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EEG Patterns Predicting Clobazam Response in Refractory Status Epilepticus in Adults Cover

Authors

Arichena Manmatharayan

hj5216@wayne.edu

Department of Neurology, Wayne State University, Detroit, USA

Rene Andrade-Machado

Department of Neurology, Medical College of Wisconsin, Milwaukee, USA

Rohit Marawar

Department of Neurology, Wayne State University, Detroit, USA

Paul Lee

Department of Neurology, Wayne State University, Detroit, USA

Abdalhamid Lagnf

Department of Neurology, Wayne State University, Detroit, USA

Hassan Souidan

Department of Neurology, Wayne State University, Detroit, USA

Taha Ataya

Department of Neurology, Wayne State University, Detroit, USA

Farah Abdelhak

Department of Neurology, Wayne State University, Detroit, USA

Rohan Thomas

Department of Neurology, Wayne State University, Detroit, USA

Rami Fakhouri

Department of Neurology, Wayne State University, Detroit, USA

Younes Motii

Department of Neurology, Wayne State University, Detroit, USA

Sarah Rehman

Department of Neurology, Wayne State University, Detroit, USA

Margerie Durban

Department of Neurology, Wayne State University, Detroit, USA

Dennis Parker

Department of Neurology, Wayne State University, Detroit, USA

Wazim Mohamed

Department of Neurology, Wayne State University, Detroit, USA

Mona Elsayed

Department of Neurology, Wayne State University, Detroit, USA
DOI: https://doi.org/10.2478/joepi-2024-0002 | Journal eISSN: 2299-9728 | Journal ISSN: 2300-0147
Language: English
Page range: 9 - 12
Submitted on: May 7, 2024
Accepted on: Jun 24, 2024
Published on: Jul 20, 2024
Published by: The Foundation of Epileptology
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year

© 2024 Arichena Manmatharayan, Rene Andrade-Machado, Rohit Marawar, Paul Lee, Abdalhamid Lagnf, Hassan Souidan, Taha Ataya, Farah Abdelhak, Rohan Thomas, Rami Fakhouri, Younes Motii, Sarah Rehman, Margerie Durban, Dennis Parker, Wazim Mohamed, Mona Elsayed, published by The Foundation of Epileptology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.