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Benign epileptiform variants in EEG: A comprehensive study of 3000 patients.
A, Sangeeth T; Asranna, Ajay; Kenchaiah, Raghavandra; Mundlamuri, Ravindranadh C; Lg, Viswanathan; Sinha, Sanjib.
Afiliación
  • A ST; Departments of Neurology, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, Karnataka, India.
  • Asranna A; Departments of Neurology, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, Karnataka, India.
  • Kenchaiah R; Departments of Neurology, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, Karnataka, India.
  • Mundlamuri RC; Departments of Neurology, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, Karnataka, India.
  • Lg V; Departments of Neurology, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, Karnataka, India.
  • Sinha S; Departments of Neurology, National Institute of Mental Health and Neurosciences, Hosur Road, Bangalore, Karnataka, India.
Seizure ; 120: 157-164, 2024 Aug.
Article en En | MEDLINE | ID: mdl-39003934
ABSTRACT

BACKGROUND:

The analysis of EEG demands expertise and keen observation to distinguish epileptiform discharges from benign epileptiform variants (BEVs), a frequent source of erroneous interpretation. The prevalence of BEVs varies based on geographical, racial, and ethnic characteristics. However, most data on BEVs originates from Western populations, and additional studies on different cohorts would enrich the existing literature.

METHODS:

We reviewed EEGs from our institutional database to study the prevalence of benign epileptiform variants and analyzed their frequency, topography, and other characteristics. Additionally, we investigated the co-existence of epileptiform discharges with BEVs.

RESULTS:

We identified 296 patients with BEVs after reviewing 3000 EEGs (9.9%). The most common BEV was small sharp spikes (SSS), observed in 114 patients (3.8%). Wicket waves, 6 Hz spike and slow wave, 14 and 6 Hz positive bursts, and Rhythmic Temporal Theta of Drowsiness (RTTD) were identified in 67 (2.2%), 40 (1.3%), 39 (1.3%), and 35 (1.16%) patients, respectively and one patient with Subclinical Rhythmic EEG Discharges in Adults (SREDA). Additionally, we observed the co-existence of epileptiform discharges with BEVs, most commonly with SSS (27.8%).

CONCLUSIONS:

The present study is a large study with 3000 EEGs to describe the BEV characteristics. BEVs were seen in 9.9% of patients, BSSS being the most common. There were minor differences in frequency, gender or age distribution compared to existing literature. We demonstrated the co-existence of epileptiform discharges. Morphological characteristics remain the cornerstone in recognising BEVs. EEG readers need to be aware of features of BEVs to avoid wrongly interpretation.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Electroencefalografía / Epilepsia Límite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Idioma: En Revista: Seizure Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Electroencefalografía / Epilepsia Límite: Adolescent / Adult / Aged / Child / Child, preschool / Female / Humans / Infant / Male / Middle aged Idioma: En Revista: Seizure Asunto de la revista: NEUROLOGIA Año: 2024 Tipo del documento: Article País de afiliación: India Pais de publicación: Reino Unido