Kovrov G V, Merkulova T B, Posokhov S I, Garakh Zh V
I. M. Sechenov First Moscow State Medical University, Ministry of Health of the Russian Federation, Moscow, Russia.
Institute of Higher Nervous Activity and Neurophysiology, Russian Academy of Sciences, Moscow, Russia.
Bull Exp Biol Med. 2018 Jun;165(2):177-180. doi: 10.1007/s10517-018-4124-8. Epub 2018 Jun 19.
Changes in the frequency characteristics of EEG alpha rhythm in during falling asleep were studied in three healthy individuals under conditions of long-term isolation (MARS-500 project). Falling asleep was preceded by enhanced alpha rhythm frequency. An inverse correlation between the duration of falling asleep and prevailing alpha rhythm frequency during active and relaxed wakefulness was revealed in the left hemisphere. These results demonstrate the principal possibility of predicting the duration of falling asleep by using alpha rhythm spectral analysis. It is assumed that the frequency of the alpha range spectral peak can be a marker of drowsiness and reflect the current need for sleep.
在长期隔离条件下(火星-500项目),对三名健康个体入睡过程中脑电图α节律的频率特征变化进行了研究。入睡之前α节律频率增强。在左半球,入睡持续时间与清醒活跃和放松状态下的主要α节律频率之间存在负相关。这些结果表明,利用α节律频谱分析预测入睡持续时间具有主要可能性。据推测,α频段频谱峰值的频率可能是嗜睡的一个标志,并反映当前的睡眠需求。