Evidence map›Paper›PMID 24550483›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2014

Gating of steering signals through phasic modulation of reticulospinal neurons during locomotion.

Alexander K Kozlov, Andreas A Kardamakis, Jeanette Hellgren Kotaleski, Sten Grillner

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Fine-grained descending control of steering in walkingbioRxiv : the preprint server for biology · 2023
    Article
  8. Review
  9. Article
  10. Neuroscience needs evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  11. Article
  12. Article
  13. The CPGs for Limbed Locomotion-Facts and Fiction.International journal of molecular sciences · 2021
    Review
  14. Article
  15. Article
  16. Article
  17. Phenomenological models of NaScientific reports · 2019
    Article
  18. Article
  19. The role of the optic tectum for visually evoked orienting and evasive movements.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  20. 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

4 authors.

Alexander K KozlovSchool of Computer Science and Communication, Royal Institute of Technology, SE-100 44 Stockholm, Sweden.
Andreas A Kardamakis
Jeanette Hellgren Kotaleski
Sten Grillner

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The neural control of movements in vertebrates is based on a set of modules, like the central pattern generator networks (CPGs) in the spinal cord coordinating locomotion. Sensory feedback is not required for the CPGs to generate the appropriate motor pattern and neither a detailed control from higher brain centers. Reticulospinal neurons in the brainstem activate the locomotor network, and the same neurons also convey signals from higher brain regions, such as turning/steering commands from the optic tectum (superior colliculus). A tonic increase in the background excitatory drive of the reticulospinal neurons would be sufficient to produce coordinated locomotor activity. However, in both vertebrates and invertebrates, descending systems are in addition phasically modulated because of feedback from the ongoing CPG activity. We use the lamprey as a model for investigating the role of this phasic modulation of the reticulospinal activity, because the brainstem-spinal cord networks are known down to the cellular level in this phylogenetically oldest extant vertebrate. We describe how the phasic modulation of reticulospinal activity from the spinal CPG ensures reliable steering/turning commands without the need for a very precise timing of on- or offset, by using a biophysically detailed large-scale (19,600 model neurons and 646,800 synapses) computational model of the lamprey brainstem-spinal cord network. To verify that the simulated neural network can control body movements, including turning, the spinal activity is fed to a mechanical model of lamprey swimming. The simulations also predict that, in contrast to reticulospinal neurons, tectal steering/turning command neurons should have minimal frequency adaptive properties, which has been confirmed experimentally.

Indexed as

Models, NeurologicalAnimalsCentral Pattern GeneratorsComputer SimulationEfferent PathwaysLampreysLocomotionMotor NeuronsOrientationPatch-Clamp TechniquesSuperior Colliculicompartmental modellingfull-scale modellarge-scale modelingMLR

Identifiers

PMID24550483
PMCPMC3948313

What OpenQuestion holds

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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.