Quantitative Analyses of Cerebral Hemodynamics and Wave Dynamics in Essential Systemic Hypertension: A Multiscale Computational Modeling Study

IF 2.4 4区 医学 Q3 ENGINEERING, BIOMEDICAL
Xiancheng Zhang
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Abstract

Hypertension-induced alterations in hemodynamics and wave dynamics are important pathological mechanisms for cerebrovascular diseases, vascular cognitive impairment and dementia. However, fundamental understanding of hemodynamics and wave dynamics in hypertension remains limited due to the restricted temporal and spatial resolution of current medical devices. To address the gap, this study developed a closed-loop multiscale computational modeling framework for the entire cardiovascular system. A novel “parameter assignment method” designed for diverse 0D peripheral vascular bed models across the entire cardiovascular system was proposed. Additionally, a mathematical modeling strategy was introduced to characterize cardiovascular parameters associated with hypertension across varying degrees of severity. Key findings from model-based studies indicated that in hypertension, there was early arrival and increased magnitudes of forward compression wave intensity and power (FCWI and FCWP), forward expansion wave intensity and power (FEWI and FEWP), and back compression wave intensity and power (BCWI and BCWP) in extra-intracranial cerebral arteries. The proximal aorta, however, exhibited delayed arrival of FCWI and FCWP but early arrival of BCWI and BCWP, along with negligible change in FCWI magnitudes and slightly increased BCWI magnitudes, significantly increased FEWI, FCWP, FEWP and BCWP magnitudes. Moreover, parametric studies demonstrated that progressively enlarging central large elastic arteries, increasing passive myocardial stiffness, and raising peripheral vascular resistance led to reduced magnitudes of FCWI, BCWI, FCWP and BCWP in cerebral arteries. Conversely, stiffening of central large elastic arteries and increasing myocardial contractility had opposite effects. The proposed computational modeling framework will serve as a powerful tool for elucidating the complex mechanisms underlying hypertension-associated hemodynamics and wave dynamics.

Abstract Image

原发性全身性高血压脑血流动力学和脑波动力学的定量分析:一项多尺度计算模型研究
高血压引起的血流动力学和波动力学改变是脑血管疾病、血管性认知障碍和痴呆的重要病理机制。然而,由于当前医疗设备的时间和空间分辨率有限,对高血压的血液动力学和波动动力学的基本理解仍然有限。为了解决这一差距,本研究为整个心血管系统开发了一个闭环多尺度计算建模框架。提出了一种新的“参数赋值方法”,该方法适用于整个心血管系统不同的0D外周血管床模型。此外,引入了一种数学建模策略来描述与不同严重程度的高血压相关的心血管参数。基于模型的主要研究结果表明,高血压患者颅内外脑动脉前向压缩波强度和功率(FCWI和FCWP)、前向扩张波强度和功率(FEWI和FEWP)、后向压缩波强度和功率(BCWI和BCWP)到达时间早,幅度增大。近端主动脉FCWI和FCWP到达延迟,BCWI和BCWP到达早,FCWI大小变化可忽略,BCWI大小轻微升高,FEWI、FCWP、FEWP和BCWP大小明显升高。此外,参数研究表明,中央大弹性动脉逐渐增大,被动心肌刚度增加,周围血管阻力升高,导致脑动脉FCWI、BCWI、FCWP和BCWP的幅度降低。相反,中央大弹性动脉硬化和心肌收缩力增加具有相反的作用。所提出的计算建模框架将成为阐明高血压相关血流动力学和波动动力学的复杂机制的有力工具。
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来源期刊
International Journal for Numerical Methods in Biomedical Engineering
International Journal for Numerical Methods in Biomedical Engineering ENGINEERING, BIOMEDICAL-MATHEMATICAL & COMPUTATIONAL BIOLOGY
CiteScore
4.50
自引率
9.50%
发文量
103
审稿时长
3 months
期刊介绍: All differential equation based models for biomedical applications and their novel solutions (using either established numerical methods such as finite difference, finite element and finite volume methods or new numerical methods) are within the scope of this journal. Manuscripts with experimental and analytical themes are also welcome if a component of the paper deals with numerical methods. Special cases that may not involve differential equations such as image processing, meshing and artificial intelligence are within the scope. Any research that is broadly linked to the wellbeing of the human body, either directly or indirectly, is also within the scope of this journal.
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