A mathematical model of cerebral blood flow control in anaemia and hypoxia

2020 ◽  
Vol 598 (4) ◽  
pp. 717-730 ◽  
Author(s):  
James Duffin ◽  
Gregory M.T Hare ◽  
Joseph A. Fisher
Keyword(s):  
Mathematical Model ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Flow Control ◽  
Blood Flow Control

A model of cerebral blood flow control in hypercapnia

1978 ◽  
Vol 6 (4) ◽  
pp. 453-491 ◽  
Author(s):  
J. H. Greenberg ◽  
M. Reivich ◽  
A. Noordergraaf
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Flow Control ◽  
Blood Flow Control

scholarly journals Spectral indices of human cerebral blood flow control: responses to augmented blood pressure oscillations

2004 ◽  
Vol 559 (3) ◽  
pp. 965-973 ◽  
Author(s):  
J. W. Hamner ◽  
Michael A. Cohen ◽  
Seiji Mukai ◽  
Lewis A. Lipsitz ◽  
J. Andrew Taylor
Keyword(s):  
Blood Pressure ◽  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Flow Control ◽  
Spectral Indices ◽  
Pressure Oscillations ◽  
Blood Flow Control

A lumped parameter model of cerebral blood flow control combining cerebral autoregulation and neurovascular coupling

2012 ◽  
Vol 303 (9) ◽  
pp. H1143-H1153 ◽  
Author(s):  
Bart Spronck ◽  
Esther G. H. J. Martens ◽  
Erik D. Gommer ◽  
Frans N. van de Vosse
Keyword(s):  
Blood Flow ◽  
Cerebral Blood Flow ◽  
Flow Control ◽  
Cerebral Autoregulation ◽  
Neurovascular Coupling ◽  
Flow Regulation ◽  
Lumped Parameter Model ◽  
Blood Flow Regulation ◽  
Lumped Parameter ◽  
Blood Flow Control

Cerebral blood flow regulation is based on a variety of different mechanisms, of which the relative regulatory role remains largely unknown. The cerebral regulatory system expresses two regulatory properties: cerebral autoregulation and neurovascular coupling. Since partly the same mechanisms play a role in cerebral autoregulation and neurovascular coupling, this study aimed to develop a physiologically based mathematical model of cerebral blood flow regulation combining these properties. A lumped parameter model of the P2 segment of the posterior cerebral artery and its distal vessels was constructed. Blood flow regulation is exerted at the arteriolar level by vascular smooth muscle and implements myogenic, shear stress based, neurogenic, and metabolic mechanisms. In eight healthy subjects, cerebral autoregulation and neurovascular coupling were challenged by squat-stand maneuvers and visual stimulation using a checkerboard pattern, respectively. Cerebral blood flow velocity was measured using transcranial Doppler, whereas blood pressure was measured by finger volume clamping. In seven subjects, the model proposed fits autoregulation and neurovascular coupling measurement data well. Myogenic regulation is found to dominate the autoregulatory response. Neurogenic regulation, although only implemented as a first-order mechanism, describes neurovascular coupling responses to a great extent. It is concluded that our single, integrated model of cerebral blood flow control may be used to identify the main mechanisms affecting cerebral blood flow regulation in individual subjects.

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