AI-nalyzing Mouse Behavior to Combat Epilepsy

Abstract

Hidden Behavioral Fingerprints in Epilepsy Gschwind T, Zeine A, Raikov I, Markowitz JE, Gillis WF, Felong S, Isom LL, Datta SR, Soltesz I. Neuron. 2023;111(9):1440-1452.e5. doi:10.1016/j.neuron.2023.02.003. PMID: 36841241; PMCID: PMC10164063 Epilepsy is a major disorder affecting millions of people. Although modern electrophysiological and imaging approaches provide high-resolution access to the multi-scale brain circuit malfunctions in epilepsy, our understanding of how behavior changes with epilepsy has remained rudimentary. As a result, screening for new therapies for children and adults with devastating epilepsies still relies on the inherently subjective, semi-quantitative assessment of a handful of pre-selected behavioral signs of epilepsy in animal models. Here, we use machine learning-assisted 3D video analysis to reveal hidden behavioral phenotypes in mice with acquired and genetic epilepsies and track their alterations during post-insult epileptogenesis and in response to anti-epileptic drugs. These results show the persistent reconfiguration of behavioral fingerprints in epilepsy and indicate that they can be employed for rapid, automated anti-epileptic drug testing at scale.