Interpretable EEG biomarkers for neurological disease models in mice using bag-of-waves classifiers
The methodologies and results show the potential of EEG waveforms as interpretable phenotypes and bag-of-waves as a feature representation for identifying epilepsy genotypes.
Authors
- Montana Kay Lara (ORCID: https://orcid.org/0000-0001-5810-4425)
- Austin Meek
- Benjamin Wilson (ORCID: https://orcid.org/0000-0003-2043-7771)
- Amanda E. Hernan (ORCID: https://orcid.org/0000-0003-4931-3481)
- Khalil Abed Rabbo
- Maria Isabel Cano Achuri
- Austin Jay Brockmeier
- J Matthew Mahoney
Institutions
- University of Vermont (US)
- Alfred I. duPont Hospital for Children (US)
- Community Health Systems - Dupont Hospital (US)
- University of California San Diego (US)
- Nemours Children's Health System (US)
- Jackson Laboratory (US)
- University of Delaware (US)
Publication Details
- Journal
- Journal of Neural Engineering
- Published
- 2026-03-04
- DOI
- https://doi.org/10.1088/1741-2552/ae4d8c
- Primary Topic
- Epilepsy research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00