Contributed Talk Sessions | Poster Sessions | All Posters | Search Papers

Poster Session A: Tuesday, August 12, 1:30 – 4:30 pm, de Brug & E‑Hall

Automated characterization of naturalistic behaviors in a chronic model of epilepsy

Aurélie De Groote¹, Joeri Nicolaes², Colette Chaussee, Catherine Thissen, Alan Even, Marie Tripoli, Fabrice Martiny, Sylvia Dardenne, Pierre-Yves Cortin, Sasker Grootjans¹, Diogo Vila Verde, Yana Van Den Herrewegen, Jérôme Clasadonte, Natalia Rodriguez, Christian Wolff, Vincenzo Marra; ¹UCB Pharma, ²KU Leuven

Presenter: Aurélie De Groote

Epilepsy encompasses a set of complex, multifaceted disorders presenting a large panel of disease symptoms. A deeper understanding of their underlying disease mechanisms is likely to be required for the development of disease-modifying therapies (Gschwind et al., 2023; Lignani, Baldelli & Marra, 2020). Several forms of epilepsy are characterized by changes in gene expression profiles of neuronal networks that lead to significant alterations at the neuronal network and behavioral levels. In this study, we investigate the behavioral phenotype of a chronic epilepsy model by leveraging machine learning algorithms to analyze long-term video data of mice in naturalistic settings. We aim to identify behavioral markers beyond seizures and assess the impact of potential therapeutic treatments. Describing their behaviors in terms of behavioral modules will also allow us to better understand behavioral transitions and to capture correlations between neural pathways and behavior in healthy and pathological conditions.

Topic Area: Brain Networks & Neural Dynamics

Extended Abstract: Full Text PDF