Literature DB >> 11792673

Dynamics of cerebral blood flow regulation explained using a lumped parameter model.

Mette S Olufsen1, Ali Nadim, Lewis A Lipsitz.   

Abstract

The dynamic cerebral blood flow response to sudden hypotension during posture change is poorly understood. To better understand the cardiovascular response to hypotension, we used a windkessel model with two resistors and a capacitor to reproduce beat-to-beat changes in middle cerebral artery blood flow velocity (transcranial Doppler measurements) in response to arterial pressure changes measured in the finger (Finapres). The resistors represent lumped systemic and peripheral resistances in the cerebral vasculature, whereas the capacitor represents a lumped systemic compliance. Ten healthy young subjects were studied during posture change from sitting to standing. Dynamic variations of the peripheral and systemic resistances were extracted from the data on a beat-to-beat basis. The model shows an initial increase, followed approximately 10 s later by a decline in cerebrovascular resistance. The model also suggests that the initial increase in cerebrovascular resistance can explain the widening of the cerebral blood flow pulse observed in young subjects. This biphasic change in cerebrovascular resistance is consistent with an initial vasoconstriction, followed by cerebral autoregulatory vasodilation.

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Year:  2002        PMID: 11792673     DOI: 10.1152/ajpregu.00285.2001

Source DB:  PubMed          Journal:  Am J Physiol Regul Integr Comp Physiol        ISSN: 0363-6119            Impact factor:   3.619


  21 in total

1.  Blood pressure and blood flow variation during postural change from sitting to standing: model development and validation.

Authors:  Mette S Olufsen; Johnny T Ottesen; Hien T Tran; Laura M Ellwein; Lewis A Lipsitz; Vera Novak
Journal:  J Appl Physiol (1985)       Date:  2005-04-28

2.  BLOOD FLOW IN THE CIRCLE OF WILLIS: MODELING AND CALIBRATION.

Authors:  Kristen Devault; Pierre A Gremaud; Vera Novak; Mette S Olufsen; Guillaume Vernières; Peng Zhao
Journal:  Multiscale Model Simul       Date:  2008-01-27       Impact factor: 1.930

3.  Cerebral blood flow and autoregulation: current measurement techniques and prospects for noninvasive optical methods.

Authors:  Sergio Fantini; Angelo Sassaroli; Kristen T Tgavalekos; Joshua Kornbluth
Journal:  Neurophotonics       Date:  2016-06-21       Impact factor: 3.593

4.  Rebuttal from Y. C. Tzeng and R. B. Panerai.

Authors:  Y C Tzeng; R B Panerai
Journal:  J Physiol       Date:  2017-12-05       Impact factor: 5.182

5.  A cerebrovascular response model for functional neuroimaging including dynamic cerebral autoregulation.

Authors:  Solomon Gilbert Diamond; Katherine L Perdue; David A Boas
Journal:  Math Biosci       Date:  2009-05-13       Impact factor: 2.144

6.  Dynamic pressure-flow relationship of the cerebral circulation during acute increase in arterial pressure.

Authors:  Rong Zhang; Khosrow Behbehani; Benjamin D Levine
Journal:  J Physiol       Date:  2009-04-09       Impact factor: 5.182

7.  Biochemomechanics of cerebral vasospasm and its resolution: I. A new hypothesis and theoretical framework.

Authors:  J D Humphrey; S Baek; L E Niklason
Journal:  Ann Biomed Eng       Date:  2007-05-09       Impact factor: 3.934

8.  Assessing intracranial vascular compliance using dynamic arterial spin labeling.

Authors:  Lirong Yan; Collin Y Liu; Robert X Smith; Mayank Jog; Michael Langham; Kate Krasileva; Yufen Chen; John M Ringman; Danny J J Wang
Journal:  Neuroimage       Date:  2015-09-10       Impact factor: 6.556

9.  Onset responses of ventilation and cerebral blood flow to hypercapnia in humans: rest and exercise.

Authors:  Shigehiko Ogoh; Philip N Ainslie; Tadayoshi Miyamoto
Journal:  J Appl Physiol (1985)       Date:  2009-01-08

10.  Model-based noninvasive estimation of intracranial pressure from cerebral blood flow velocity and arterial pressure.

Authors:  Faisal M Kashif; George C Verghese; Vera Novak; Marek Czosnyka; Thomas Heldt
Journal:  Sci Transl Med       Date:  2012-04-11       Impact factor: 17.956

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