论文标题
可穿戴的脑电图系统,用于高频睡眠相关振荡的闭环神经调节
A Wearable EEG System for Closed-Loop Neuromodulation of High-Frequency Sleep-Related Oscillations
论文作者
论文摘要
在健康的睡眠者中,从觉醒到睡眠的过渡期间,存在皮质α振荡,并在睡眠开始时消散。对于失眠的个体,α力量在尾流过渡期间升高,并且可以在整个夜晚持续。使用相锁刺激的神经调节技术已被作为改善慢波睡眠质量的药物的替代方法。由于技术局限性,尚未对更快的频率α振荡进行测试。在这里,我们研究了实施的Hilbert Transform(ECHT)算法的端点校正版本的可行性,以测量α阶段并提供相锁的听觉刺激来调节α并促进睡眠起始。首先,ECHT算法是在桌面脑电图(EEG)设备上实现的,用于测量听觉诱发的响应的时机及其在α振荡的精确阶段的交付。其次,一项试验室内研究测试可行性,可使用可穿戴版的神经调节装置在alpha(8-12 Hz)频率范围内实时循环刺激。听觉刺激是在高精度的α的预期阶段传递的,并且在相反阶段传递的刺激对α振荡的影响不同。我们的可穿戴系统能够测量脑电图中存在适合临床睡眠评分的睡眠微型和宏观事件。对于在刺激条件下显示睡眠发作失眠症状的受试者的一部分,睡眠发作潜伏期减少了。这项研究证明了使用可穿戴的EEG设备对闭环跟踪和α振荡的神经调节的可行性。初步结果表明,这种方法可用于加速具有客观失眠症状的人的睡眠开始。
In healthy sleepers, cortical alpha oscillations are present during the transition from wakefulness to sleep, and dissipate at sleep onset. For individuals with insomnia, alpha power is elevated during the wake-sleep transition and can persist throughout the night. Neuromodulation techniques using phase-locked stimulation have been put forth as alternatives to drugs for improving slow-wave sleep quality. Due to technical limitations, this approach has not been tested on faster frequency alpha oscillations. Here we examine the feasibility of using an endpoint-corrected version of the Hilbert Transform (ecHT) algorithm implemented on-device to measure alpha phase and deliver phase-locked auditory stimulation to modulate alpha and promote sleep initiation. First, the ecHT algorithm is implemented on a tabletop electroencephalogram (EEG) device and used to measure the timing of the auditory evoked response and its delivery at precise phases of the alpha oscillation. Secondly, a pilot at-home study tests feasibility to use a wearable version of the neuromodulation device for real-time phase-locked stimulation in the alpha (8-12 Hz) frequency range. Auditory stimulation was delivered at the intended phases of alpha with high precision, and alpha oscillations were affected differently by stimuli delivered at opposing phases. Our wearable system was capable of measuring sleep micro- and macro-events present in the EEG that were appropriate for clinical sleep scoring. Sleep onset latencies were reduced for a subset of subjects displaying sleep onset insomnia symptoms in the stimulation condition. This study demonstrates the feasibility of closed-loop tracking and neuromodulation of alpha oscillations using a wearable EEG device. Preliminary results suggest that this approach could be used to accelerate sleep initiation in individuals with objective insomnia symptoms.