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.

中文翻译：

---

频谱图 EEG 模式的标准化命名法：评估者间的一致性和与普通重症监护室 EEG 模式的对应关系

目的 确定 EEG 谱图模式标准化命名法的评估者间一致性 (IRA)，并估计发作间期连续体 (IIC) 模式与此命名法中每个类别中其他 EEG 模式的概率分布。方法我们定义了七个频谱图类别：“固体火焰”、“不规则火焰”、“宽带单调”、“窄带单调”、“条纹”、“低功率”和“伪影”。10 位脑电图技师对 115 幅频谱图和相应的原始脑电图样本进行了评分。Gwet 的一致性系数用于计算 IRA。结果实心火焰代表癫痫发作或 IIC 模式的概率为 69.4%。不规则火焰在 38.7% 的时间代表癫痫发作或 IIC 模式。宽带单调主要对应于癫痫发作或 IIC (54.3%)，窄带单调伴有局灶性或全身性减慢 (43.8%)。条纹与爆发抑制 (37.2%) 和广义抑制 (34.4%) 相关。低功率类别与广义抑制相关 (94%)。固体火焰 (κ = 94.36)、低功率 (κ = 92.61) 和伪影 (κ = 93.72) 具有“近乎完美”的一致性。所有其他类别都“基本一致”（κ = 74.65-79.49）。结论 这种 EEG 频谱图命名法在脑电图医师中具有较高的 IRA。意义 命名法可以成为脑电图筛查的有用工具。未来的研究需要确定使用这种命名法是否可以缩短 IIC 识别时间，以及如何在实践中最好地使用它来减少干预时间。