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阻塞性睡眠呼吸暂停严重程度与N2睡眠期间相位滞后指数功能连接降低相关

Obstructive sleep apnea severity associates with reduced phase-lag index functional connectivity during N2 sleep.

临床研究咽喉科IF 2.8Q3

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中文摘要

目的: 阻塞性睡眠呼吸暂停(OSA)日益被认为是认知障碍和痴呆的危险因素。我们研究了OSA严重程度与常规频谱指标及基于相位滞后指数(PLI)的功能连接之间分期和频率特异性的关联。
方法: 我们回顾性分析了50例诊断为OSA或原发性打鼾的患者(平均年龄51.7±14.3岁,70%为男性)的多导睡眠监测数据。使用常规频谱功率比(alpha+beta/theta+delta)和基于PLI的功能连接对六通道EEG数据在delta、theta、alpha和beta频段进行分析。采用Pearson相关性评估呼吸暂停低通气指数(AHI)与清醒期、N2睡眠和REM睡眠期间EEG参数的关联。
结果: 中位AHI为25.7 [IQR:7.2-48.3]。常规频谱指标在任何睡眠阶段均未显示与AHI显著相关。PLI分析揭示了分期和频率特异性的关联:在N2睡眠期间,AHI与delta频段PLI呈负相关(r = -0.335,95% CI -0.588至-0.021,p = 0.037),与theta频段PLI呈负相关(r = -0.326,95% CI -0.582至-0.012,p = 0.043)。在清醒期或REM睡眠期间未观察到显著关联。
结论: 功能连接分析识别出与OSA严重程度的分期特异性关联,而常规频谱指标未观察到这些关联,提示基于PLI的连接可能为OSA相关的神经网络改变提供补充信息。

英文摘要

PURPOSE: Obstructive sleep apnea (OSA) is increasingly recognized as a risk factor for cognitive impairment and dementia. We investigated stage- and frequency-specific associations between OSA severity and both conventional spectral measures and phase-lag index (PLI)-based functional connectivity.
METHODS: We retrospectively analyzed polysomnography data from 50 patients (mean age 51.7 ± 14.3 years, 70% male) diagnosed with OSA or primary snoring. Six-channel EEG data were analyzed using conventional spectral power ratios (alpha+beta/theta+delta) and PLI-based functional connectivity across delta, theta, alpha, and beta bands. Pearson correlations assessed associations between apnea-hypopnea index (AHI) and EEG parameters across wakefulness, N2 sleep, and REM sleep.
RESULTS: Median AHI was 25.7 [IQR: 7.2-48.3]. Conventional spectral measures showed no significant AHI correlations in any sleep stage. PLI analysis revealed stage- and frequency-specific associations: during N2 sleep, AHI negatively correlated with delta-band PLI (r = -0.335, 95% CI -0.588 to -0.021, p = 0.037) and theta-band PLI (r = -0.326, 95% CI -0.582 to -0.012, p = 0.043). No significant associations were observed during wakefulness or REM sleep.
CONCLUSION: Functional connectivity analysis identified stage-specific associations with OSA severity that were not observed with conventional spectral measures, suggesting that PLI-based connectivity may provide complementary information on OSA-related neural network alterations.