Porta Alberto, Bari Vlasta, De Maria Beatrice, Baumert Mathias
Department of Biomedical Sciences for Health, University of Milan, Milan, Italy. Department of Cardiothoracic, Vascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, San Donato Milanese, Milan, Italy.
Physiol Meas. 2017 Jun 27;38(7):1472-1489. doi: 10.1088/1361-6579/aa6e95.
A network physiology approach to evaluate the strength of the directed interactions among cardiac controls at sinoatrial and ventricular levels and respiration (R) is proposed.
The network is composed of three nodes (i.e. sinoatrial and ventricular cardiac controls and R) and their activity is exemplified by the variability of heart period (HP), the variability of the duration of the electrical activity of the heart approximated as the temporal distance between Q-wave onset and T-wave end or apex (i.e. QTe or QTa) and thoracic movements respectively. Model-based transfer entropy provided the estimate of the strength of the causal link from the source to the destination conditioned on the remaining node activity. The interactions were monitored in 15 healthy subjects aged from 24 to 54 years (9 males). Increasing levels of sympathetic activity were induced by graded head-up tilt with table inclination of 0, 15, 30, 45, 60, 75°.
We found that: (i) the strength of the causal link from HP to QTe gradually decreases with tilt table angle, while that in the reverse direction is weak, even though significant, and constant; (ii) the action of R on HP is stronger than that from R to QTe; (iii) the strength of the relation from R to HP is weakly related to tilt table inclination, while that from R to QTe does not depend on it; (iv) while QTe cannot affect R, a weak causal dependence of R on HP is detected; (v) the network computed over QTa is qualitatively similar to that over QTe, even though the strength of the causal relations might be different.
The proposed network physiology approach provides a comprehensive picture of the directed links among relevant cardiac regulatory mechanisms and their evolution with sympathetic tone usable to identify pathological conditions.
提出一种网络生理学方法,以评估窦房结和心室水平的心脏控制与呼吸(R)之间定向相互作用的强度。
该网络由三个节点组成(即窦房结和心室心脏控制以及R),它们的活动分别以心率变异性(HP)、近似为Q波起始点与T波终点或顶点之间时间距离的心脏电活动持续时间变异性(即QTe或QTa)以及胸部运动来体现。基于模型的转移熵提供了在其余节点活动条件下从源节点到目标节点因果联系强度的估计。在15名年龄在24至54岁之间的健康受试者(9名男性)中监测这些相互作用。通过将倾斜台倾斜度设置为0°、15°、30°、45°、60°、75°进行分级头高位倾斜来诱导交感神经活动水平的增加。
我们发现:(i)从HP到QTe的因果联系强度随着倾斜台角度逐渐降低,而反向的因果联系强度较弱,尽管显著,但保持不变;(ii)R对HP的作用强于从R到QTe的作用;(iii)从R到HP的关系强度与倾斜台倾斜度弱相关,而从R到QTe的关系强度与之无关;(iv)虽然QTe不能影响R,但检测到R对HP存在弱因果依赖性;(v)基于QTa计算的网络在性质上与基于QTe计算的网络相似,尽管因果关系的强度可能不同。
所提出的网络生理学方法提供了相关心脏调节机制之间定向联系及其随交感神经张力演变的全面图景,可用于识别病理状况。