Evidence map›Paper›PMID 34202085›Full record

ReviewInternational journal of molecular sciences2021

Computational Modeling of Spinal Locomotor Circuitry in the Age of Molecular Genetics.

Jessica Ausborn, Natalia A Shevtsova, Simon M Danner

Abstract readReview
In one paragraph

Review in International journal of molecular sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Sensory Feedback and Central Neuronal Interactions in Mouse Locomotion.bioRxiv : the preprint server for biology · 2023
    Article
  10. Article
  11. Spinal control of locomotion before and after spinal cord injury.bioRxiv : the preprint server for biology · 2023
    Article
  12. Article
  13. Article
  14. A Whole-Body Musculoskeletal Model of the Mouse.IEEE access : practical innovations, open solutions · 2021
    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

3 authors.

Jessica AusbornDepartment of Neurobiology and Anatomy, College of Medicine, Drexel University, Philadelphia, PA 19129, USA.ORCID 0000-0003-4500-5131
Natalia A ShevtsovaDepartment of Neurobiology and Anatomy, College of Medicine, Drexel University, Philadelphia, PA 19129, USA.ORCID 0000-0002-1971-9707
Simon M DannerDepartment of Neurobiology and Anatomy, College of Medicine, Drexel University, Philadelphia, PA 19129, USA.ORCID 0000-0002-4642-7064

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
Neural algorithms underlying diversity in visual feature integrationR01NS118562 · NINDS · DREXEL UNIVERSITY · PI VON REYN, CATHERINE R · 2020 to 2024
$2.8M
Neural mechanisms of locomotion evoked by epidural stimulation of the spinal cordR01NS100928 · NINDS · GEORGIA INSTITUTE OF TECHNOLOGY · PI PRILUTSKY, BORIS I · 2017 to 2021
$2.7M
Spinal circuits for sensorimotor integration and interlimb coordination during locomotionR01NS115900 · NINDS · DREXEL UNIVERSITY · PI DANNER, SIMON MICHAEL · 2020 to 2024
$1.7M
NIH HHS R01 NS100928NIH HHS R01 NS110550NIH HHS R01 NS112304NIH HHS R01 NS115900NIH HHS R01 NS118562
6 · The paper itself

Abstract

Neuronal circuits in the spinal cord are essential for the control of locomotion. They integrate supraspinal commands and afferent feedback signals to produce coordinated rhythmic muscle activations necessary for stable locomotion. For several decades, computational modeling has complemented experimental studies by providing a mechanistic rationale for experimental observations and by deriving experimentally testable predictions. This symbiotic relationship between experimental and computational approaches has resulted in numerous fundamental insights. With recent advances in molecular and genetic methods, it has become possible to manipulate specific constituent elements of the spinal circuitry and relate them to locomotor behavior. This has led to computational modeling studies investigating mechanisms at the level of genetically defined neuronal populations and their interactions. We review literature on the spinal locomotor circuitry from a computational perspective. By reviewing examples leading up to and in the age of molecular genetics, we demonstrate the importance of computational modeling and its interactions with experiments. Moving forward, neuromechanical models with neuronal circuitry modeled at the level of genetically defined neuronal populations will be required to further unravel the mechanisms by which neuronal interactions lead to locomotor behavior.

Indexed as

Genetic Association StudiesLocomotionModels, NeurologicalAnimalsFeedback, SensoryHumansInterneuronsMotor NeuronsSpinal Cordcentral pattern generatorcomputational modelinginterneuronsneuronal control of locomotionsensory feedbackspinal cord

Identifiers

PMID34202085
PMCPMC8267724

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.