Neural mass modeling reveals that hyperexcitability underpins slow‐wave sleep changes in children with epilepsy
These results demonstrate that brain mechanisms relating to epilepsy manifest in the interictal EEG in slow-wave sleep, and that EEG recorded from patients can be mapped to synaptic deficits that may explain their predisposition to seizures. Neural mass models inferred from sleep EEG data have the potential to generate new biomarkers to predict seizure occurrence and inform treatment decisions.
Authors
- Samantha Chan (ORCID: https://orcid.org/0000-0003-0488-1207)
- Marc Goodfellow (ORCID: https://orcid.org/0000-0002-7282-7280)
- Dominic M Dunstan (ORCID: https://orcid.org/0000-0003-1973-1404)
Institutions
- St George's, University of London (GB)
- University of Exeter (GB)
- Great Ormond Street Hospital (GB)
- St George's Hospital (GB)
- University College London (GB)
Publication Details
- Journal
- Epilepsia
- Published
- 2025-02-07
- DOI
- https://doi.org/10.1111/epi.18293
- Citations
- 2
- Primary Topic
- Sleep and Wakefulness Research
- Type
- article
- Field-Weighted Citation Impact
- 2.86
Funders
- St George's University Hospitals NHS Foundation Trust
- Engineering and Physical Sciences Research Council