Methods for calculating EEG-based epileptiform activity index
https://doi.org/10.17749/2077-8333/epi.par.con.2024.203
Abstract
Electroencephalography (EEG) is mainly used for epilepsy diagnostics in modern clinical practice. Epileptiform activity index (EAI) is recognized as one of the essential quantitative parameters for assessing the presence of epileptiform activity by using EEG. However, depending on EAI calculation method, the result may vary dramatically. In this regard, the term “epileptiform activity index” per se is not defined very clearly and remains unambiguous. Different manufacturers of EEG equipment like different medical specialists may put different meanings into this concept and understand it differently. The article discusses possible EAI calculation methods for EEG and clarifies the understanding of this term.
About the Author
A. A. IvanovRussian Federation
Alexey A. Ivanov.
5 Voronin Str., Ivanovo, 153032
References
1. Karlov V.A., Ayvazyan S.O. Epilepsy in terms, visual and EEG patterns. Мoscow: Nevromed-Klinika; 2020: 71 pp. (in Russ.).
2. Darbinyan V.Zh. Epilepsy and paroxysmal conditions: clinic, diagnosis, treatment. Мoscow: MEDpress-inform; 2016: 258 pp. (in Russ.).
3. Zenkov L.R. Clinical encephalography (with elements of epileptology). 8th ed. Мoscow: MEDpress-inform; 2017: 360 pp. (in Russ.).
4. Zenkov L.R. Nonparoxysmal epileptic disorders. 4th ed. Мoscow: MEDpress-inform; 2020: 280 pp. (in Russ.).
5. Aleksandrov M.V. (Ed.) Electroencephalography. Saint Petersburg: SpetsLit; 2020: 224 pp. (in Russ.).
6. Ivanov А.А. Description of technical characteristics for EEG equipment and their comparison for electroencephalographs available in Russia. Epilepsia i paroksizmal'nye sostoania / Epilepsy and Paroxysmal Conditions. 2023; 15 (4): 384–392 (in Russ.). https://doi.org/10.17749/2077-8333/epi.par.con.203.170.
7. Guidelines for carrying out of routine EEG of Neurophysiology Expert Board of Russian League Against Epilepsy. Epilepsia i paroksizmal'nye sostoania / Epilepsy and Paroxysmal Conditions. 2016; 8 (4): 99–108 (in Russ.).
8. Mukhin K.Yu., Mironov M.B. The clinical and electroencephalographic characteristics and treatment of epileptic syndromes associated with tonic seizures. Russian Journal of Child Neurology. 2014; 9 (3): 13–22 (in Russ.).
9. Bobylova M.Yu., Nekrasova I.V., Ilyina Ye.S., Kvaskova N.V. Myoclonus in children: definitions and classifications, differential diagnosis, approaches to therapy (a lecture). Russian Journal of Child Neurology. 2014; 9 (2): 32–41 (in Russ.).
10. Blinov D.V. Epilepsy syndromes: the 2022 ILAE definition and classification. Epilepsia i paroksizmal'nye sostoania / Epilepsy and Paroxysmal Conditions. 2022; 14 (2): 101–82 (in Russ.). https://doi.org/10.17749/2077-8333/epi.par.con.2022.123.
11. Ivanov A.A. Overview of current software capabilities for EEG recording and analyzing. Epilepsia i paroksizmal'nye sostoania / Epilepsy and Paroxysmal Conditions. 2023; 15 (1): 53–69 (in Russ.). https://doi.org/10.17749/2077-8333/epi.par.con.2023.144.
12. Ivanov А.А. Overview of mathematical EEG analysis. Quantitative EEG. Epilepsia i paroksizmal'nye sostoania / Epilepsy and Paroxysmal Conditions. 2023; 15 (2): 171–92 (in Russ.). https://doi.org/10.17749/2077-8333/epi.par.con.2023.154.
13. Kulaichev A.P. Computer electrophysiology and functional diagnostics. 4th ed. Moscow: Forum; 2007: 639 pp. (in Russ.).
14. Ivanov A.A. The structure of modern EEG recorder. Epilepsia i paroksizmal'nye sostoania / Epilepsy and Paroxysmal Conditions. 2022; 14 (4): 362–78 (in Russ.). https://doi.org/10.17749/2077-8333/epi.par.con.2022.138.
15. Mironov M.B., Abramov M.O., Kondratenko V.V., et al. Artificial intelligence applied for the diagnosis of absence epilepsy with simultaneously tested patient’s consciousness level in ictal event. Epilepsia i paroksizmal'nye sostoania / Epilepsy and Paroxysmal Conditions. 2024; 16 (1): 8–17 (in Russ.). https://doi.org/10.17749/2077-8333/epi.par.con.2024.178.
16. Sinkin M.V., Baranova E.A. (Eds.) Electroencephalography in patients of intensive care units. Methodology of description and clinical examples. Moscow: Atmosfera; 2022: 88 pp. (in Russ.).
Review
For citations:
Ivanov A.A. Methods for calculating EEG-based epileptiform activity index. Epilepsy and paroxysmal conditions. 2024;16(4):402-408. (In Russ.) https://doi.org/10.17749/2077-8333/epi.par.con.2024.203

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