Many labs use video tracking software to increase the efficiency of their research. In fact, EthoVision XT video tracking software has just reached an impressive milestone: 2000 sites worldwide.
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 the beginning of this year I wrote a post about the Morris water maze test, a popular and well-validated paradigm to study learning and memory in rats and mice.
Brains are complicated. We all know that. Like an entangled bunch of wires. Still, over the years, neuroscientists have been able to map out several brain regions and their functions in behavior and physiology.
Autism (ASD) continues to be an important topic in scientific research. Although finding the actual cause of ASD is still years away, there have been several studies that point to a strong genetic component.
I have written two blog posts about static gait parameters. 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 post for last!
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.
So what can one footprint tell you? Well, it could tell you a lot. Simply putting the paw in ink and studying the print left behind is one way to go about it, but there are far more sophisticated ways of footprint analysis.
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.
We all show some form of compulsive behavior. I triple check to make sure I locked my car, knowing that it’s locked but still feeling the need. But what if compulsions, rituals, and repetition rule your everyday live?