TY - JOUR
T1 - A standardized nomenclature for spectrogram EEG patterns
T2 - Inter-rater agreement and correspondence with common intensive care unit EEG patterns
AU - Zafar, Sahar F.
AU - Amorim, Edilberto
AU - Williamsom, Craig A.
AU - Jing, Jin
AU - Gilmore, Emily J.
AU - Haider, Hiba A.
AU - Swisher, Christa
AU - Struck, Aaron
AU - Rosenthal, Eric S.
AU - Ng, Marcus
AU - Schmitt, Sarah
AU - Lee, Jong W.
AU - Brandon Westover, M.
N1 - Publisher Copyright:
© 2020 International Federation of Clinical Neurophysiology
PY - 2020/9
Y1 - 2020/9
N2 - Objective: To 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. Methods: We 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. Results: Solid 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). Conclusions: This EEG spectrogram nomenclature has high IRA among electroencephalographers. Significance: The 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.
AB - Objective: To 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. Methods: We 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. Results: Solid 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). Conclusions: This EEG spectrogram nomenclature has high IRA among electroencephalographers. Significance: The 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.
KW - Continuous EEG monitoring
KW - IIC patterns
KW - Inter-rater agreement
KW - Quantitative EEG nomenclature
KW - Seizures
KW - Spectrograms
UR - https://www.scopus.com/pages/publications/85087750360
U2 - 10.1016/j.clinph.2020.05.032
DO - 10.1016/j.clinph.2020.05.032
M3 - Article
C2 - 32660817
AN - SCOPUS:85087750360
SN - 1388-2457
VL - 131
SP - 2298
EP - 2306
JO - Clinical Neurophysiology
JF - Clinical Neurophysiology
IS - 9
ER -