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Disentangling cardiovascular control mechanisms during head-down tilt via joint transfer entropy and self-entropy decompositions

机译:通过关节转移熵和自熵分解来解脱头朝下倾斜过程中的心血管控制机制

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摘要

A full decomposition of the predictive entropy (PE) of the spontaneous variations of the heart period (HP) given systolic arterial pressure (SAP) and respiration (R) is proposed. The PE of HP is decomposed into the joint transfer entropy (JTE) from SAP and R to HP and self-entropy (SE) of HP. The SE is the sum of three terms quantifying the synergistic/redundant contributions of HP and SAP, when taken individually and jointly, to SE and one term conditioned on HP and SAP denoted as the conditional SE (CSE) of HP given SAP and R. The JTE from SAP and R to HP is the sum of two terms attributable to SAP or R plus an extra term describing the redundant/synergistic contribution to the JTE. All quantities were computed during cardiopulmonary loading induced by −25° head-down tilt (HDT) via a multivariate linear regression approach. We found that: (i) the PE of HP decreases during HDT; (ii) the decrease of PE is attributable to a lessening of SE of HP, while the JTE from SAP and R to HP remains constant; (iii) the SE of HP is dominant over the JTE from SAP and R to HP and the CSE of HP given SAP and R is prevailing over the SE of HP due to SAP and R both in supine position and during HDT; (iv) all terms of the decompositions of JTE from SAP and R to HP and SE of HP due to SAP and R were not affected by HDT; (v) the decrease of the SE of HP during HDT was attributed to the reduction of the CSE of HP given SAP and R; (vi) redundancy of SAP and R is prevailing over synergy in the information transferred into HP both in supine position and during HDT, while in the HP information storage synergy and redundancy are more balanced. The approach suggests that the larger complexity of the cardiac control during HDT is unrelated to the baroreflex control and cardiopulmonary reflexes and may be related to central commands and/or modifications of the dynamical properties of the sinus node.
机译:在给定收缩期动脉压(SAP)和呼吸(R)的情况下,建议对心脏周期(HP)自发变化的预测熵(PE)进行完全分解。 HP的PE分解为SAP和R到HP的联合转移熵(JTE)和HP的自熵(SE)。 SE是量化HP和SAP对SE的协同/冗余贡献的三个术语的总和,并且以HP和SAP为条件的一个术语表示为给定SAP和R的HP的条件SE(CSE)。从SAP和R到HP的JTE是可归因于SAP或R的两个术语的总和,加上描述JTE冗余/协同作用的额外术语。通过多变量线性回归方法,计算由-25°头向下倾斜(HDT)引起的心肺负荷期间的所有量。我们发现:(i)HDT期间HP的PE降低; (ii)PE的减少归因于HP SE的减少,而SAP和R到HP的JTE保持不变; (iii)从SAP和R到HP的JTE,HP的SE占主导地位,并且由于SAP和R在仰卧位和HDT期间,由于SAP和R在HP的SE中占优势,因此HP的CSE占主导地位; (iv)由于SAP和R,JTE从SAP和R分解为HP和HP SE的所有条款均不受HDT的影响; (v)HDT期间HP的SE减少归因于给定SAP和R后HP的CSE降低; (vi)在仰卧位和HDT期间,SAP和R的冗余在传递给HP的信息中的协同作用高于优势,而在HP信息存储中,协同作用和冗余更加平衡。该方法表明,HDT期间心脏控制的较大复杂性与压力反射控制和心肺反射无关,并且可能与中央指令和/或窦房结动力学特性的修改有关。

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