Closed-Loop Behavioral Movement Data Acquisition and Reward System for Stroke-Induced Mice
Quantifying the Interrelationship between the Biomechanical Patterns of Stroke-Induced Mice and the Classification of Behavioral Recovery
Explore this site to learn about the design process with the Bauer Lab!
The Bauer Lab currently performs research on the effects of stroke on functional behavioral recovery in mice populations. Stroke is known to cause structural damage to neural circuit networks, both locally and globally across several regions within the brain, leading to behavioral deficits across multiple domains.
Light-based imaging modalities use the gradient differences of oxygenated and deoxygenated blood to measure local changes in blood volume and oxygenation in regions of the brain. Consequently, this was shown to measure relative brain activity. Optogenetics is a commonly-used technique within the lab to quantify brain effective connectivity (EC), which is the measure of the influence that one region in the brain has on another, revealing the functional connectivity that is obscured by network-level synchronization.
Our group has a particular interest in working with the Bauer Lab, given our backgrounds with machine learning techniques and functional brain activity mapping. Jonah Padawer-Curry, a PhD student in the lab, is currently conducting a project to develop a set of manual and AI-based image analysis algorithms to classify behavioral recovery from measures of systems-level brain function in mice after stroke. One of the components that has yet to be addressed within his project is the changes in behavior patterns when completing physical tasks. This has created the opportunity for the group to work with the lab to create a device that is able to address this need.