In:
PLOS ONE, Public Library of Science (PLoS), Vol. 17, No. 8 ( 2022-8-11), p. e0272233-
Abstract:
Precise evaluation of motor functions using simple and reproducible tests for mouse models of spinal cord injury (SCI) are required. Overground walking of SCI mice has been tested by Basso Mouse Scale for locomotion (BMS). In contrast, only a few works quantify walking performances of SCI mice on narrow beams, a different task. Here, we established a novel scoring system using a single beam walking apparatus for SCI mice. The scoring system uses binary judgments of values such as retention, moving forward and reaching the goal on a beam for rating. In addition, high score was given to SCI mouse when the mouse efficiently used hindlimbs for locomotion on the beam. A high rate of concordance of the score derived from positions of hindlimbs between two observers was obtained. Mice displayed the lowest total score on the beam immediately after the SCI, then the score gradually increased like time course of BMS score. Furthermore, the total scores reflected gradation of severity of SCI in 2 strains of mice. The beam walking score proved to be strongly correlated with that of BMS score, indicating that performances between overground walking and beam walking are partly correlated in SCI mice. Collectively, the novel scoring system offers an opportunity to easily evaluate motor performances of mice with SCI.
Type of Medium:
Online Resource
ISSN:
1932-6203
DOI:
10.1371/journal.pone.0272233
DOI:
10.1371/journal.pone.0272233.g001
DOI:
10.1371/journal.pone.0272233.g002
DOI:
10.1371/journal.pone.0272233.g003
DOI:
10.1371/journal.pone.0272233.g004
DOI:
10.1371/journal.pone.0272233.g005
DOI:
10.1371/journal.pone.0272233.g006
DOI:
10.1371/journal.pone.0272233.g007
DOI:
10.1371/journal.pone.0272233.s001
DOI:
10.1371/journal.pone.0272233.s002
DOI:
10.1371/journal.pone.0272233.s003
DOI:
10.1371/journal.pone.0272233.s004
DOI:
10.1371/journal.pone.0272233.s005
DOI:
10.1371/journal.pone.0272233.s006
Language:
English
Publisher:
Public Library of Science (PLoS)
Publication Date:
2022
detail.hit.zdb_id:
2267670-3
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