Evidence map›Paper›PMID 39401073›Full record

ArticleeLife2024

Operation regimes of spinal circuits controlling locomotion and the role of supraspinal drives and sensory feedback.

Ilya A Rybak, Natalia A Shevtsova, Sergey N Markin, Boris I Prilutsky, Alain Frigon

Abstract read
In one paragraph

Article in eLife, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

5 authors.

Ilya A RybakDepartment of Neurobiology and Anatomy, College of Medicine, Drexel University, Philadelphia, United States.ORCID https://orcid.org/0000-0003-3461-349X
Natalia A ShevtsovaDepartment of Neurobiology and Anatomy, College of Medicine, Drexel University, Philadelphia, United States.ORCID https://orcid.org/0000-0002-1971-9707
Sergey N MarkinDepartment of Neurobiology and Anatomy, College of Medicine, Drexel University, Philadelphia, United States.
Boris I PrilutskySchool of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.ORCID https://orcid.org/0000-0003-0499-3890
Alain FrigonDepartment of Pharmacology-Physiology, Faculty of Medicine and Health Sciences, Centre de Recherche du CHUS, Université de Sherbrooke, Sherbrooke, Canada.ORCID https://orcid.org/0000-0002-9259-2706

Funding

Limb coordination during locomotion before and after spinal cord injuryR01NS110550 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI BORIS I PRILUTSKY, Ilya A Rybak · 2020 to 2026
$3.9M
Propriopsinal neuron function in normal and post-SCI locomotionR01NS112304 · NINDS · UNIVERSITY OF LOUISVILLE · PI Simon Michael Danner, David SK Magnuson · 2021 to 2026
$3.0M
National Science Foundation 2024414NIH HHS R01 NS110550NINDS NIH HHS R01 NS110550NINDS NIH HHS R01 NS112304
6 · The paper itself

Abstract

Locomotion in mammals is directly controlled by the spinal neuronal network, operating under the control of supraspinal signals and somatosensory feedback that interact with each other. However, the functional architecture of the spinal locomotor network, its operation regimes, and the role of supraspinal and sensory feedback in different locomotor behaviors, including at different speeds, remain unclear. We developed a computational model of spinal locomotor circuits receiving supraspinal drives and limb sensory feedback that could reproduce multiple experimental data obtained in intact and spinal-transected cats during tied-belt and split-belt treadmill locomotion. We provide evidence that the spinal locomotor network operates in different regimes depending on locomotor speed. In an intact system, at slow speeds (<0.4 m/s), the spinal network operates in a non-oscillating state-machine regime and requires sensory feedback or external inputs for phase transitions. Removing sensory feedback related to limb extension prevents locomotor oscillations at slow speeds. With increasing speed and supraspinal drives, the spinal network switches to a flexor-driven oscillatory regime and then to a classical half-center regime. Following spinal transection, the model predicts that the spinal network can only operate in the state-machine regime. Our results suggest that the spinal network operates in different regimes for slow exploratory and fast escape locomotor behaviors, making use of different control mechanisms.

Indexed as

Feedback, SensoryLocomotionSpinal CordAnimalsCatsModels, NeurologicalNerve Netcatlocomotionneurosciencespinal cord

Identifiers

PMID39401073
PMCPMC11473106

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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.