The DOI matches its Crossref record.
Regulation of large cerebral arteries and cerebral microvascular pressure.
Abstract
Resistance of large arteries appears to be greater in the cerebral circulation than in other vascular beds. Large arteries contribute importantly to total cerebral vascular resistance and are major determinants of local microvascular pressure. Recent studies have shown that resistance of large arteries and cerebral microvascular pressure are affected by several physiological stimuli, including changes in systemic blood pressure, increases in cerebral metabolism, activity of sympathetic nerves, and humoral stimuli such as circulating vasopressin and angiotensin. Stimuli such as sympathetic stimulation and vasopressin produce selective responses of large arteries and, thereby, regulate microvascular pressure without a significant change in cerebral blood flow. These findings lead to the new hypothesis that the brain may be sensitive to changes in cerebral microvascular pressure, resulting in activation of compensatory neurohumoral mechanisms. Important changes occur in large cerebral arteries under pathophysiological conditions. Chronic hypertension increases resistance of large cerebral arteries, which protects the microcirculation against hypertension. Atherosclerosis potentiates constrictor responses of large cerebral arteries to serotonin and thromboxane, which may contribute to vasospasm and transient ischemic attacks.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
O’Rourke, M. F., & Safar, M. E. (2005) · Hypertension · doi:10.1161/01.hyp.0000168052.00426.65 · Cited by 1,279
Pathogenesis of Leukoaraiosis: A Review
Pantoni, L., & Garcia, J. H. (1997) · Stroke · doi:10.1161/01.str.28.3.652 · Cited by 1,225
Glial regulation of the cerebral microvasculature
Iadecola, C., & Nedergaard, M. (2007) · Nature Neuroscience · doi:10.1038/nn2003 · Cited by 1,153
Midlife blood pressure and dementia: the Honolulu–Asia aging study☆
Launer, L. J., Ross, G. W., Petrovitch, H., Masaki, K., Foley, D., White, L. R., & Havlik, R. J. (2000) · Neurobiology of Aging · doi:10.1016/s0197-4580(00)00096-8 · Cited by 1,008
Hypertension and Cerebrovascular Dysfunction
Iadecola, C., & Davisson, R. L. (2008) · Cell Metabolism · doi:10.1016/j.cmet.2008.03.010 · Cited by 557
Toth, P., Tarantini, S., Csiszar, A., & Ungvari, Z. (2017) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00581.2016 · Cited by 522
Role of Astrocytes in Neurovascular Coupling
Petzold, G. C., & Murthy, V. N. (2011) · Neuron · doi:10.1016/j.neuron.2011.08.009 · Cited by 409
The NIH Cognitive and Emotional Health Project: Report of the Critical Evaluation Study Committee
Hendrie, H. C., Albert, M. S., Butters, M. A., Gao, S., Knopman, D. S., Launer, L. J., Yaffe, K., Cuthbert, B. N., Edwards, E., & Wagster, M. V. (2006) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2005.11.004 · Cited by 323
Impaired Glymphatic Transport in Spontaneously Hypertensive Rats
Mortensen, K. N., Sanggaard, S., Mestre, H., Lee, H., Kostrikov, S., Xavier, A. L. R., Gjedde, A., Benveniste, H., & Nedergaard, M. (2019) · The Journal of Neuroscience · doi:10.1523/jneurosci.1974-18.2019 · Cited by 266
Protecting against vascular disease in brain
Faraci, F. M. (2011) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.01310.2010 · Cited by 196
Self-citationZhang, R., Zuckerman, J. H., & Levine, B. D. (1998) · Journal of Applied Physiology · doi:10.1152/jappl.1998.85.3.1113 · Cited by 161
Brain Renin–Angiotensin System at the Intersect of Physical and Cognitive Frailty
Cosarderelioglu, C., Nidadavolu, L. S., George, C. J., Oh, E. S., Bennett, D. A., Walston, J. D., & Abadir, P. M. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.586314 · Cited by 134
Role of oxidative stress and AT1 receptors in cerebral vascular dysfunction with aging
Modrick, M. L., Didion, S. P., Sigmund, C. D., & Faraci, F. M. (2009) · American Journal of Physiology-Heart and Circulatory Physiology · doi:10.1152/ajpheart.00300.2009 · Cited by 108
Self-citationHuber, G., Ogrodnik, M., Wenzel, J., Stölting, I., Huber, L., Will, O., Peschke, E., Matschl, U., Hövener, J.-B., Schwaninger, M., et al. (2021) · Journal of Cerebral Blood Flow & Metabolism · doi:10.1177/0271678x211003497 · Cited by 28
Metadata
- Authors
- Faraci, F. M., & Heistad, D. D.
- Venue
- Circulation Research
- Published
- 1990-01
- Volume
- 66
- Issue
- 1
- Pages
- 8-17
- ISSN
- 0009-7330 (ISSN-L)
- 1524-4571
- OpenAlex
- W2118411978
- Cited by
- 608
- References
- 0
- FWCI
- 13.11
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.