Lennox-Gastaut syndrome in adulthood: Clinical and EEG features

Edoardo Ferlazzo, Marina Nikaronova, Domenico Italiano, Michelle Bureau, Charlotte Dravet, Tiziana Calarese, Danielle Viallat, Margarethe Kölmel, Placido Bramanti, Lorenzo De Santi, Pierre Genton

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: We performed a retrospective study to investigate seizure, EEG, social and cognitive outcome in adult LGS subjects. Methods: We retrospectively evaluated 27 LGS patients aged 40-59 years. We assessed in particular the evolution of different seizure types and EEG findings, as well as cognitive and social outcome. Results: During the early stages of the disease, all patients presented tonic seizures (TS) during wakefulness and sleep, 20/27 had atypical absences (AA), more rarely other seizure types. EEG showed slow background activity in 21/27 patients, diffuse slow spike-wave discharges (DSSW) during wakefulness in 22/27, and bursts of diffuse fast rhythms (DFR) in sleep in all patients. At last observation, 11 patients only had TS during wakefulness, but all still presented TS during sleep; AA persisted in 6 patients. EEG showed normal BA in 12/27 patients; only 7/27 still presented DSSW. On the contrary, sleep EEG showed the persistence of DFR in all. A moderate to severe cognitive impairment was observed in 26/27 patients. Conclusions: In adult LGS patients TS during sleep remain the major seizure type; moreover, a standard waking EEG may be normal. Thus, polysomnography represents the most important mean of investigation also in adult LGS patients.

Original languageEnglish
Pages (from-to)271-277
Number of pages7
JournalEpilepsy Research
Volume89
Issue number2-3
DOIs
Publication statusPublished - May 2010

Keywords

  • Adults
  • EEG
  • Lennox-Gastaut syndrome
  • Seizures

ASJC Scopus subject areas

  • Clinical Neurology
  • Neurology

Fingerprint

Dive into the research topics of 'Lennox-Gastaut syndrome in adulthood: Clinical and EEG features'. Together they form a unique fingerprint.

Cite this