Decrypting Epilepsy: The Deciphering Role of Electroencephalography

Introduction:Epilepsy is a debilitating neurological disorder characterized by recurrent seizures.It affects approximately 1% of the global population and is an important issue that needs to be tackled.The diagnosis and management of epilepsy remains challenging due to the complexity of seizure patterns and the variability of electroencephalographic (EEG) recordings.EEG is a non-invasive neuroimaging technique that has been instrumental in understanding epilepsy pathophysiology and identifying biomarkers for seizure prediction and diagnosis.Materials and Methods: This study explores the crucial role of EEG in epilepsy research, focusing on its applications in seizure detection, source localization, and neurophysiological characterization.Results: We investigate the EEG-based approaches to differentiate epilepsy subtypes, predict seizure onset, and monitor treatment responses.Conclusion: Our findings underscore the potential of EEG-based biomarkers in improving epilepsy diagnosis, treatment outcomes, and quality of life for patients.

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Publication Details

Journal
The Neuroscience Journal of Shefaye Khatam
Published
2024-11-01
DOI
https://doi.org/10.61186/shefa.12.4.s1.9
Citations
1
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.34
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article

Decrypting Epilepsy: The Deciphering Role of Electroencephalography

Farid Samifar, Soheil Samifar
1 citations
The Neuroscience Journal of Shefaye Khatam
EEG and Brain-Computer Interfaces
0.34
article

Decrypting Epilepsy: The Deciphering Role of Electroencephalography

Farid Samifar, Soheil Samifar
article en
1 citations

Abstract

Introduction:Epilepsy is a debilitating neurological disorder characterized by recurrent seizures.It affects approximately 1% of the global population and is an important issue that needs to be tackled.The diagnosis and management of epilepsy remains challenging due to the complexity of seizure patterns and the variability of electroencephalographic (EEG) recordings.EEG is a non-invasive neuroimaging technique that has been instrumental in understanding epilepsy pathophysiology and identifying biomarkers for seizure prediction and diagnosis.Materials and Methods: This study explores the crucial role of EEG in epilepsy research, focusing on its applications in seizure detection, source localization, and neurophysiological characterization.Results: We investigate the EEG-based approaches to differentiate epilepsy subtypes, predict seizure onset, and monitor treatment responses.Conclusion: Our findings underscore the potential of EEG-based biomarkers in improving epilepsy diagnosis, treatment outcomes, and quality of life for patients.

The Neuroscience Journal of Shefaye KhatamVol. 12(4)
Mashhad University of Medical Sciences (IR), Allameh Tabataba'i University (IR)
Openalex Percentile: Top 37%
EEG and Brain-Computer Interfaces
0.34
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Decrypting Epilepsy: The Deciphering Role of Electroencephalography — Farid Samifar, Soheil Samifar · The Neuroscience Journal of Shefaye Khatam (2024) | TGRS Research Map | TGRS