Interpretable EEG biomarkers for neurological disease models in mice using bag-of-waves classifiers

Key Points

• This research aims to identify interpretable EEG biomarkers to differentiate epilepsy genotypes in mice.
• Utilized EEG waveforms as potential biomarkers for epilepsy.
• Applied bag-of-waves classifiers for feature representation.
• Conducted analysis on mouse models of neurological diseases.
• EEG waveforms effectively served as interpretable phenotypes.
• Bag-of-waves classifiers successfully identified different epilepsy genotypes.