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A standardized nomenclature for spectrogram EEG patterns: Inter-rater agreement and correspondence with common intensive care unit EEG patterns
Affiliation:1. Department of Neurology, Massachusetts General Hospital/Harvard Medical School, Boston, MA, United States of America;2. Department of Neurology, University of Wisconsin-Madison, Madison, WI, United States of America;3. Department of Neurology, Henry Ford Hospital, Detroit, MI, United States of America;4. Department of Neurology, Yale University, New Haven, CT, United States of America
Abstract:ObjectiveTo determine the inter-rater agreement (IRA) of a standardized nomenclature for EEG spectrogram patterns, and to estimate the probability distribution of ictal-interictal continuum (IIC) patterns vs. other EEG patterns within each category in this nomenclature.MethodsWe defined seven spectrogram categories: “Solid Flames”, “Irregular Flames”, “Broadband-monotonous”, “Narrowband-monotonous”, “Stripes”, “Low power”, and “Artifact”. Ten electroencephalographers scored 115 spectrograms and the corresponding raw EEG samples. Gwet's agreement coefficient was used to calculate IRA.ResultsSolid Flames represented seizures or IIC patterns 69.4% of the time. Irregular Flames represented seizures or IIC patterns 38.7% of the time. Broadband-monotonous primarily corresponded with seizures or IIC (54.3%) and Narrowband-monotonous with focal or generalized slowing (43.8%). Stripes were associated with burst-suppression (37.2%) and generalized suppression (34.4%). Low Power category was associated with generalized suppression (94%). There was “near perfect” agreement for Solid Flames (κ = 94.36), Low power (κ = 92.61), and Artifact (κ = 93.72). There was “substantial agreement” for all other categories (κ = 74.65–79.49).ConclusionsThis EEG spectrogram nomenclature has high IRA among electroencephalographers.SignificanceThe nomenclature can be a useful tool for EEG screening. Future studies are needed to determine if using this nomenclature shortens time to IIC identification, and how best to use it in practice to reduce time to intervention.
Keywords:Continuous EEG monitoring  Quantitative EEG nomenclature  Spectrograms  Inter-rater agreement  Seizures  IIC patterns  ACNS"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0040"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  American Clinical Neurophysiology Society  cEEG"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0050"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  continuous EEG  GRDA"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0060"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  generalized rhythmic delta activity  GPDs"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0070"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  generalized periodic discharges  ICU"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0080"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  intensive care unit  IIC"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0090"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  ictal-interictal continuum  IRA"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0100"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Inter rater agreement  LPDs"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0110"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  lateralized periodic discharges  LRDA"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0120"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  lateralized rhythmic delta activity  MGH"  },{"  #name"  :"  keyword"  ,"  $"  :{"  id"  :"  k0130"  },"  $$"  :[{"  #name"  :"  text"  ,"  _"  :"  Massachusetts General Hospital
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