Literature DB >> 22482639

Spectral analysis of near-infrared spectroscopy signals measured from prefrontal lobe in subjects at risk for stroke.

Zengyong Li1, Ming Zhang, Qing Xin, Guoqiang Chen, Feifei Liu, Jianping Li.   

Abstract

PURPOSE: The objective of this study was to assess the spontaneous cerebral oscillations based on the wavelet transform of near-infrared spectroscopy (NIRS) signals in subjects at risk for atherosclerotic stroke.
METHODS: A total of 32 subjects were recruited from the university to participate in this study: 20 were normal subjects (age = 59.6 ± 10.2 year) and the other 12 were subjects at risk for ischemic stroke (age = 60.2 ± 10.1 year).The cerebral oxygenation signal was monitored for 10 min from the left prefrontal lobe using NIRS.
RESULTS: With spectral analysis based on wavelet transform, five frequency intervals were identified (I, 0.005-0.02 Hz; II, 0.02-0.06 Hz; III, 0.06-0.15 Hz; IV, 0.15-0.40 Hz; and V, 0.40-2.0 Hz). The amplitude of the [Hb] in the frequency intervals from I to V and of the [HbO(2)] in frequency intervals I and V in subjects at risk for stroke were found to be significantly lower compared to the amplitudes in normal subjects.
CONCLUSIONS: The reduction of spontaneous oscillations in these subjects suggests an increased stiffness in the cerebral artery. This indicates the possibility of applying spontaneous oscillations, based on the wavelet transform of NIRS signals, to assess the risk in subjects with atherosclerosis.

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Year:  2012        PMID: 22482639     DOI: 10.1118/1.3696363

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  10 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
Journal:  Neuropsychol Rev       Date:  2020-09-22       Impact factor: 7.444

2.  Age-related changes in spontaneous oscillations assessed by wavelet transform of cerebral oxygenation and arterial blood pressure signals.

Authors:  Zengyong Li; Ming Zhang; Qing Xin; Site Luo; Ruofei Cui; Weiei Zhou; Liqian Lu
Journal:  J Cereb Blood Flow Metab       Date:  2013-01-30       Impact factor: 6.200

Review 3.  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

4.  Limb linkage rehabilitation training-related changes in cortical activation and effective connectivity after stroke: A functional near-infrared spectroscopy study.

Authors:  Congcong Huo; Gongcheng Xu; Zengyong Li; Zeping Lv; Qianying Liu; Wenhao Li; Hongzhuo Ma; Daifa Wang; Yubo Fan
Journal:  Sci Rep       Date:  2019-04-17       Impact factor: 4.379

5.  Diffuse optical tomography for the detection of perinatal stroke at the cot side: a pilot study.

Authors:  Maria Chalia; Laura A Dempsey; Robert J Cooper; Chuen-Wai Lee; Adam P Gibson; Jeremy C Hebden; Topun Austin
Journal:  Pediatr Res       Date:  2019-02-13       Impact factor: 3.756

6.  Functional Connectivity Analysis and Detection of Mental Fatigue Induced by Different Tasks Using Functional Near-Infrared Spectroscopy.

Authors:  Yaoxing Peng; Chunguang Li; Qu Chen; Yufei Zhu; Lining Sun
Journal:  Front Neurosci       Date:  2022-03-15       Impact factor: 4.677

7.  Effective Connectivity in Response to Posture Changes in Elderly Subjects as Assessed Using Functional Near-Infrared Spectroscopy.

Authors:  Congcong Huo; Ming Zhang; Lingguo Bu; Gongcheng Xu; Ying Liu; Zengyong Li; Lingling Sun
Journal:  Front Hum Neurosci       Date:  2018-03-16       Impact factor: 3.169

8.  A Systemic Review of Functional Near-Infrared Spectroscopy for Stroke: Current Application and Future Directions.

Authors:  Muyue Yang; Zhen Yang; Tifei Yuan; Wuwei Feng; Pu Wang
Journal:  Front Neurol       Date:  2019-02-05       Impact factor: 4.003

9.  Differences in Net Information Flow and Dynamic Connectivity Metrics Between Physically Active and Inactive Subjects Measured by Functional Near-Infrared Spectroscopy (fNIRS) During a Fatiguing Handgrip Task.

Authors:  Elizabeth L Urquhart; Xinlong Wang; Hanli Liu; Paul J Fadel; George Alexandrakis
Journal:  Front Neurosci       Date:  2020-03-10       Impact factor: 4.677

10.  Evaluation of fNIRS signal components elicited by cognitive and hypercapnic stimuli.

Authors:  Meltem Izzetoglu; Patricia A Shewokis; Kurtulus Izzetoglu; Pratusha Reddy; Michael Sangobowale; Ramon Diaz-Arrastia
Journal:  Sci Rep       Date:  2021-12-06       Impact factor: 4.379

  10 in total

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