common, and these are not prepared according to any standard principle. Consequently, polar projection is often used to produce individual sensor topographies that are not directly related to anatomy and cannot be averaged across people simply. Given the current proliferation of OP-MEG facilities globally, this issue will become an increasing hindrance when visualising OP-MEG data, particularly for group studies. To address this problem, we adapted and extended the 10-20 system to build a flexible, anatomical projection method applied to digitised head shape, fiducials and sensor positions. We demonstrate that the method maintains spatially veridical representations across individuals improving on standard polar projections at varying OPM sensor array densities. By applying our projection method, the benefits of anatomically veridical 2D topographies can now be enjoyed when visualising data, such as those from OP-MEG, regardless of variation in sensor placement as in sparse or focal arrays.

Indexed as

BrainBrain MappingMagnetoencephalographyAdultElectroencephalographyFemaleHeadHumansMale10–20data visualisationEEGmagnetoencephalographyoptically pumped magnetometertopography

Identifiers

PMID40083072
PMCPMC11906917

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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.