Literature DB >> 17413049

Asymmetric dynamic cerebral autoregulatory response to cyclic stimuli.

Rune Aaslid1, Martin Blaha, Gill Sviri, Colleen M Douville, David W Newell.   

Abstract

BACKGROUND AND
PURPOSE: Dynamic cerebral autoregulation has been shown to be fast and effective, but it is not well known if the mechanism is symmetric, that is to say, it acts with equal compensatory action to upward as compared with downward abrupt changes in arterial blood pressure (ABP).
METHODS: Fourteen patients with head injuries and 10 normal subjects had bilateral transcranial Doppler and continuous ABP recording. Cyclic ABP stimuli were generated by large thigh cuffs, which were rapidly inflated above systolic pressure for 15 seconds alternating with 15 seconds of deflation. At least 8 such cycles were ensemble-averaged and the dynamic autoregulatory gain (AG(up) and AG(dn)) was estimated separately for upward and downward changes in ABP. The results were compared with the autoregulation index using conventional leg cuff releases.
RESULTS: In normal subjects, AG(dn) was 0.74+/-0.18 and AG(up) was 0.77+/-0.17 (mean+/-SD); the difference was insignificant. The correlation between AG(dn) and AG(up), however, was weak (r=0.24). In the patients with head injury, AG(dn) was 0.30+/-0.21 and AG(up) was 1.27+/-0.76, the difference being highly significant (P<0.001). There was a negative relationship between AG(dn) and AG(up) (r=-0.33). Autoregulation index correlated well with AG(dn) (r=0.79) and weakly negatively with AG(up) (r=-0.47).
CONCLUSIONS: A strongly asymmetric dynamic response of the cerebral autoregulation was seen the majority of patients with head injury. It might also have been present, albeit to a lesser degree, in the normal subjects. The findings suggest that nonlinear effects may be present in the operation of the cerebral autoregulation mechanism.

Entities:  

Mesh:

Year:  2007        PMID: 17413049     DOI: 10.1161/STROKEAHA.106.473462

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  37 in total

1.  Dynamic cerebral autoregulation during repeated squat-stand maneuvers.

Authors:  Jurgen A H R Claassen; Benjamin D Levine; Rong Zhang
Journal:  J Appl Physiol (1985)       Date:  2008-10-30

2.  Coherent hemodynamics spectroscopy in a single step.

Authors:  Jana M Kainerstorfer; Angelo Sassaroli; Sergio Fantini
Journal:  Biomed Opt Express       Date:  2014-09-04       Impact factor: 3.732

3.  Cerebral autoregulation in the microvasculature measured with near-infrared spectroscopy.

Authors:  Jana M Kainerstorfer; Angelo Sassaroli; Kristen T Tgavalekos; Sergio Fantini
Journal:  J Cereb Blood Flow Metab       Date:  2015-02-11       Impact factor: 6.200

4.  Depth dependence of coherent hemodynamics in the human head.

Authors:  Kosar Khaksari; Giles Blaney; Angelo Sassaroli; Nishanth Krishnamurthy; Thao Pham; Sergio Fantini
Journal:  J Biomed Opt       Date:  2018-11       Impact factor: 3.170

5.  Revisiting human cerebral blood flow responses to augmented blood pressure oscillations.

Authors:  J W Hamner; Keita Ishibashi; Can Ozan Tan
Journal:  J Physiol       Date:  2019-01-31       Impact factor: 5.182

6.  Improving Understanding and Outcomes of Traumatic Brain Injury Using Bidirectional Translational Research.

Authors:  William M Armstead; Monica S Vavilala
Journal:  J Neurotrauma       Date:  2019-06-13       Impact factor: 5.269

Review 7.  Translational approach towards determining the role of cerebral autoregulation in outcome after traumatic brain injury.

Authors:  William M Armstead; Monica S Vavilala
Journal:  Exp Neurol       Date:  2019-03-27       Impact factor: 5.330

Review 8.  Integrative physiological and computational approaches to understand autonomic control of cerebral autoregulation.

Authors:  Can Ozan Tan; J Andrew Taylor
Journal:  Exp Physiol       Date:  2013-10-04       Impact factor: 2.969

Review 9.  Cerebral Blood Flow Autoregulation and Dysautoregulation.

Authors:  William M Armstead
Journal:  Anesthesiol Clin       Date:  2016-09

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.