Cerebral oxygenation and optimal vascular brain organization.
Abstract
The cerebral vascular network has evolved in such a way so as to minimize transport
time and energy expenditure. This is accomplished by a subtle combination of the optimal
arrangement of arteries, arterioles and capillaries and the transport mechanisms of
convection and diffusion. Elucidating the interaction between cerebral vascular architectonics
and the latter physical mechanisms can catalyse progress in treating cerebral pathologies
such as stroke, brain tumours, dementia and targeted drug delivery. Here, we show
that brain microvascular organization is predicated on commensurate intracapillary
oxygen convection and parenchymal diffusion times. Cross-species grey matter results
for the rat, cat, rabbit and human reveal very good correlation between the cerebral
capillary and tissue mean axial oxygen convective and diffusion time intervals. These
findings agree with the constructal principle.
Type
Journal articleSubject
diffusion and convection timemammalian vascular architecture
optimal
oxygen
Animals
Cats
Cerebrovascular Circulation
Gray Matter
Humans
Models, Cardiovascular
Oxygen
Rabbits
Rats
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https://hdl.handle.net/10161/15208Published Version (Please cite this version)
10.1098/rsif.2015.0245Publication Info
Hadjistassou, Constantinos; Bejan, Adrian; & Ventikos, Yiannis (2015). Cerebral oxygenation and optimal vascular brain organization. J R Soc Interface, 12(107). 10.1098/rsif.2015.0245. Retrieved from https://hdl.handle.net/10161/15208.This is constructed from limited available data and may be imprecise. To cite this
article, please review & use the official citation provided by the journal.
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Show full item recordScholars@Duke
Adrian Bejan
J.A. Jones Distinguished Professor of Mechanical Engineering
Professor Bejan was awarded the Benjamin Franklin Medal 2018 and the Humboldt Research
Award 2019. His research covers engineering science and applied physics: thermodynamics,
heat transfer, convection, design, and evolution in nature. He is ranked among the
top 0.01% of the most cited and impactful world scientists (and top 10 in Engineering
world wide) in the 2019 citations impact database created by Stanford University’s
John Ioannidis, in <a href="https://urldefen

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