ArticleEpilepsia2021
Prolonged epileptic discharges predict seizure recurrence in JME: Insights from prolonged ambulatory EEG.
Article in Epilepsia, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 20 citations in OpenAlex.
- Home-Based sensing of the nervous system with clinical neurophysiology technologies: IFCN handbook chapter.Clinical neurophysiology practice · 2025Review
- A comparison of comorbid headache between patients with temporal lobe epilepsy and juvenile myoclonic epilepsy.Scientific reports · 2023Article
- Routine EEG vs Ambulatory EEG for a First Seizure: Once Bitten, Twice Shy?Neurology. Clinical practice · 2023Article
- Spike count and morphology in the classification of epileptiform discharges.Frontiers in neurology · 2023Article
- EEG Markers of Treatment Resistance in Idiopathic Generalized Epilepsy: From Standard EEG Findings to Advanced Signal Analysis.Biomedicines · 2022Review
- Interictal epileptiform discharges as a predictive biomarker for recurrence of poststroke epilepsy.Brain communications · 2022Article
- Prediction of Seizure Recurrence. A Note of Caution.Frontiers in neurology · 2021Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveMarkers of seizure recurrence are needed to personalize antiseizure medication (ASM) therapy. In the clinical practice, EEG features are considered to be related to the risk of seizure recurrence for genetic generalized epilepsies (GGE). However, to our knowledge, there are no studies analyzing systematically specific EEG features as indices of ASM efficacy in GGE. In this study, we aimed at identifying EEG indicators of ASM responsiveness in Juvenile Myoclonic Epilepsy (JME), which, among GGE, is characterized by specific electroclinical features.
methodsWe compared the features of prolonged ambulatory EEG (paEEG, 22 h of recording) of JME patients experiencing seizure recurrence within a year ("cases") after EEG recording, with those of patients with sustained seizure freedom for at least 1 year after EEG ("controls"). We included only EEG recordings of patients who had maintained the same ASM regimen (dosage and type) throughout the whole time period from the EEG recording up to the outcome events (which was seizure recurrence for the "cases", or 1-year seizure freedom for "controls"). As predictors, we evaluated the total number, frequency, mean and maximum duration of epileptiform discharges (EDs) and spike density (i.e. total EDs duration/artifact-free EEG duration) recorded during the paEEG. The same indexes were assessed also in standard EEG (stEEG), including activation methods.
resultsBoth the maximum length and the mean duration of EDs recorded during paEEG significantly differed between cases and controls; when combined in a binary logistic regression model, the maximum length of EDs emerged as the only valid predictor. A cut-off of EDs duration of 2.68 seconds discriminated between cases and controls with a 100% specificity and a 93% sensitivity. The same indexes collected during stEEG lacked both specificity and sensitivity. SIGNIFICANCE: The occurrence of prolonged EDs in EEG recording might represent an indicator of antiepileptic drug failure in JME patients.
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