Burst-Suppression EEG in Early Infantile Developmental and Epileptic Encephalopathies: Phenotype, Genotype, and

Florence Riccardi1,2, Béatrice Desnous3, Emilie Borloz1

  • 1Aix-Marseille Univ, MMG, Inserm, Marseille, France.

Neurology
|May 26, 2026
PubMed

Insights

Early burst-suppression EEG (EIDEE-BS) in infants is often caused by genetic variants, with KCNQ2 and STXBP1 being most common. EEG patterns can predict genotype, guiding targeted therapies for severe epilepsy.

Area of Science:

  • Genetics
  • Neurology
  • Epileptology

Background:

  • Developmental and epileptic encephalopathies (DEEs) with early burst-suppression EEG (EIDEE-BS) represent severe neonatal epilepsy syndromes.
  • These conditions are characterized by refractory seizures and significant neurodevelopmental impairment.
  • While KCNQ2, STXBP1, and SCN2A variants are known causes, the complete genetic landscape remains incompletely understood.

Purpose of the Study:

  • To investigate the electroclinical features, genetic causes, and long-term outcomes in a large cohort of patients with MRI-negative EIDEE-BS.
  • To identify novel genetic associations and delineate genotype-specific characteristics.

Main Methods:

  • Retrospective analysis of 110 patients with burst-suppression EEG from a larger cohort of individuals with suspected genetic epilepsies.
  • Systematic collection of clinical, EEG, and genetic data.
  • Independent EEG review and long-term outcome assessment.

Main Results:

  • Genetic variants were identified in 62.7% of patients across 23 genes.
  • KCNQ2 and STXBP1 variants were the most frequent, accounting for one-third of diagnoses.
  • Early EEG features, such as burst-suppression timing and morphology, correlated with specific genotypes (KCNQ2, STXBP1).
  • High mortality (25%) and persistent seizures (72.5%) with profound intellectual disability were observed, largely independent of genotype.

Conclusions:

  • EIDEE-BS has a strong monogenic basis, with KCNQ2, STXBP1, and SCN2A being key genes.
  • Early EEG characteristics can predict the underlying genotype, aiding in precision therapy selection.
  • Comprehensive genomic testing is crucial for diagnosis, counseling, and advancing understanding of these severe epilepsy syndromes.
Abstract

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