Evidence map›Paper›PMID 34879209›Full record

ArticleJournal of neurophysiology2022

The effect of limb position on a static knee extension task can be explained with a simple spinal cord circuit model.

Gareth York, Hugh Osborne, Piyanee Sriya, Sarah Astill, Marc de Kamps, Samit Chakrabarty

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurophysiology, 2022. 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
0.3field-weighted citation impact, top 45% of its field
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, 5 citations in OpenAlex.

  1. Muscle synergies in upper limb stroke rehabilitation: a scoping review.European journal of physical and rehabilitation medicine · 2024
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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 at 1 institution in 1 country.

Gareth YorkSchool of Biomedical Sciences Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-6645-8343
Hugh OsborneInstitute for Artificial Intelligence and Biological Computation School of Computing, University of Leeds, Leeds, United Kingdom.ORCID 0000-0003-4678-2186
Piyanee SriyaSchool of Biomedical Sciences Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.ORCID 0000-0001-5935-2877
Sarah AstillSchool of Biomedical Sciences Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-9443-6934
Marc de KampsInstitute for Artificial Intelligence and Biological Computation School of Computing, University of Leeds, Leeds, United Kingdom.ORCID 0000-0001-7162-4425
Samit ChakrabartyInstitute for Artificial Intelligence and Biological Computation School of Computing, University of Leeds, Leeds, United Kingdom.ORCID 0000-0002-4389-8290
University of Leeds · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of proprioceptive feedback on muscle activity during isometric tasks is the subject of conflicting studies. We performed an isometric knee extension task experiment based on two common clinical tests for mobility and flexibility. The task was carried out at four preset angles of the knee, and we recorded from five muscles for two different hip positions. We applied muscle synergy analysis using nonnegative matrix factorization on surface electromyograph recordings to identify patterns in the data that changed with internal knee angle, suggesting a link between proprioception and muscle activity. We hypothesized that such patterns arise from the way proprioceptive and cortical signals are integrated in neural circuits of the spinal cord. Using the MIIND neural simulation platform, we developed a computational model based on current understanding of spinal circuits with an adjustable afferent input. The model produces the same synergy trends as observed in the data, driven by changes in the afferent input. To match the activation patterns from each knee angle and position of the experiment, the model predicts the need for three distinct inputs: two to control a nonlinear bias toward the extensors and against the flexors, and a further input to control additional inhibition of rectus femoris. The results show that proprioception may be involved in modulating muscle synergies encoded in cortical or spinal neural circuits.

Indexed as

AdolescentAdultElectromyographyFeedback, SensoryFemaleHumansKneeMaleModels, BiologicalMotor ActivityMuscle, SkeletalNerve NetProprioceptionSpinal CordYoung Adultisometric knee extensionneural controlpopulation modelproprioceptionspinal circuits

Identifiers

PMID34879209
PMCPMC8802899
OpenAlexW4200277322

What OpenQuestion holds

Textmetadata
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.