Otzenberger H, Simon C, Gronfier C, Brandenberger G
UPRES 12, Faculté de Médecine, Strasbourg, France.
Neurosci Lett. 1997 Jul 4;229(3):173-6. doi: 10.1016/s0304-3940(97)00448-5.
In previous sleep studies, it has been demonstrated that Poincare plots of RR intervals, which provide a beat to beat dynamic measure of heart rate variability, have distinctive and characteristic patterns according to sleep stages. This study was designed to evaluate the temporal relationship between heart rate variability and sleep electroencephalographic activity (EEG) by using the Pearson's interbeat autocorrelation coefficients of RR intervals derived from the Poincare plots. The coefficients were calculated in 12 subjects over each minute and were related to the profiles of EEG mean frequency (0.5-35 Hz) computed using a Fast Fourier Transformation algorithm. Overnight profiles of interbeat autocorrelation coefficients and of EEG mean frequency were found to be related with highly significant cross-correlation coefficients ranging between 0.216 and 0.638 (P < 0.001). The variations in heart rate variability preceded changes in brain activity by 1-2 min. These results demonstrate that beat to beat heart rate variability and EEG activity are closely linked during sleep in normal man.
在以往的睡眠研究中，已经证明RR间期的庞加莱图可提供心率变异性的逐搏动态测量，根据睡眠阶段具有独特且典型的模式。本研究旨在通过使用从庞加莱图得出的RR间期的皮尔逊逐搏自相关系数，评估心率变异性与睡眠脑电图活动（EEG）之间的时间关系。系数在12名受试者中每分钟计算一次，并与使用快速傅里叶变换算法计算的EEG平均频率（0.5 - 35 Hz）的概况相关。发现逐搏自相关系数和EEG平均频率的夜间概况与高度显著的互相关系数相关，范围在0.216至0.638之间（P < 0.001）。心率变异性的变化比大脑活动的变化提前1 - 2分钟。这些结果表明，在正常男性睡眠期间，逐搏心率变异性与EEG活动密切相关。
