Detection of spontaneous seizures in EEGs in multiple experimental mouse models of epilepsy

Background

EEG monitoring is widely used in animal models of epilepsy to study disease progression and evaluate new treatments. However, manual seizure annotation from long-term recordings is highly time-consuming.

Research

This study developed Epi-AI, a machine learning-based semi-automated seizure detection approach for multiple mouse models of epilepsy. EEG recordings from 26 mice with a total duration of 6,451 hours were used for development and testing.

Potential Impact

Epi-AI provides a fast, objective, and reproducible method for analysing long-duration rodent EEG recordings, supporting epilepsy research and preclinical drug development