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Regulation of Cerebral Blood Flow

Overview of attention for article published in International Journal of Vascular Medicine, July 2011
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461 Mendeley
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2 CiteULike
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Article details
Title
Regulation of Cerebral Blood Flow
Published in
International Journal of Vascular Medicine, July 2011
DOI 10.1155/2011/823525
Pubmed ID
Authors

Eric C. Peterson, Zhengfeng Wang, Gavin Britz

Abstract

The control of cerebral blood flow is complex, and only beginning to be elucidated. Studies have identified three key regulatory paradigms. The first is cerebral pressure autoregulation, which maintains a constant flow in the face of changing cerebral perfusion pressure. Flow-metabolism coupling refers to the brains ability to vary blood flow to match metabolic activity. An extensive arborization of perivascular nerves also serves to modulate cerebral blood flow, so-called neurogenic regulation. Central to these three paradigms are two cell types: endothelium and astrocytes. The endothelium produces several vasoactive factors that are germane to the regulation of cerebral blood flow: nitric oxide, endothelium-dependent hyperpolarization factor, the eicosanoids, and the endothelins. Astrocytic foot processes directly abut the blood vessels, and play a key role in regulation of cerebral blood flow. Lastly, new research has been investigating cell-cell communication at the microvascular level. Several lines of evidence point to the ability of the larger proximal vessels to coordinate vasomotor responses downstream.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 461 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Netherlands 4 <1%
United Kingdom 4 <1%
France 3 <1%
Canada 3 <1%
Turkey 2 <1%
Spain 2 <1%
Denmark 2 <1%
South Africa 1 <1%
Malaysia 1 <1%
Other 2 <1%
Unknown 437 95%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 74 16%
Student > Master 69 15%
Researcher 58 13%
Student > Bachelor 51 11%
Student > Postgraduate 32 7%
Other 81 18%
Unknown 96 21%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 147 32%
Neuroscience 55 12%
Agricultural and Biological Sciences 37 8%
Engineering 34 7%
Physics and Astronomy 16 3%
Other 66 14%
Unknown 106 23%