Literature DB >> 25453742

Cerebral autoregulation in response to posture change in elderly subjects-assessment by wavelet phase coherence analysis of cerebral tissue oxyhemoglobin concentrations and arterial blood pressure signals.

Yuanjin Gao1, Ming Zhang2, Qingyu Han1, Wenhao Li1, Qing Xin3, Yan Wang2, Zengyong Li4.   

Abstract

This study aims to assess the dynamic cerebral autoregulation (dCA) in response to posture change using wavelet phase coherence (WPCO) of cerebral tissue oxyhemoglobin concentrations (Delta [HbO2]) and arterial blood pressure (ABP) signals in healthy elderly subjects. Continuous recordings of near-infrared spectroscopy (NIRS) and ABP signals were obtained from simultaneous measurements in 16 healthy elderly subjects (age: 68.9±7.1 years) and 19 young subjects (age: 24.9±3.2 years). The phase coherence between Delta [HbO2] and ABP oscillations in six frequency intervals (I, 0.6-2 Hz; II, 0.15-0.6 Hz; III, 0.05-0.15 Hz; IV, 0.02-0.05 Hz, V, 0.0095-0.02 Hz and VI, 0.005-0.0095 Hz) was analyzed using WPCO. The sit-to-stand posture change induces significantly lower WPCO in interval III (F=5.50 p=0.025) in the elderly subjects than in the young subjects. However, the stand-to-sit posture change induces higher WPCO in intervals II (F=5.25 p=0.028) and V (F=6.22 p=0.018) in the elderly subjects than in the young subjects. The difference of WPCO in response to posture change between the elderly and the young subjects indicates an altered CA due to aging. This study provides new insight into the dynamics of CA and may be useful in identifying the risk for dCA processes.
Copyright © 2014 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Aging; Cerebral tissue oxygenation; Near-infrared spectroscopy; Spontaneous oscillations; Wavelet phase coherence

Mesh:

Substances:

Year:  2014        PMID: 25453742     DOI: 10.1016/j.bbr.2014.10.019

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  11 in total

Review 1.  A Systematic Review of the Application of Functional Near-Infrared Spectroscopy to the Study of Cerebral Hemodynamics in Healthy Aging.

Authors:  Michael K Yeung; Agnes S Chan
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2.  Cerebral autoregulation assessed by near-infrared spectroscopy: validation using transcranial Doppler in patients with controlled hypertension, cognitive impairment and controls.

Authors:  Arjen Mol; Carel G M Meskers; Marit L Sanders; Martin Müller; Andrea B Maier; Richard J A van Wezel; Jurgen A H R Claassen; Jan Willem J Elting
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3.  Comparing the effect of positioning on cerebral autoregulation during radical prostatectomy: a prospective observational study.

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Journal:  J Clin Monit Comput       Date:  2020-06-20       Impact factor: 2.502

4.  Non-ionizing radiofrequency electromagnetic waves traversing the head can be used to detect cerebrovascular autoregulation responses.

Authors:  M Oziel; M Hjouj; C A Gonzalez; J Lavee; B Rubinsky
Journal:  Sci Rep       Date:  2016-02-22       Impact factor: 4.379

5.  Functional connectivity analysis of distracted drivers based on the wavelet phase coherence of functional near-infrared spectroscopy signals.

Authors:  Gongcheng Xu; Ming Zhang; Yan Wang; Zhian Liu; Congcong Huo; Zengyong Li; Mengyou Huo
Journal:  PLoS One       Date:  2017-11-27       Impact factor: 3.240

6.  Dynamic cerebral autoregulation is preserved during isometric handgrip and head-down tilt in healthy volunteers.

Authors:  Maria Skytioti; Signe Søvik; Maja Elstad
Journal:  Physiol Rep       Date:  2018-03

7.  Alterations in the coupling functions between cerebral oxyhaemoglobin and arterial blood pressure signals in post-stroke subjects.

Authors:  Honglun Su; Congcong Huo; Bitian Wang; Wenhao Li; Gongcheng Xu; Qianying Liu; Zengyong Li
Journal:  PLoS One       Date:  2018-04-18       Impact factor: 3.240

Review 8.  Assessing low-frequency oscillations in cerebrovascular diseases and related conditions with near-infrared spectroscopy: a plausible method for evaluating cerebral autoregulation?

Authors:  Adam Vittrup Andersen; Sofie Amalie Simonsen; Henrik Winther Schytz; Helle Klingenberg Iversen
Journal:  Neurophotonics       Date:  2018-09-18       Impact factor: 3.593

9.  Correlation Between Gait and Near-Infrared Brain Functional Connectivity Under Cognitive Tasks in Elderly Subjects With Mild Cognitive Impairment.

Authors:  Ying Liu; Congcong Huo; Kuan Lu; Qianying Liu; Gongcheng Xu; Run Ji; Tengyu Zhang; Pan Shang; Zeping Lv; Zengyong Li
Journal:  Front Aging Neurosci       Date:  2021-06-11       Impact factor: 5.750

10.  Vigilance Task-Related Change in Brain Functional Connectivity as Revealed by Wavelet Phase Coherence Analysis of Near-Infrared Spectroscopy Signals.

Authors:  Wei Wang; Bitian Wang; Lingguo Bu; Liwei Xu; Zengyong Li; Yubo Fan
Journal:  Front Hum Neurosci       Date:  2016-08-05       Impact factor: 3.169

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