Department of Neurology, Inselspital, Bern University Hospital, University Bern, Switzerland.
Clin Neurophysiol. 2011 Oct;122(10):2025-31. doi: 10.1016/j.clinph.2011.03.003. Epub 2011 Apr 6.
To investigate whether there are any objective EEG characteristics that change significantly between specific time periods during maintenance of wakefulness test (MWT) and whether such changes are associated with the ability to appropriately communicate sleepiness.
After a night of total sleep deprivation, 12 healthy young subjects underwent a MWT whilst being instructed to communicate the experience of subjective sleepiness by pressing a button. EEG analysis consisted of average relative power and correlation between EEG signals.
A comparison of the 30 s before microsleep (MS) with 30 s before subjects communicated experience of sleepiness (PB) showed increased β correlation as well as increased power in the β band (13-20 Hz) whereas power in the θ (4.5-7.5 Hz) and α (8-12.5 Hz) band was significantly decreased. When subjects later failed to communicate the experience of subjective sleepiness before (micro-)sleep occurred, average relative power and EEG correlation were significantly higher during 30 s following lights off in the δ (1-4 Hz) band and power in the α and β bands was decreased.
EEG spectral power and correlation change significantly in specific frequency bands between different time periods of MWT. Failure to communicate sleepiness is associated with certain precursors of EEG power and correlation.
This study demonstrates that there are specific EEG characteristics associated with impending failure to communicate sleepiness.
探究在维持清醒试验(MWT)的特定时间段内,是否存在明显变化的客观脑电图特征,以及这些变化是否与适当传达困倦能力相关。
在一夜完全睡眠剥夺后,12 名健康年轻受试者在被指示通过按下按钮来传达主观困倦体验的情况下进行 MWT。脑电图分析包括平均相对功率和脑电图信号之间的相关性。
与受试者传达困倦体验之前的 30 秒(PB)相比,在微睡眠(MS)之前的 30 秒进行比较,β 相关增加,β 频段(13-20 Hz)的功率增加,而θ(4.5-7.5 Hz)和α(8-12.5 Hz)频段的功率显著降低。当受试者随后未能在微睡眠发生之前传达主观困倦体验时,在灯光关闭后的 30 秒内,δ(1-4 Hz)频段的平均相对功率和脑电图相关性显著升高,α 和 β 频段的功率降低。
脑电图频谱功率和相关性在 MWT 的不同时间段内特定频段显著变化。无法传达困倦与特定的脑电图功率和相关性的前兆相关。
本研究表明,存在与即将无法传达困倦相关的特定脑电图特征。