An effective model of cerebrovascular pressure reactivity and blood flow autoregulation

Sebastián Acosta*, Daniel J. Penny, Kenneth Martin Brady, Craig G. Rusin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Understanding cerebral blood flow dynamics is crucial for the care of patients at risk of poor cerebral perfusion. We describe an effective model of cerebral hemodynamics designed to reveal important macroscopic features of cerebral blood flow without having to resolve the detailed microvasculature of the brain. Based on principles of fluid and elastic dynamics and vascular pressure-reactivity, the model quantifies the physical means by which the vasculature executes autoregulatory reflexes. We demonstrate that the frequency response of the proposed model matches experimental measurements and explains the influence of mechanical factors on the autoregulatory performance. Analysis of the model indicates the existence of an optimal mean arterial pressure which minimizes the sensitivity of the flow to changes in perfusion pressure across the frequency spectrum of physiological oscillations. We highlight the simplicity of the model and its potential to improve monitoring of brain perfusion via real-time computational simulations of cerebro- and cardio-vascular interventions.

Original languageEnglish (US)
Pages (from-to)34-43
Number of pages10
JournalMicrovascular Research
Volume115
DOIs
StatePublished - Jan 2018

Keywords

  • Blood flow autoregulation
  • Brain perfusion
  • Cerebral hemodynamics
  • Mathematical and computational methods
  • Pressure reactivity

ASJC Scopus subject areas

  • Biochemistry
  • Cardiology and Cardiovascular Medicine
  • Cell Biology

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