| 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
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 | 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 | 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% |