Evidence map›Paper›PMID 28356468›Full record

ArticleJournal of neurophysiology2017

Strategies for obstacle avoidance during walking in the cat.

Kevin M I Chu, Sandy H Seto, Irina N Beloozerova, Vladimir Marlinski

Open access · bronzeAbstract read
In one paragraph

Article in Journal of neurophysiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.2field-weighted citation impact, top 46% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. When cats need to see to step accurately?The Journal of physiology · 2022
    Article
  5. Review
  6. 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 at 1 institution in 1 country.

Kevin M I ChuDivision of Neurobiology, Barrow Neurological Institute, Phoenix, Arizona.
Sandy H SetoDivision of Neurobiology, Barrow Neurological Institute, Phoenix, Arizona.
Irina N BeloozerovaDivision of Neurobiology, Barrow Neurological Institute, Phoenix, Arizona.
Vladimir MarlinskiDivision of Neurobiology, Barrow Neurological Institute, Phoenix, Arizona vladimir.marlinski@dignityhealth.org.
Barrow Neurological Institute · US

Funding

Forebrain control of locomotionR01NS058659 · NINDS · ST. JOSEPH'S HOSPITAL AND MEDICAL CENTER · PI BELOOZEROVA, IRINA N · 2008 to 2012
$2.2M
NINDS NIH HHS R01 NS058659
6 · The paper itself

Abstract

Avoiding obstacles is essential for successful navigation through complex environments. This study aimed to clarify what strategies are used by a typical quadruped, the cat, to avoid obstacles during walking. Four cats walked along a corridor 2.5 m long and 25 or 15 cm wide. Obstacles, small round objects 2.5 cm in diameter and 1 cm in height, were placed on the floor in various locations. Movements of the paw were recorded with a motion capture and analysis system (Visualeyez, PTI). During walking in the wide corridor, cats' preferred strategy for avoiding a single obstacle was circumvention, during which the stride direction changed while stride duration and swing-to-stride duration ratio were preserved. Another strategy, stepping over the obstacle, was used during walking in the narrow corridor, when lateral deviations of walking trajectory were restricted. Stepping over the obstacle involved changes in two consecutive strides. The stride preceding the obstacle was shortened, and swing-to-stride ratio was reduced. The obstacle was negotiated in the next stride of increased height and normal duration and swing-to-stride ratio. During walking on a surface with multiple obstacles, both strategies were used. To avoid contact with the obstacle, cats placed the paw away from the object at a distance roughly equal to the diameter of the paw. During obstacle avoidance cats prefer to alter muscle activities without altering the locomotor rhythm. We hypothesize that a choice of the strategy for obstacle avoidance is determined by minimizing the complexity of neuro-motor processes required to achieve the behavioral goal.

Indexed as

WalkingAnimalsAvoidance LearningBehavior, AnimalBiomechanical PhenomenaCatsExtremitiesFemaleMalelocomotionmotor controlobstacle avoidancespatial navigation

Identifiers

PMID28356468
PMCPMC5539443
OpenAlexW2598275071

What OpenQuestion holds

Textmetadata
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.