CatWalk Gait Analysis
Objective: Comprehensively analyze the relationship between speed and locomotion variables in rodents using the CatWalk gait analysis system, and develop statistical methods to properly incorporate speed effects when analyzing gait data
This is a CatWalk Gait Analysis protocol using mouse as the model organism. The procedure involves 3 procedural steps, 1 equipment items. Extracted from a 2014 paper published in The Anatomical Record.
Model and subjects
mouse • wild-type • 16
Study window
Estimated timing pending
Core workflow
Animal Selection and Preparation • CatWalk Gait Analysis • Statistical Analysis Using Linear Mixed Model
Primary readouts
- 162 locomotion variables measured by CatWalk system
- Relationship between each locomotion variable and walking speed
- Speed dependency of locomotion variables (R² values)
- Linear vs. nonlinear relationships between variables and speed
Key equipment and reagents
Verified items
0
Direct vendor links
0
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Protocol Steps
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Animal Selection and Preparation
Sixteen wild-type mice were selected for the study to analyze locomotion variables and their relationship to walking speed
Note: Study focused on understanding how speed affects locomotion analysis across a diverse range of variables
View evidence from paper
“comprehensively analyze the relationship between speed and 162 locomotion variables in a group of 16 wild-type mice”
CatWalk Gait Analysis
Mice were subjected to gait analysis using the CatWalk system to measure 162 different locomotion variables and their relationship to walking speed
Note: Analysis revealed that over 90% of variables reported by CatWalk were dependent on speed, with most variables related to speed in a nonlinear manner
View evidence from paper
“over 90% of variables, reported by CatWalk, were dependent on speed with an average R2 value of 0.624, most variables were related to speed in a nonlinear manner”
Statistical Analysis Using Linear Mixed Model
Locomotion variables were analyzed using a linear mixed model statistical method that incorporates speed-dependent relationships rather than attempting to control for speed independently
Note: The linear mixed model was determined to be an appropriate and effective statistical method for locomotion analyses that is inclusive of speed-dependent relationships
View evidence from paper
“the linear mixed model is an appropriate and effective statistical method for locomotion analyses that is inclusive of speed-dependent relationships”