Literature DB >> 12900178

The critical closing pressure of the cerebral circulation.

R B Panerai1.   

Abstract

The critical closing pressure (CrCP) of the cerebral circulation indicates the value of arterial blood pressure (ABP) at which cerebral blood flow (CBF) approaches zero. Measurements in animals and in humans, have shown that the CrCP is significantly greater than zero. A simple mathematical model, incorporating the effects of arterial elasticity and active wall tension, shows that CrCP can be influenced by several structural and physiological parameters, notably intracranial pressure (ICP) and active wall tension. Due to the non-linear shape of the complete ABP-CBF curve, most methods proposed for estimation of CrCP can only represent the linear range of the pressure-flow (or velocity) relationship. As a consequence, only estimates of apparent CrCP can be obtained, and these tend to be significantly higher than the true CrCP. Estimates of apparent CrCP have been shown to be influenced by arterial PCO2, ICP, cerebral autoregulation, intra-thoracic pressure, and mean ABP. There is a lack of investigation, under well-controlled conditions, to assess whether CrCP is altered in disease states. Studies of the cerebral circulation need to take CrCP into account, to obtain more accurate estimates of cerebrovascular resistance changes, and to reflect the correct dynamic relationship between instantaneous ABP and CBF.

Entities:  

Mesh:

Year:  2003        PMID: 12900178     DOI: 10.1016/s1350-4533(03)00027-4

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  62 in total

1.  Pressure modulation algorithm to separate cerebral hemodynamic signals from extracerebral artifacts.

Authors:  Wesley B Baker; Ashwin B Parthasarathy; Tiffany S Ko; David R Busch; Kenneth Abramson; Shih-Yu Tzeng; Rickson C Mesquita; Turgut Durduran; Joel H Greenberg; David K Kung; Arjun G Yodh
Journal:  Neurophotonics       Date:  2015-08-04       Impact factor: 3.593

2.  Carbon dioxide induced changes in cerebral blood flow and flow velocity: role of cerebrovascular resistance and effective cerebral perfusion pressure.

Authors:  Frank Grüne; Stephan Kazmaier; Robert J Stolker; Gerhard H Visser; Andreas Weyland
Journal:  J Cereb Blood Flow Metab       Date:  2015-04-15       Impact factor: 6.200

Review 3.  Applications of transcranial Doppler in the ICU: a review.

Authors:  Hayden White; Balasubramanian Venkatesh
Journal:  Intensive Care Med       Date:  2006-05-10       Impact factor: 17.440

Review 4.  Transcranial Doppler for evaluation of cerebral autoregulation.

Authors:  Ronney B Panerai
Journal:  Clin Auton Res       Date:  2009-04-16       Impact factor: 4.435

Review 5.  Model-based indices describing cerebrovascular dynamics.

Authors:  Georgios V Varsos; Magdalena Kasprowicz; Peter Smielewski; Marek Czosnyka
Journal:  Neurocrit Care       Date:  2014-02       Impact factor: 3.210

6.  Dynamic cerebral autoregulation: different signal processing methods without influence on results and reproducibility.

Authors:  Erik D Gommer; Eri Shijaku; Werner H Mess; Jos P H Reulen
Journal:  Med Biol Eng Comput       Date:  2010-11-04       Impact factor: 2.602

7.  An extended model of intracranial latency facilitates non-invasive detection of cerebrovascular changes.

Authors:  Shadnaz Asgari; Andrew W Subudhi; Robert C Roach; David S Liebeskind; Marvin Bergsneider; Xiao Hu
Journal:  J Neurosci Methods       Date:  2011-02-15       Impact factor: 2.390

Review 8.  Decompressive craniectomy and head injury: brain morphometry, ICP, cerebral hemodynamics, cerebral microvascular reactivity, and neurochemistry.

Authors:  Edson Bor-Seng-Shu; Eberval G Figueiredo; Erich Talamoni Fonoff; Yasunori Fujimoto; Ronney B Panerai; Manoel Jacobsen Teixeira
Journal:  Neurosurg Rev       Date:  2013-02-06       Impact factor: 3.042

Review 9.  Multimodal brain monitoring in fulminant hepatic failure.

Authors:  Fernando Mendes Paschoal; Ricardo Carvalho Nogueira; Karla De Almeida Lins Ronconi; Marcelo de Lima Oliveira; Manoel Jacobsen Teixeira; Edson Bor-Seng-Shu
Journal:  World J Hepatol       Date:  2016-08-08

10.  Inferring cerebrovascular changes from latencies of systemic and intracranial pulses: a model-based latency subtraction algorithm.

Authors:  Xiao Hu; Andrew W Subudhi; Peng Xu; Shadnaz Asgari; Robert C Roach; Marvin Bergsneider
Journal:  J Cereb Blood Flow Metab       Date:  2009-01-14       Impact factor: 6.200

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.