Liu Shuling, Shen Jiucheng, Li Yezhou, Wang Jing, Wang Jianhua, Xu Juan, Wang Qiaojun, Chen Rui
Department of Respiratory Medicine, Sleep Center, The Second Affiliated Hospital of Soochow University, Soochow University, Suzhou, China.
Department of Respiratory Medicine, The Second Affiliated Hospital of Soochow University, Suzhou, China.
Front Neurol. 2021 Feb 26;12:643855. doi: 10.3389/fneur.2021.643855. eCollection 2021.
To characterize electroencephalogram (EEG) power in different frequency bands during rapid eye movement (REM) sleep and non-rapid eye movement (NREM) sleep in patients with obstructive sleep apnea (OSA). Retrospective data on 151 patients were collected and divided into three groups: primary snoring group (AHI < 5/h), mild-moderate OSA group (6 ≤ AHI < 30/h), and severe OSA group (AHI ≥ 30/h). EEG recordings in the frontal, central, and occipital regions were extracted from both REM and NREM sleep, to compute the normalized spectral power densities in the delta, theta, alpha, sigma, beta, and gamma frequency bands, using Fast Fourier Transform. Correlations between the computed EEG power and PSG parameters were analyzed. In NREM sleep, elevated normalized power spectral density (PSD) in the delta band was observed in the severe OSA group compared to the other two groups. In contrast, the PSD of the other frequency bands showed a corresponding decrease in the severe OSA group. In REM sleep, similar changes were observed in the frontal region. Delta band PSD was positively correlated with Apnea Hypopnea Index (AHI) ( = 0.33), longest time of apnea, oxygen desaturation index (ODI) ( = 0.34), percent sleep time below 90% SaO (T90%) ( = 0.30), Arousal Index (ArI) ( = 0.29), and negatively correlated with N3%, minimum oxygen saturation (minSaO). Our findings provide neurophysiological evidence for pathological cortical activation during REM/NREM sleep, which may be associated with the arousals and cognitive impairments in OSA. The technique of power spectral analysis could prove a potentially useful tool in complementing traditional PSG parameters in assessing disease burden to guide therapeutic decisions.
为了描述阻塞性睡眠呼吸暂停(OSA)患者快速眼动(REM)睡眠和非快速眼动(NREM)睡眠期间不同频段的脑电图(EEG)功率。收集了151例患者的回顾性数据,并将其分为三组:原发性打鼾组(呼吸暂停低通气指数[AHI]<5次/小时)、轻中度OSA组(6≤AHI<30次/小时)和重度OSA组(AHI≥30次/小时)。从REM和NREM睡眠中提取额叶、中央和枕叶区域的EEG记录,使用快速傅里叶变换计算δ、θ、α、σ、β和γ频段的归一化谱功率密度。分析计算出的EEG功率与多导睡眠图(PSG)参数之间的相关性。在NREM睡眠中,与其他两组相比,重度OSA组δ频段的归一化功率谱密度(PSD)升高。相比之下,重度OSA组其他频段的PSD相应降低。在REM睡眠中,额叶区域也观察到类似变化。δ频段PSD与呼吸暂停低通气指数(AHI)(r = 0.33)、最长呼吸暂停时间、氧饱和度下降指数(ODI)(r = 0.34)、低于90%血氧饱和度(SaO)的睡眠时间百分比(T90%)(r = 0.30)、觉醒指数(ArI)(r = 0.29)呈正相关,与N3%、最低血氧饱和度(minSaO)呈负相关。我们的研究结果为REM/NREM睡眠期间病理性皮质激活提供了神经生理学证据,这可能与OSA中的觉醒和认知障碍有关。功率谱分析技术可能是一种潜在有用的工具,可在评估疾病负担以指导治疗决策时补充传统的PSG参数。