Evidence map›Paper›PMID 41296810›Full record

ArticlePLoS biology2025

Electrical Spinal Imaging: A noninvasive, high-resolution approach that enables electrophysiological mapping of the human spinal cord.

Giulio Gabrieli, Richard Somervail, André Mouraux, Massimo Leandri, Patrick Haggard, Gian Domenico Iannetti

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Article in PLoS biology, 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

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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. 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.

Giulio GabrieliNeuroscience and Behaviour Laboratory, Italian Institute of Technology, Rome, Italy.
Richard SomervailNeuroscience and Behaviour Laboratory, Italian Institute of Technology, Rome, Italy.
André MourauxInstitute of Neuroscience, Université Catholique de Louvain, Brussels, Belgium.
Massimo LeandriDINOGMI, Laboratory of Clinical and Experimental Electrophysiology, University of Genova, Genova, Italy.
Patrick HaggardDepartment of Neuroscience, Physiology and Pharmacology, University College London, London, United Kingdom.
Gian Domenico IannettiNeuroscience and Behaviour Laboratory, Italian Institute of Technology, Rome, Italy.ORCID 0000-0002-4364-2068

Funding

European Research CouncilItalian Institute of Technology
6 · The paper itself

Abstract

The spinal cord is the key bridge between the brain and the body. However, scientific understanding of spinal cord function has historically been limited because noninvasive measures of its neural activity have proven exceptionally challenging. In this work, we describe an enhanced recording and analysis approach, Electrical Spinal Imaging (ESI), to obtain noninvasive, high-resolution images of the electrical activity of the human spinal cord. ESI is analytically simple, easy to implement, and data-driven: it does not involve template-based strategies prone to produce spurious signals. Using this approach, we provide a detailed description and physiological characterization of the spatiotemporal dynamics of the peripheral, spinal, and cortical activity elicited by somatosensory stimulation. We also demonstrate that attention modulates postsynaptic activity at spinal cord level. Our method has enabled five important insights regarding spinal cord activity. (1) We identified three distinct responses in the time domain: sP9, sN13, and sP22. (2) The sP9 is a traveling wave reflecting the afferent volley entering the spinal cord through the dorsal root. (3) In contrast, the sN13 and sP22 reflect segmental postsynaptic activity. (4) While the sP9 response is first seen on the dorsal electrodes ipsilateral to the stimulated side, the sN13 and sP22 were not lateralized with respect to the side of stimulation. (5) Unimodal attention strongly modulates the amplitude of the sP22, but not that of the sP9 and sN13 components. The proposed method offers critical insights into the spatiotemporal dynamics of somatosensory processing within the spinal cord, paving the way for precise noninvasive functional monitoring of the spinal cord in basic and clinical neurophysiology.

Indexed as

Spinal CordAdultElectric StimulationElectrophysiological PhenomenaEvoked Potentials, SomatosensoryFemaleHumansMale

Identifiers

PMID41296810
PMCPMC12711025

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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.