Evidence map›Paper›PMID 26941592›Full record

ArticleFrontiers in neuroscience2016

Speed-Dependent Modulation of the Locomotor Behavior in Adult Mice Reveals Attractor and Transitional Gaits.

Maxime Lemieux, Nicolas Josset, Marie Roussel, Sébastien Couraud, Frédéric Bretzner

Abstract read
In one paragraph

Article in Frontiers in neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
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  9. Article
  10. Sensory Feedback and Central Neuronal Interactions in Mouse Locomotion.bioRxiv : the preprint server for biology · 2023
    Article
  11. Article
  12. Spinal control of locomotion before and after spinal cord injury.bioRxiv : the preprint server for biology · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Parallel locomotor control strategies in mice and flies.Current opinion in neurobiology · 2022
    Review
  17. Article
  18. Article
  19. Review
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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

5 authors.

Maxime LemieuxCentre de Recherche du CHU de Québec, CHUL-Neurosciences Québec, QC, Canada.
Nicolas JossetCentre de Recherche du CHU de Québec, CHUL-Neurosciences Québec, QC, Canada.
Marie RousselCentre de Recherche du CHU de Québec, CHUL-Neurosciences Québec, QC, Canada.
Sébastien CouraudCentre de Recherche du CHU de Québec, CHUL-Neurosciences Québec, QC, Canada.
Frédéric BretznerCentre de Recherche du CHU de Québec, CHUL-NeurosciencesQuébec, QC, Canada; Department of Psychiatry and Neurosciences, Faculty of Medicine, Université LavalQuébec, QC, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Locomotion results from an interplay between biomechanical constraints of the muscles attached to the skeleton and the neuronal circuits controlling and coordinating muscle activities. Quadrupeds exhibit a wide range of locomotor gaits. Given our advances in the genetic identification of spinal and supraspinal circuits important to locomotion in the mouse, it is now important to get a better understanding of the full repertoire of gaits in the freely walking mouse. To assess this range, young adult C57BL/6J mice were trained to walk and run on a treadmill at different locomotor speeds. Instead of using the classical paradigm defining gaits according to their footfall pattern, we combined the inter-limb coupling and the duty cycle of the stance phase, thus identifying several types of gaits: lateral walk, trot, out-of-phase walk, rotary gallop, transverse gallop, hop, half-bound, and full-bound. Out-of-phase walk, trot, and full-bound were robust and appeared to function as attractor gaits (i.e., a state to which the network flows and stabilizes) at low, intermediate, and high speeds respectively. In contrast, lateral walk, hop, transverse gallop, rotary gallop, and half-bound were more transient and therefore considered transitional gaits (i.e., a labile state of the network from which it flows to the attractor state). Surprisingly, lateral walk was less frequently observed. Using graph analysis, we demonstrated that transitions between gaits were predictable, not random. In summary, the wild-type mouse exhibits a wider repertoire of locomotor gaits than expected. Future locomotor studies should benefit from this paradigm in assessing transgenic mice or wild-type mice with neurotraumatic injury or neurodegenerative disease affecting gait.

Indexed as

graph analysiskinematiclocomotor gaitsmousespeedsteady-state

Identifiers

PMID26941592
PMCPMC4763020

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.