睡眠(系统调用)
刺激
阿尔法(金融)
听力学
眼球运动
闭环
快速眼动睡眠
脑电图
心理学
神经科学
物理
医学
发展心理学
计算机科学
心理测量学
结构效度
操作系统
控制工程
工程类
作者
Valeria Jaramillo,Henry Hebron,Sara Wong,Giuseppe Atzori,Ullrich Bartsch,Derk‐Jan Dijk,Inês R. Violante
出处
期刊:Sleep
[Oxford University Press]
日期:2024-08-29
卷期号:47 (12)
被引量:2
标识
DOI:10.1093/sleep/zsae193
摘要
Abstract Study Objectives Alpha and theta oscillations characterize the waking human electroencephalogram (EEG) and can be modulated by closed-loop auditory stimulation (CLAS). These oscillations also occur during rapid eye movement (REM) sleep, but their function here remains elusive. CLAS represents a promising tool to pinpoint how these brain oscillations contribute to brain function in humans. Here we investigate whether CLAS can modulate alpha and theta oscillations during REM sleep in a phase-dependent manner. Methods We recorded high-density EEG during an extended overnight sleep period in 18 healthy young adults. Auditory stimulation was delivered during both phasic and tonic REM sleep in alternating 6-second ON and 6-second OFF windows. During the ON windows, stimuli were phase-locked to four orthogonal phases of ongoing alpha or theta oscillations detected in a frontal electrode. Results The phases of ongoing alpha and theta oscillations were targeted with high accuracy during REM sleep. Alpha and theta CLAS induced phase-dependent changes in power and frequency at the target location. Frequency-specific effects were observed for alpha trough (speeding up) and rising (slowing down) and theta trough (speeding up) conditions. CLAS-induced phase-dependent changes were observed during both REM sleep substages, even though auditory evoked potentials were very much reduced in phasic compared to tonic REM sleep. Conclusions This study provides evidence that faster REM sleep rhythms can be modulated by CLAS in a phase-dependent manner. This offers a new approach to investigating how modulation of REM sleep oscillations affects the contribution of this vigilance state to brain function.
科研通智能强力驱动
Strongly Powered by AbleSci AI