Modelling Cerebral Blood Flow Autoregulation in Humans

Abstract

Better understanding of the determinants of cerebral blood flow (CBF) and the interpretation of clinical measurements can benefit from quantitative modelling% of CBF regulatory,' mechanisms and their interaction with other haemodynamic variables such as intracranial pressure and blood gases, Mathematical models have been able to reproduce many known phenomena and to extract relevant parameters for patient management "Black-box" models, chiefly transfer function analysis, are easier to apply in a clinical setting, but cannot separate the contributions of the myogenic, metabolic, or neurogenic regulatory,' mechanisms from that of the vascular bed and other intracranial elements, Future work should emphasize i) multivariate system identification approaches and, ii) closer collaboration between the mathematical and "black-box" schools of modelling to enhance the benefits of these distinct approaches,

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA409824

Entities

People

  • R. B. Panerai

Organizations

  • University of Leicester

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Arteries
  • Autonomic Nervous System
  • Blood
  • Blood Flow
  • Cardiovascular Physiological Phenomena
  • Computational Science
  • Correlation Analysis
  • Differential Equations
  • Equations
  • Frequency
  • Frequency Domain
  • Frequency Response
  • Linear Differential Equations
  • Mathematical Models
  • Models
  • Transfer Functions

Fields of Study

  • Medicine

Readers

  • Computational Modeling and Simulation
  • Military and Counterinsurgency Studies.
  • Trauma Surgery or Emergency Medicine.