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Assessment of Human Sleep Depth Is Being De-Standardized by Recently Advised EEG Electrode Locations

机译:最近建议的EEG电极位置正在取消对人体睡眠深度的评估

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摘要

Human sleep depth was traditionally assessed by scoring electro-encephalographic slow-wave amplitudes at the globally standardized C4-M1 electrode derivation. Since 2007, the American Association of Sleep Medicine (AASM) has accepted three additional derivations for the same purpose. These might well differ in slow wave amplitudes which would bias the scorings. Some derivations might also introduce large inter-individual variability. We compared mean and variability of slow wave amplitudes between six derivations including the four AASM ones. Slow wave amplitudes in those derivations were simultaneously measured using automated analysis in 29 patients. Each amplitude was divided by the average from the six derivations, thus removing shared factors such as age, gender and sleep depth while retaining factors that differ between the derivations such as caused by local skull characteristics, electrode distance and neuronal dipole orientation. The remaining inter-individual variability differed significantly and up to a factor of two between the AASM derivations. The amplitudes differed significantly and up to 60% between the AASM derivations, causing substantial scoring bias between centres using different derivations. The resulting de-standardization most likely affects any patient group because the amplitude differences were consistent over diagnoses, genders, and age. Derivation-dependent amplitude thresholds were proposed to reduce the scoring bias. However, it would be better to settle on just one derivation, for instance Cz-Oz or Fpz-Cz because these have lowest variability while matching the traditional C4-M1 amplitudes.
机译:传统上,人类睡眠深度是通过在全球标准化的C4-M1电极推导中对脑电图慢波幅度进行评分来评估的。自2007年以来,美国睡眠医学协会(AASM)出于同一目的接受了另外三个推导。这些可能在慢波幅度上可能会有所不同,这会使得分产生偏差。某些推导可能还会引入较大的个体间差异。我们比较了包括四个AASM在内的六个导数之间慢波振幅的均值和变异性。使用自动分析方法同时测量了29例患者的这些推导中的慢波幅度。每个幅度均除以六个导数的平均值,从而去除了共享因素,例如年龄,性别和睡眠深度,同时保留了导数之间不同的因素,例如由局部颅骨特征,电极距离和神经元偶极子方位引起的。其余的个体间差异显着不同,AASM派生之间的差异最大为2。幅度差异很大,AASM导数之间的差异高达60%,从而导致使用不同导数的中心之间存在明显的评分偏差。所导致的取消标准化最有可能影响任何患者组,因为幅度差异在诊断,性别和年龄上是一致的。提出了依赖于导数的幅度阈值以减少评分偏差。但是,最好只采用一个导数,例如Cz-Oz或Fpz-Cz,因为它们具有最小的可变性,同时与传统的C4-M1幅度匹配。

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