Literature DB >> 29311754

Correlation between Cerebral Hemodynamic and Perfusion Pressure Changes in Non-Human Primates.

A Ruesch1, M A Smith2, G Wollstein3, I A Sigal2, S Nelson2, J M Kainerstorfer1.   

Abstract

The mechanism that maintains a stable blood flow in the brain despite changes in cerebral perfusion pressure (CPP), and therefore guaranties a constant supply of oxygen and nutrients to the neurons, is known as cerebral autoregulation (CA). In a certain range of CPP, blood flow is mediated by a vasomotor adjustment in vascular resistance through dilation of blood vessels. CA is known to be impaired in diseases like traumatic brain injury, Parkinson's disease, stroke, hydrocephalus and others. If CA is impaired, blood flow and pressure changes are coupled and the oxygen supply might be unstable. Lassen's blood flow autoregulation curve describes this mechanism, where a plateau of stable blood flow in a specific range of CPP corresponds to intact autoregulation. Knowing the limits of this plateau and maintaining CPP within these limits can improve patient outcome. Since CPP is influenced by both intracranial pressure and arterial blood pressure, long term changes in either can lead to autoregulation impairment. Non-invasive methods for monitoring blood flow autoregulation are therefore needed. We propose to use Near infrared spectroscopy (NIRS) to fill this need. NIRS is an optical technique, which measures microvascular changes in cerebral hemoglobin concentration. We pe erformed experiments on non-human primates during exsanguination to demonstrate that the limits of blood flow autoregulation can be accessed with NIRS.

Entities:  

Keywords:  Autoregulation; Blood flow; Brain; Hypotension; NIRS; Near Infrared Spectroscopy

Year:  2017        PMID: 29311754      PMCID: PMC5755600          DOI: 10.1117/12.2252550

Source DB:  PubMed          Journal:  Proc SPIE Int Soc Opt Eng        ISSN: 0277-786X


  11 in total

1.  Cerebral blood flow and oxygen consumption in man.

Authors:  N A LASSEN
Journal:  Physiol Rev       Date:  1959-04       Impact factor: 37.312

2.  Is cerebral autoregulation impaired in Parkinson's disease? A transcranial Doppler study.

Authors:  N Vokatch; H Grötzsch; B Mermillod; P R Burkhard; R Sztajzel
Journal:  J Neurol Sci       Date:  2007-02-02       Impact factor: 3.181

3.  Dynamic cerebral autoregulation and beat to beat blood pressure control are impaired in acute ischaemic stroke.

Authors:  P J Eames; M J Blake; S L Dawson; R B Panerai; J F Potter
Journal:  J Neurol Neurosurg Psychiatry       Date:  2002-04       Impact factor: 10.154

Review 4.  Cerebral Perfusion Pressure Targets Individualized to Pressure-Reactivity Index in Moderate to Severe Traumatic Brain Injury: A Systematic Review.

Authors:  Edward Needham; Charles McFadyen; Virginia Newcombe; Anneliese J Synnot; Marek Czosnyka; David Menon
Journal:  J Neurotrauma       Date:  2016-06-27       Impact factor: 5.269

Review 5.  Assessment of cerebral pressure autoregulation in humans--a review of measurement methods.

Authors:  R B Panerai
Journal:  Physiol Meas       Date:  1998-08       Impact factor: 2.833

6.  Dynamic model for the tissue concentration and oxygen saturation of hemoglobin in relation to blood volume, flow velocity, and oxygen consumption: Implications for functional neuroimaging and coherent hemodynamics spectroscopy (CHS).

Authors:  Sergio Fantini
Journal:  Neuroimage       Date:  2013-04-10       Impact factor: 6.556

7.  Static autoregulation in humans: a review and reanalysis.

Authors:  Tianne Numan; Anthony R Bain; Ryan L Hoiland; Jonathan D Smirl; Nia C Lewis; Philip N Ainslie
Journal:  Med Eng Phys       Date:  2014-09-07       Impact factor: 2.242

8.  Pattern of white matter regional cerebral blood flow and autoregulation in normal pressure hydrocephalus.

Authors:  Shahan Momjian; Brian K Owler; Zofia Czosnyka; Marek Czosnyka; Alonso Pena; John D Pickard
Journal:  Brain       Date:  2004-03-19       Impact factor: 13.501

9.  Continuous time-domain analysis of cerebrovascular autoregulation using near-infrared spectroscopy.

Authors:  Ken M Brady; Jennifer K Lee; Kathleen K Kibler; Piotr Smielewski; Marek Czosnyka; R Blaine Easley; Raymond C Koehler; Donald H Shaffner
Journal:  Stroke       Date:  2007-08-30       Impact factor: 7.914

10.  Practical steps for applying a new dynamic model to near-infrared spectroscopy measurements of hemodynamic oscillations and transient changes: implications for cerebrovascular and functional brain studies.

Authors:  Jana M Kainerstorfer; Angelo Sassaroli; Bertan Hallacoglu; Michele L Pierro; Sergio Fantini
Journal:  Acad Radiol       Date:  2014-02       Impact factor: 3.173

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