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分类呼吸在心血管和脑血管变异性相互作用中的作用。

Categorizing the Role of Respiration in Cardiovascular and Cerebrovascular Variability Interactions.

出版信息

IEEE Trans Biomed Eng. 2022 Jun;69(6):2065-2076. doi: 10.1109/TBME.2021.3135313. Epub 2022 May 19.

Abstract

OBJECTIVE

Respiration disturbs cardiovascular and cerebrovascular controls but its role is not fully elucidated.

METHODS

Respiration can be classified as a confounder if its observation reduces the strength of the causal relationship from source to target. Respiration is a suppressor if the opposite situation holds. We prove that a confounding/suppression (C/S) test can be accomplished by evaluating the sign of net redundancy/synergy balance in the predictability framework based on multivariate autoregressive modelling. In addition, we suggest that, under the hypothesis of Gaussian processes, the C/S test can be given in the transfer entropy decomposition framework as well. Experimental protocols: We applied the C/S test to variability series of respiratory movements, heart period, systolic arterial pressure, mean arterial pressure, and mean cerebral blood flow recorded in 17 pathological individuals (age: 64±8 yrs; 17 males) before and after induction of propofol-based general anesthesia prior to coronary artery bypass grafting, and in 13 healthy subjects (age: 27±8 yrs; 5 males) at rest in supine position and during head-up tilt with a table inclination of 60°.

RESULTS

Respiration behaved systematically as a confounder for cardiovascular and cerebrovascular controls. In addition, its role was affected by propofol-based general anesthesia but not by a postural stimulus of limited intensity.

CONCLUSION

The C/S test can be fruitfully exploited to categorize the role of respiration over causal variability interactions.

SIGNIFICANCE

The application of the C/S test could favor the comprehension of the role of respiration in cardiovascular and cerebrovascular regulations.

摘要

目的

呼吸会干扰心血管和脑血管的控制,但它的作用尚未完全阐明。

方法

如果观察到的呼吸会降低源到目标的因果关系强度,则可以将其归类为混杂因素。如果情况相反,则呼吸为抑制因素。我们证明,可以通过在基于多变量自回归建模的可预测性框架中评估净冗余/协同平衡的符号来完成混杂/抑制(C/S)测试。此外,我们还建议,在高斯过程的假设下,也可以在传递熵分解框架中给出 C/S 测试。实验方案:我们将 C/S 测试应用于在进行冠状动脉旁路移植术之前,在 17 名病理个体(年龄:64±8 岁;17 名男性)和 13 名健康个体(年龄:27±8 岁;5 名男性)中记录的呼吸运动、心动周期、收缩压、平均动脉压和平均脑血流变异性序列中,健康个体在仰卧位休息和头高位倾斜(倾斜角度为 60°)时记录。

结果

呼吸对心血管和脑血管控制表现出系统的混杂作用。此外,它的作用受到基于异丙酚的全身麻醉的影响,但不受强度有限的姿势刺激的影响。

结论

C/S 测试可成功用于对呼吸在因果可变性相互作用中的作用进行分类。

意义

C/S 测试的应用可以促进对呼吸在心血管和脑血管调节中的作用的理解。

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