The Ritchie Centre, Monash Institute of Medical Research, Monash University, Level 5, Monash Medical Centre, 246 Clayton Rd, Clayton, Melbourne, Victoria, Australia.
Sleep Breath. 2012 Jun;16(2):491-7. doi: 10.1007/s11325-011-0530-0. Epub 2011 May 13.
This study compared electroencephalogram (EEG) spectral analysis with standard visual scoring to assess the validity of clinical classification of arousals at respiratory event termination in children with obstructive sleep apnoea (OSA).
Twenty children (six M/14 F) aged 7-12 years, diagnosed with moderate to severe OSA participated in this study. Overnight polysomnography was performed, and sleep stages and arousals visually scored using clinical paediatric measures. The EEG was spectrally analysed in six 5-s epochs across respiratory events, namely two consecutive 5-s epochs pre-event onset and a 5s epoch post-event onset, 5-s before event termination, and two contiguous 5-s epochs post-event termination. EEG spectral power distribution was compared across respiratory events visually categorised as full cortical arousals, subcortical activations, or non-arousals using specialised software (Sleep Research System 5.0).
There was no difference in power spectra between events in REM and NREM sleep and these were combined. There was a statistically significant fall from pre-arousal baseline values in delta and theta spectral power at respiratory event terminations associated with cortical arousals only. No change in power was detected at respiratory event terminations associated with subcortical activations or non-arousals.
The lack of significant EEG spectral power changes at respiratory event terminations not associated with visually identified cortical arousals indicates undetected micro-arousals are not present. The results support the validity of clinical classifications of arousals at respiratory event termination.
本研究通过脑电图(EEG)频谱分析与标准视觉评分比较,评估阻塞性睡眠呼吸暂停(OSA)儿童呼吸事件终止时觉醒的临床分类的有效性。
本研究纳入 20 名 7-12 岁的中重度 OSA 患儿。进行了整夜多导睡眠图检查,并使用临床儿科措施进行睡眠分期和觉醒的视觉评分。在呼吸事件中,对 EEG 进行了六个 5 秒的谱分析,即事件发生前连续两个 5 秒的时期和事件发生后 5 秒的时期,在事件结束前 5 秒和事件结束后两个连续的 5 秒时期。使用专门的软件(睡眠研究系统 5.0),对视觉分类为全皮质觉醒、皮质下激活或非觉醒的呼吸事件进行 EEG 频谱功率分布比较。
在 REM 和 NREM 睡眠期间的事件之间,功率谱没有差异,因此将它们合并。与皮质觉醒相关的呼吸事件终止时,δ和θ频谱功率从觉醒前基线值显著下降。与皮质下激活或非觉醒相关的呼吸事件终止时,未检测到功率变化。
与视觉识别的皮质觉醒无关的呼吸事件终止时 EEG 频谱功率无明显变化表明,不存在未检测到的微觉醒。这些结果支持呼吸事件终止时觉醒的临床分类的有效性。