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
Gather these items before starting the experiment. Check off items as you prepare.
Equipment1
Noldus
Software1
Noldus
1 item available from ConductScience
Estimated: $2,610.00
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Protocol Steps
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”
