Diagnosis of Electrographic Status Epilepticus by an Automated Seizure-burden Monitoring Algorithm and Its Association with Outcomes at Discharge (P12-7.007)
To characterize the association between electrographic status epilepticus (ESE), as diagnosed by an automated algorithm, and functional outcomes at discharge.
Authors
- Mariel Kalkach Aparicio (ORCID: https://orcid.org/0000-0002-3509-3548)
- Michael Brandon Westover (ORCID: https://orcid.org/0000-0003-4803-312X)
- Aaron F. Struck (ORCID: https://orcid.org/0000-0002-9103-1798)
- Justine Cormier
- Jorge Cespedes (ORCID: https://orcid.org/0000-0001-9826-7077)
- Masoom Desai (ORCID: https://orcid.org/0000-0002-6316-8404)
- Irfan Sheikh (ORCID: https://orcid.org/0000-0002-0779-6297)
- Kaileigh Gallagher (ORCID: https://orcid.org/0009-0005-2802-9790)
- Lawrence J. Hirsch (ORCID: https://orcid.org/0000-0002-6333-832X)
Institutions
- University of Wisconsin–Madison (US)
- University of New Mexico (US)
- University of South Dakota (US)
- Yale University (US)
- Massachusetts General Hospital (US)
- Southwestern Medical Center (US)
- The University of Texas Southwestern Medical Center (US)
Publication Details
- Journal
- Neurology
- Published
- 2025-04-07
- DOI
- https://doi.org/10.1212/wnl.0000000000211960
- Primary Topic
- EEG and Brain-Computer Interfaces
- Type
- article
- Field-Weighted Citation Impact
- 0.00