Electroencephalographic patterns during sleep in children with chromosome 15q11.2-13.1 duplications (Dup15q)

Dimitrios Arkilo, Orrin Devinsky, Basanagoud Mudigoudar, Susana Boronat, Melanie Jennesson, Kenneth Sassower, Okeanis Eleni Vaou, Jason T. Lerner, Shafali Spurling Jeste, Kadi Luchsinger, Ronald Thibert

Research output: Contribution to journalArticlepeer-review

11 Scopus citations


Our objective was to define the EEG features during sleep of children with neurodevelopmental disorders due to copy number gains of 15q11-q13 (Dup15q). We retrospectively reviewed continuous EEG recordings of 42 children with Dup15q (mean age: eight years, 32 with idic15), and data collected included background activity, interictal epileptiform discharges, sleep organization, and ictal activity. Three patterns were recognized:. Pattern 1: Alpha-delta sleep was noted in 14 children (33%), not associated with any clinical changes.Pattern 2: Electrical status epilepticus in sleep was noted in 15 children (35%), all diagnosed with treatment-resistant epilepsy. Thirteen of the 15 children had clinical seizures.Pattern 3: Frequent bursts of high amplitude bifrontal predominant, paroxysmal fast activity (12-15 Hz) during non-REM sleep was noted in 15 children (35%). All 15 children had treatment-resistant epilepsy.This is the first report of electroencephalographic patterns during sleep of children with Dup15q reporting alpha-delta rhythms, CSWS, and high amplitude fast frequencies. Alpha-delta rhythms are described in children with dysautonomia and/or mood disorders and CSWS in children with developmental regression. The significance of these findings in cognitive function and epilepsy for the children in our cohort needs to be determined with follow-up studies.

Original languageEnglish (US)
Pages (from-to)133-136
Number of pages4
JournalEpilepsy and Behavior
StatePublished - Apr 1 2016
Externally publishedYes


  • Children
  • Dup15q syndrome
  • EEG patterns
  • Sleep

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Behavioral Neuroscience


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