Evidence map›Paper›PMID 40648415›Full record

ArticleSensors (Basel, Switzerland)2025

Using Wearable MEG to Study the Neural Control of Human Stepping.

Meaghan E Spedden, George C O'Neill, Timothy O West, Tim M Tierney, Stephanie Mellor, Nicholas A Alexander, Robert Seymour, Jesper Lundbye-Jensen, Jens Bo Nielsen, Simon F Farmer and 2 more

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 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. Expanding the toolkit: OPMs for studying the developing brain.Imaging neuroscience (Cambridge, Mass.) · 2026
    Review
  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

12 authors.

Meaghan E SpeddenDepartment of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, UK.
George C O'NeillDepartment of Neuroscience, Physiology and Pharmacology, University College London, London WC1E 6BT, UK.
Timothy O WestDepartment of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, UK.ORCID 0000-0003-4628-0303
Tim M TierneyDepartment of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, UK.
Stephanie MellorDepartment of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, UK.ORCID 0000-0001-8164-645X
Nicholas A AlexanderDepartment of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, UK.ORCID 0000-0001-5161-684X
Robert SeymourDepartment of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, UK.ORCID 0000-0001-8600-8123
Jesper Lundbye-JensenMovement & Neuroscience, Department of Nutrition, Exercise and Sports, University of Copenhagen, 2200 Copenhagen, Denmark.ORCID 0000-0003-3144-861X
Jens Bo NielsenDepartment of Neuroscience, University of Copenhagen, 2200 Copenhagen, Denmark.
Simon F FarmerDepartment for Clinical and Movement Neuroscience, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK.
Sven BestmannDepartment of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, UK.
Gareth R BarnesDepartment of Imaging Neuroscience, UCL Institute of Neurology, London WC1N 3AR, UK.ORCID 0000-0002-5396-7712

Funding

Engineering and Physical Sciences Research Council EP/V047264/1Epilepsy Research UK FY2101UK Research and Innovation EP/X023060/1Wellcome TrustWellcome Trust 223736/Z/21/ZWellcome Trust 226793/Z/22/Z
6 · The paper itself

Abstract

A central challenge in movement neuroscience is developing methods for non-invasive spatiotemporal imaging of brain activity during natural, whole-body movement. We test the utility of a new brain imaging modality, optically pumped magnetoencephalography (OP-MEG), as an instrument to study the spatiotemporal dynamics of human walking. Specifically, we ask whether known physiological signals can be recovered during discrete steps involving large-scale, whole-body translation. Our findings show that by using OP-MEG, we can image the brain during large-scale, natural movements. We provide proof-of-principle evidence for movement-related changes in beta band activity during stepping vs. standing, which are source-localized to the sensorimotor cortex. This work supports the significant potential of the OP-MEG modality for addressing fundamental questions in human gait research relevant to both the physiological and pathological mechanisms of walking.

Indexed as

MagnetoencephalographyWalkingWearable Electronic DevicesAdultBrainFemaleGaitHumansMaleSensorimotor Cortexnaturalistic neuroimagingOP-MEGsensorimotor control

Identifiers

PMID40648415
PMCPMC12252452

What OpenQuestion holds

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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.