Triggiani Antonio Ivano, Valenzano Anna, Del Percio Claudio, Marzano Nicola, Soricelli Andrea, Petito Annamaria, Bellomo Antonello, Başar Erol, Mundi Ciro, Cibelli Giuseppe, Babiloni Claudio
Dept. of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
IRCCS San Raffaele Pisana, Rome, Italy.
Int J Psychophysiol. 2016 May;103:79-87. doi: 10.1016/j.ijpsycho.2015.02.009. Epub 2015 Feb 7.
We tested the hypothesis of a relationship between heart rate variability (HRV) and Rolandic mu rhythms in relaxed condition of resting state. Resting state eyes-closed electroencephalographic (EEG) and electrocardiographic (ECG) data were recorded (10-20 System) in 42 healthy adults. EEG rhythms of interest were high-frequency alpha (10.5-13Hz) and low-frequency beta (13-20Hz), which are supposed to form Rolandic mu rhythms. Rolandic and occipital (control) EEG sources were estimated by LORETA software. Results showed a statistically significant (p<0.05, corrected) negative correlation across all subjects between Rolandic cortical sources of low-frequency beta rhythms and the low-frequency band power (LF, 0.04-0.15Hz) of tachogram spectrum as an index of HRV. The lower the amplitude of Rolandic sources of low-frequency beta rhythms (as a putative sign of activity of somatomotor cortex), the higher the LF band power of tachogram spectrum (as a putative sign of sympathetic activity). This effect was specific as there was neither a similar correlation between these EEG rhythms and high-frequency band power of tachogram spectrum (as a putative sign of parasympathetic vagal activity) neither between occipital sources of low-frequency beta rhythms (as a putative sign of activity of visual cortex) and LF band power of tachogram spectrum. These results suggest that Rolandic low-frequency beta rhythms are related to sympathetic activity regulating heart rate, as a dynamic neurophysiologic oscillatory mechanism sub-serving the interaction between brain neural populations involved in somatomotor control and brain neural populations regulating ANS signals to heart for on-going homeostatic adaptations.
我们检验了静息状态下心率变异性（HRV）与中央区μ节律之间关系的假设。在42名健康成年人中记录了静息状态下闭眼的脑电图（EEG）和心电图（ECG）数据（10-20系统）。感兴趣的EEG节律为高频α波（10.5-13Hz）和低频β波（13-20Hz），它们被认为可形成中央区μ节律。通过LORETA软件估计中央区和枕区（对照）EEG源。结果显示，在所有受试者中，低频β节律的中央皮质源与作为HRV指标的心动周期谱的低频带功率（LF，0.04-0.15Hz）之间存在统计学显著（p<0.05，校正后）的负相关。低频β节律的中央源的振幅越低（作为躯体运动皮质活动的假定标志），心动周期谱的LF带功率越高（作为交感神经活动的假定标志）。这种效应是特异性的，因为这些EEG节律与心动周期谱的高频带功率（作为副交感迷走神经活动的假定标志）之间以及低频β节律的枕区源（作为视觉皮质活动的假定标志）与心动周期谱的LF带功率之间均无类似的相关性。这些结果表明，中央区低频β节律与调节心率的交感神经活动有关，是一种动态神经生理振荡机制，用于维持参与躯体运动控制的脑神经元群体与调节心脏自主神经系统信号以进行持续稳态适应的脑神经元群体之间的相互作用。
