Evidence map›Paper›PMID 41123284›Full record

ArticleHuman brain mapping2025

Mapping Human Proprioceptive Projections of Upper Limb Muscles Through Spinal Cord fMRI.

Raphaëlle Schlienger, Caroline Landelle, Sergio Daniel Hernandez-Charpak, Daniela Maria Pinzon-Corredor, Jeanne Caron-Guyon, Julien Sein, Bruno Nazarian, Jocelyne Bloch, Olivier Felician, Jean-Luc Anton and 2 more

Abstract read
In one paragraph

Article in Human brain mapping, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Raphaëlle SchliengerAix-Marseille University, CNRS, CRPN, Centre de Recherche en Psychologie et Neurosciences, Marseille, France.
Caroline LandelleMcGill University, McConnell Brain Imaging Centre, Department of Neurology and Neurosurgery, Montreal Neurological Institute, Montreal, Canada.
Sergio Daniel Hernandez-CharpakNeuroRestore, Swiss Federal Institute of Technology (EPFL), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.ORCID 0000-0003-0477-8138
Daniela Maria Pinzon-CorredorAix-Marseille University, CNRS, CRPN, Centre de Recherche en Psychologie et Neurosciences, Marseille, France.
Jeanne Caron-GuyonGrenoble-Alpes University, CNRS, GIN, Grenoble Institut Neurosciences, Grenoble, France.
Julien SeinAix-Marseille University, CNRS, MRI-Center, INT, Institute of Neuroscience of la Timone, Marseille, France.
Bruno NazarianAix-Marseille University, CNRS, MRI-Center, INT, Institute of Neuroscience of la Timone, Marseille, France.
Jocelyne BlochNeuroRestore, Swiss Federal Institute of Technology (EPFL), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Olivier FelicianAix-Marseille University, INSERM, INS, Institut de Neurosciences des Systèmes, Marseille, France.
Jean-Luc AntonAix-Marseille University, CNRS, MRI-Center, INT, Institute of Neuroscience of la Timone, Marseille, France.
Grégoire CourtineNeuroRestore, Swiss Federal Institute of Technology (EPFL), Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland.
Anne KavounoudiasAix-Marseille University, CNRS, CRPN, Centre de Recherche en Psychologie et Neurosciences, Marseille, France.ORCID 0000-0002-2712-8739

Funding

Agence de l'Innovation de Défense FranceAgence Nationale de la Recherche ANR-21-ASTR-0022Fondation Gueules Cassées
6 · The paper itself

Abstract

The functional organization of the human spinal cord has primarily been derived from clinical observations and invasive electrophysiological studies. Recent methodological advances opened the possibility of studying the neuronal activity of the spinal cord in humans using noninvasive functional magnetic resonance imaging (fMRI). Here, we took advantage of fMRI to map the patterns of activity elicited by muscle-specific proprioceptive information along the whole cervical cord. We quantified the fMRI signals of the cervical spinal cord in 24 healthy participants who received mechanical muscle tendon vibration to stimulate proprioceptive afferents. The wrist flexor, biceps, and anterior deltoid muscles were independently stimulated while the upper limbs were stationary to avoid movement artifacts. To account for anatomical variability among participants, we optimized activity pattern localization by identifying individual rootlets and determining corresponding spinal levels using a trained deep-learning model. Distinct activation patterns emerged based on the stimulated muscle and body side, which coincided with well-established myotome maps. Concretely, the vibration-induced proprioceptive stimuli activity circumscribed to the ipsilateral ventral horn with a rostrocaudal distribution that reflected the proximo-distal location of the stimulated muscles. This spatial organization supported the proprioceptive origin of the response. This study demonstrates that muscle tendon vibration combined with spinal cord fMRI enables the noninvasive identification of upper-limb myotomes within the cervical spinal cord, offering new possibilities for studying the functional organization of the spinal cord and for clinical applications.

Indexed as

Magnetic Resonance ImagingMuscle, SkeletalProprioceptionSpinal CordUpper ExtremityAdultFemaleHumansMaleVibrationYoung Adultmechanical vibrationmovement illusionsmuscle proprioceptionspinal cord

Identifiers

PMID41123284
PMCPMC12541885

What OpenQuestion holds

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LicenceCC BY-NC
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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.