Spikes might precede seizures and predict epilepsy in children with Sturge-Weber syndrome: A pilot study

Claire Bar1, Anna Kaminska2, Rima Nabbout3

  • 1Reference Centre for Rare Epilepsies, Department of Pediatric Neurology, Hôpital Necker-Enfants Malades, APHP, Paris, France.

Epilepsy Research
|April 21, 2018
PubMed

Insights

Focal spikes on electroencephalogram (EEG) may predict epilepsy in children with Sturge-Weber syndrome (SWS). Early EEG findings can help identify at-risk infants for closer monitoring and intervention.

Area of Science:

  • Neuroscience
  • Pediatrics
  • Genetics

Background:

  • Sturge-Weber syndrome (SWS) is a rare neurocutaneous disorder.
  • Epilepsy affects over 75% of children with SWS, with early-onset seizures indicating a poor neurological outcome.
  • Identifying predictive markers for epilepsy in SWS is crucial for early intervention.

Purpose of the Study:

  • To identify potential electroencephalogram (EEG) markers that predict epilepsy onset in children diagnosed with SWS.
  • To analyze EEG characteristics in SWS patients before the onset of seizures.

Main Methods:

  • Retrospective analysis of EEG data from children with SWS who underwent EEG prior to seizure onset.
  • Comparison of EEG findings between SWS patients who developed epilepsy and those who did not.
  • Minimum 3-year follow-up for patients who did not develop epilepsy.

Main Results:

  • Eleven children with SWS were included, with EEGs performed at a median age of 2.1 months.
  • Six children developed epilepsy, with seizure onset ranging from 2 days to 21 months post-EEG.
  • Asymmetric EEG background activity was observed in 8 patients (5 with subsequent epilepsy).
  • Focal interictal spikes were exclusively found in patients who later developed epilepsy (4/6).

Conclusions:

  • Focal interictal spikes on EEG may serve as a valuable predictive marker for epilepsy in SWS patients.
  • Further validation in larger, prospective studies is recommended to confirm the predictive value of EEG findings.
Abstract

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