Electroencephalographic changes during respiratory cycles predict sleepiness in sleep apnea.
Electroencephalographic changes during respiratory cycles predict sleepiness in sleep apnea.
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呼吸周期期间的脑电图变化可预测睡眠呼吸暂停中的困倦。
DOI：
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发表时间：
2005
影响因子：
24.7
通讯作者：
Deborah L. Ruzicka
中科院分区：
文献类型：
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作者：
R. Chervin;J. W. Burns;Deborah L. Ruzicka
睡眠呼吸障碍的常见多导睡眠图测量显示出令人失望的能力，以预测重要的后果，如白天过度嗜睡。使用新的分析技术，这项研究测试的假设，许多，短暂的中断皮层活动可能会发生在呼吸的基础上，在非窒息睡眠。频谱分析证明存在呼吸周期相关的脑电图变化，在每38例成人患者的多导睡眠图评估睡眠呼吸障碍。此外，sigma（13-15 Hz）脑电图功率随呼吸周期变化的趋势预测了第二天的嗜睡，如多次睡眠潜伏期测试所测量的。当分析仅限于27例睡眠呼吸障碍患者（每小时睡眠超过5次呼吸暂停或呼吸不足）时，预测值增强。相比之下，夜间呼吸暂停和呼吸不足的发生率以及最低血氧饱和度也不能预测嗜睡。平均而言，sigma功率在吸气期间显著增加，而delta（1-4 Hz）功率显示出同时降低。我们的结论是，脑电图活动显示可检测到的变化，在非呼吸暂停呼吸周期的成人评估睡眠呼吸障碍。这些变化的量化，这可能反映了大量的吸气微觉醒，可以证明是有用的过度白天嗜睡的预测。
Common polysomnographic measures of sleep-disordered breathing have shown a disappointing ability to predict important consequences such as excessive daytime sleepiness. Using novel analytic techniques, this study tested the hypothesis that numerous, brief disruptions in cortical activity could occur on a breath-to-breath basis during nonapneic sleep. Spectral analysis proved the existence of respiratory cycle-related electroencephalographic changes in each of 38 adult patients evaluated by polysomnography for sleep-disordered breathing. Furthermore, the tendency for sigma (13-15 Hz) electroencephalographic power to vary with the respiratory cycle predicted next-day sleepiness as measured by the multiple sleep latency test. The predictive value was enhanced when the analysis was limited to those 27 patients who had sleep-disordered breathing (more than 5 apneas or hypopneas per hour of sleep). In contrast, nocturnal rates of apneas and hypopneas, as well as minimal oxygen saturation, did not predict sleepiness as well. On average, sigma power increased notably during inspiration, whereas delta (1-4 Hz) power showed a simultaneous decrease. We conclude that electroencephalographic activity shows detectable changes during nonapneic respiratory cycles in adults evaluated for sleep-disordered breathing. Quantification of these changes, which may reflect numerous inspiratory microarousals, could prove useful in prediction of excessive daytime sleepiness.
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影响因子：
5.6
作者：
Chervin, RD;Burns, JW;Ruzicka, DL
通讯作者：
Ruzicka, DL
影响因子：
9.6
作者：
T. Roehrs;F. Zorick;R. Wittig;William A. Conway;T. Roth
通讯作者：
T. Roehrs;F. Zorick;R. Wittig;William A. Conway;T. Roth
睡眠期间呼吸暂停和呼吸不足的特征以及与白天过度嗜睡的关系。
影响因子：
5.6
作者：
Chervin,RD;Aldrich,MS
通讯作者：
Aldrich,MS
NPSG 期间呼吸事件的检测：鼻插管/压力传感器与热敏电阻。
影响因子：
5.6
作者：
Norman,RG;Ahmed,MM;Walsleben,JA;Rapoport,DM
通讯作者：
Rapoport,DM
影响因子：
9.6
作者：
GUILLEMINAULT, C;STOOHS, R;MAISTROS, P
通讯作者：
MAISTROS, P