Cited by 43Epilepsy research and treatmentNeurological disorders and treatmentsSleep and related disorders

Seizure duration and latency of hypermotor manifestations distinguish frontal from extrafrontal onset in sleep‐related hypermotor epilepsy

Gibbs, Steve A., Proserpio, Paola, Francione, Stefano, Mai, Roberto, Cossu, Massimo, Tassi, Laura, Nobili, Lino·2018·Epilepsia

Abstract

Summary: Sleep‐related hypermotor epilepsy ( SHE ) is an epilepsy syndrome that is characterized by the occurrence of sleep‐related hypermotor seizures of variable complexity and duration. Seizures usually arise in the frontal lobe, but extrafrontal seizure onset zones are well described. To identify clinically relevant ictal features of SHE that could distinguish a frontal from an extrafrontal onset zone, we conducted a retrospective analysis of seizure characteristics in 58 patients with drug‐resistant SHE (43 frontal and 15 extrafrontal) who underwent video‐stereo‐electroencephalographic recordings and became seizure‐free after epilepsy surgery. We found that the mean duration of electrographic seizures and clinically observable ictal manifestations were significantly shorter in frontal SHE compared to extrafrontal SHE . The mean latency between electrographic seizure onset and the onset of hypermotor manifestations was also shorter in frontal SHE . Accordingly, a latency > 5 seconds between the first video‐detectable movement (eg, eye opening or a minor motor event) and the onset of hypermotor manifestations yielded a sensitivity of 75% and a specificity of 90% for an extrafrontal onset, thereby indicating that specific ictal features in SHE can provide clinically useful clues to increase diagnostic accuracy in this syndrome.

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Crossref · 10.1111/epi.14517

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  • Seizure monitoring, compared to many other clinical applications, requires a high temporal resolution, as seizures can be as short as a few seconds.

    “Seizure monitoring, compared to many other clinical applications, requires a high temporal resolution, as seizures can be as short as a few seconds17–19”

    From Data quality evaluation in wearable monitoring (2022) · cites this paper as [18]

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Authors
Gibbs, S. A., Proserpio, P., Francione, S., Mai, R., Cossu, M., Tassi, L., & Nobili, L.
Affiliations
  • Azienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda (IT)
  • Istituto Giannina Gaslini (IT)
Corresponding author
Nobili, Lino
Venue
Epilepsia
Publisher
Wiley
Published
2018-07-15
Volume
59
Issue
9
Pages
e130-e134
ISSN
  • 0013-9580 (ISSN-L)
  • 1528-1167
OpenAlex
W2884856287
Cited by
43
References
12
Citations by year
2026: 5 · 2025: 5 · 2024: 4 · 2023: 2 · 2022: 7 · 2021: 8 · 2020: 8 · 2019: 3 · 2018: 1
FWCI
3.93
Type
journal article
Language
en
Open access
closed
Locations
  • Epilepsia (publishedVersion)
  • PubMed (publishedVersion)
  • CINECA IRIS Institutial Research Information System (University of Genoa) (submittedVersion)
Funders
  • Fonds de Recherche du Québec - Santé (28178)
  • Savoy Foundation (2017‐2018)
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Epilepsy research and treatment
  • Health Sciences › Medicine › Neurology › Neurological disorders and treatments
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Sleep and related disorders
Keywords
sleep-related hypermotor epilepsy, seizure onset zone, frontal lobe epilepsy, seizure duration, seizure latency, drug-resistant epilepsy, epilepsy surgery, diagnostic accuracy
MeSH terms
Epileptic Syndromes, Adolescent, Adult, Brain, Child, Child, Preschool, Electroencephalography, Female, Humans, Longitudinal Studies, Magnetic Resonance Imaging, Male, Middle Aged, Movement, Retrospective Studies, Seizures, Time Factors, Video Recording, Statistics, Nonparametric, Young Adult

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