Evidence map›Paper›PMID 40971435›Full record

ArticleScience advances2025

Personalized mapping of inhibitory spinal cord circuits in humans via noninvasive neural decoding and in silico modeling.

Alejandro Pascual-Valdunciel, Natalia T Cónsul, Robert M Brownstone, Marco Beato, Dario Farina, Filipe Nascimento, M Görkem Özyurt

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. 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

7 authors.

Alejandro Pascual-ValduncielDepartment of Bioengineering, Imperial College London, London, UK.ORCID 0000-0002-7984-7516
Natalia T CónsulDepartment of Bioengineering, Imperial College London, London, UK.ORCID 0009-0006-8138-801X
Robert M BrownstoneDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK.ORCID 0000-0001-5135-2725
Marco BeatoDepartment of Neuroscience Physiology and Pharmacology (NPP), Gower Street, University College London, London WC1E 6BT, UK.ORCID 0000-0002-7283-8318
Dario FarinaDepartment of Bioengineering, Imperial College London, London, UK.ORCID 0000-0002-7883-2697
Filipe NascimentoDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK.ORCID 0000-0002-9426-2807
M Görkem ÖzyurtDepartment of Neuromuscular Diseases, UCL Queen Square Institute of Neurology, University College London, London WC1N 3BG, UK.ORCID 0000-0003-2531-1174

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Studying human motoneuron activity through electromyography (EMG) can yield insights into the operation of fundamental spinal cord microcircuits. Traditional surface and needle EMG methodologies have limited capacity to shed light on the diversity of motor unit (MU) control strategies that may be unique to each individual. Here, we used high-density surface EMG (HDsEMG) to sample multiple MUs per participant to investigate the features of inhibitory spinal microcircuits in both upper and lower limb control. We characterized the net inhibition as a function of individual MU firing rates, revealing participant-specific relationships. In silico modeling replicated these experimental characteristics and suggested that properties of the inhibitory currents rather than motoneuron size are responsible for net functional inhibition. Our results show that HDsEMG can highlight distinct control strategies across circuits and motor pools, revealing participant-specific properties of inhibitory spinal microcircuits.

Indexed as

Computer SimulationModels, NeurologicalMotor NeuronsNerve NetSpinal CordAdultElectromyographyFemaleHumansMale

Identifiers

PMID40971435
PMCPMC13155565

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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.