Quantitative Analyses of Cerebral Hemodynamics and Wave Dynamics in Essential Systemic Hypertension: A Multiscale Computational Modeling Study
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Published on: December 10, 2014
1College of Health Science and Environmental Engineering, Shenzhen Technology University, Shenzhen, Guangdong, China.
Insights
Hypertension significantly alters blood flow dynamics in cerebral arteries, increasing wave intensity and power. Computational models reveal how factors like arterial stiffness and vascular resistance impact these changes, offering insights into cerebrovascular disease mechanisms.
Area of Science:
- Cardiovascular Physiology
- Computational Biology
- Medical Engineering
Background:
- Hypertension causes pathological changes in hemodynamics and wave dynamics, contributing to cerebrovascular diseases.
- Limited understanding exists due to current medical device resolution constraints.
Purpose of the Study:
- To develop a multiscale computational model for the cardiovascular system to study hypertension's effects.
- To introduce a parameter assignment method for vascular bed models and a strategy for characterizing hypertension-related parameters.
Main Methods:
- Developed a closed-loop multiscale computational modeling framework for the entire cardiovascular system.
- Proposed a novel parameter assignment method for 0D peripheral vascular bed models.
- Introduced a mathematical modeling strategy for hypertension-associated cardiovascular parameters.
Main Results:
- Hypertension showed early arrival and increased intensity/power of forward and backward compression/expansion waves in cerebral arteries.
- The aorta exhibited delayed forward wave arrival but early backward wave arrival, with altered wave magnitudes.
- Parametric studies indicated that arterial enlargement, increased myocardial stiffness, and peripheral resistance reduced cerebral artery wave intensity/power.
Conclusions:
- The computational model provides a tool for understanding hypertension's complex hemodynamic and wave dynamic mechanisms.
- Findings highlight the impact of hypertension on cerebrovascular hemodynamics and wave propagation.
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.
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