Department of Neurology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Graduate School for Health Sciences, University of Bern, Bern, Switzerland.
Sleep. 2020 Jan 13;43(1). doi: 10.1093/sleep/zsz163.
The wake-sleep transition zone represents a poorly defined borderland, containing, for example, microsleep episodes (MSEs), which are of potential relevance for diagnosis and may have consequences while driving. Yet, the scoring guidelines of the American Academy of Sleep Medicine (AASM) completely neglect it. We aimed to explore the borderland between wakefulness and sleep by developing the Bern continuous and high-resolution wake-sleep (BERN) criteria for visual scoring, focusing on MSEs visible in the electroencephalography (EEG), as opposed to purely behavior- or performance-defined MSEs.
Maintenance of Wakefulness Test (MWT) trials of 76 randomly selected patients were retrospectively scored according to both the AASM and the newly developed BERN scoring criteria. The visual scoring was compared with spectral analysis of the EEG. The quantitative EEG analysis enabled a reliable objectification of the visually scored MSEs. For less distinct episodes within the borderland, either ambiguous or no quantitative patterns were found.
As expected, the latency to the first MSE was significantly shorter in comparison to the sleep latency, defined according to the AASM criteria. In certain cases, a large difference between the two latencies was observed and a substantial number of MSEs occurred between the first MSE and sleep. Series of MSEs were more frequent in patients with shorter sleep latencies, while isolated MSEs were more frequent in patients who did not reach sleep.
The BERN criteria extend the AASM criteria and represent a valuable tool for in-depth analysis of the wake-sleep transition zone, particularly important in the MWT.
睡眠-觉醒过渡区是一个定义不明确的边界区域,包含微睡眠(MSE)等现象,这些现象对诊断具有潜在意义,并且在驾驶时可能会产生后果。然而,美国睡眠医学学会(AASM)的评分指南完全忽略了这一点。我们旨在通过开发用于视觉评分的伯尔尼连续和高分辨率睡眠-觉醒(BERN)标准来探索觉醒和睡眠之间的边界,该标准侧重于脑电图(EEG)中可见的 MSE,而不是仅基于行为或表现定义的 MSE。
回顾性地对 76 名随机选择的患者的维持觉醒试验(MWT)试验根据 AASM 和新开发的 BERN 评分标准进行评分。视觉评分与 EEG 的频谱分析进行比较。定量 EEG 分析使视觉评分的 MSE 能够可靠地客观化。对于边界内不太明显的发作,要么发现定量模式不明确,要么没有发现定量模式。
正如预期的那样,与根据 AASM 标准定义的睡眠潜伏期相比,第一次 MSE 的潜伏期明显缩短。在某些情况下,观察到两个潜伏期之间存在较大差异,并且在第一次 MSE 和睡眠之间发生了大量 MSE。在睡眠潜伏期较短的患者中,MSE 系列更为频繁,而在未达到睡眠的患者中,孤立的 MSE 更为频繁。
BERN 标准扩展了 AASM 标准,代表了深入分析睡眠-觉醒过渡区的有价值工具,在 MWT 中尤为重要。