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Quantitative EEG analysis in Encephalopathy related to Status Epilepticus during slow Sleep

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  • Gaetano Cantalupo, University of Verona
  • ,
  • Elena Pavlidis, Danish Epilepsy Centre, Dianalund
  • ,
  • Sandor Beniczky
  • Pietro Avanzini, degli Studi di Parma
  • ,
  • Elena Gardella, University of Southern Denmark
  • ,
  • Pål G. Larsson, University of Oslo

Since its first description, quantifying the burden of epileptiform abnormalities in sleep EEG has played a fundamental role in the diagnosis of Encephalopathy related to Status Epilepticus during slow Sleep (ESES). In fact, in the 1971 seminal paper by Tassinari's group and in the following studies on this syndrome, the amount of epileptiform discharges (EDs) was calculated as the percentage of slow sleep occupied by spike-and-waves and referred to as "spike and wave index" (SWI). However, nowadays it is becoming increasingly clear that the SWI alone does not explain the whole clinical course of patients affected by ESES. In this paper, we aim to provide a state-of-the-art summary of the quantitative EEG methods currently used in the ESES/CSWS literature, highlighting the possible pitfalls and discrepancies explaining the unsatisfactory correlation between SWI and clinical course. Furthermore; we illustrate a number of methodological refinements - taking into account inter-individual, intra-individual, and temporal variability of EDs - alongside "new" quantitative variables -including ED-related and sleep-related features - potentially useful to reach a reliable electro-clinical correlation in patients with ESES.

Original languageEnglish
JournalEpileptic disorders : international epilepsy journal with videotape
Pages (from-to)31-40
Number of pages10
Publication statusPublished - 2019

    Research areas

  • CSWS, EEG, encephalopathy related to status epilepticus during slow sleep, ESES, HFOs, independent component analysis, LKS, quantitative analysis, sleep downscaling, spike index

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