Title :
The role of oxygen in cerebrovascular control: a mathematical analysis
Author :
Ursino, M. ; Magosso, E.
Author_Institution :
Dept. of Electron., Comput. Sci. & Syst., Bologna Univ., Italy
Abstract :
A former model of cerebrovascular regulation and intracranial pressure dynamics has been improved to account for the effect of oxygen lack on cerebral vessels and cerebral blood flow (CBF). The model assumes that CBF regulation is the result of three distinct feedback mechanisms working on pial arteries and arterioles: they represent CO2 reactivity, tissue hypoxia, and a mechanism (either pressure-dependent or flow-dependent in nature) that does not depend on O2 or CO2 directly. With a suitable choice of the mechanism gains, assigned by means of an automatic best-fitting procedure, the model is able to reproduce the pattern of inner radii in small and large pial arteries and CBF during hypoxia and hypotension quite well. These results suggest that autoregulation to perfusion pressure changes cannot be explained merely on the basis of tissue hypoxia, but it requires the presence of further flow-dependent response at the level of small arterioles. Finally, model simulations suggest that acute hypoxia, in a patient with reduced cerebrospinal fluid (CSF) outflow, may induce a significant increase in intracranial pressure, with the risk of secondary brain damage. The model may be of value to improve the present understanding of cerebrovascular control in a large range of clinical conditions.
Keywords :
biocontrol; brain models; feedback; flow control; haemodynamics; oxygen; CO2; O2; automatic best-fitting procedure; cerebral blood flow; cerebral vessels; cerebrovascular control; clinical conditions; distinct feedback mechanisms; flow-dependent response; hypotension; inner radii pattern reproduction; intracranial pressure dynamics; large pial arteries; mathematical analysis; model simulations; reduced cerebrospinal fluid outflow; secondary brain damage; small arterioles; small pial arteries; Arteries; Blood flow; Brain modeling; Computer science; Cranial pressure; Hemodynamics; Mathematical analysis; Mathematical model; Muscles; Oxygen;
Conference_Titel :
Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
Print_ISBN :
0-7803-7211-5
DOI :
10.1109/IEMBS.2001.1018902