Traditionally, there are two fundamentally different ways to analyze gait in animals. One can either observe or measure gait in an unrestricted manner, or in a forced manner, as seen when using a treadmill or treadwheel.
In my last two blogs, I wrote about static gait parameters. Specifically, what a single footprint can tell you and what kind of information you can get from the distance relationships between prints. Now it’s time to talk about all four paws, and the time based relationships between them. If you ask me, we’ve been saving the best blog for last!
Temporal relations are the parameters that have to do with time, such as timing and duration. This is where automation of gait research shows it true colors.
Parameters that describe the relation and distances between footfalls.
Last week I wrote about the value of a print. A footprint, that is. With CatWalk XT, you can extract a lot of information from just one footprint. In this post, I am taking it a step further by talking about the relationship between prints.
In the study of many different disorders that affect the nervous system, muscles, or bones, it is important to know how the animal walks. Does it have a regular gait, following a normal pattern of footsteps? Or can we detect a lack of coordination, or ataxia? Those are important behavioral observations in many studies. So how can you detect them: by looking at the relation between prints.
The usefulness of gait is well established in research on spinal cord injury, ataxia, and arthritis. But in fact, research on all disorders that influence gait in any way, can benefit from gait and footfall analysis. Gait is an important part of the behavioral repertoire of animals, and detailed gait analysis is a logical endpoint to take into account.