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

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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Publication Details

Journal
International Journal for Numerical Methods in Biomedical Engineering
Published
2025-08-01
DOI
https://doi.org/10.1002/cnm.70082
Primary Topic
Cardiovascular Health and Disease Prevention
Type
article
Field-Weighted Citation Impact
0.00

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article

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

X M Zhang
International Journal for Numerical Methods in Biomedical Engineering
Cardiovascular Health and Disease Prevention
article

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

X M Zhang
article en

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.

International Journal for Numerical Methods in Biomedical EngineeringVol. 41(8)
Shenzhen Technology University (CN)
Natural Science Foundation of Guangdong Province
Openalex Percentile: Top 66%
Cardiovascular Health and Disease Prevention
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