Applying time-frequency analysis to assess cerebral autoregulation during hypercapnia.

Classic methods for assessing cerebral autoregulation involve a transfer function analysis performed using the Fourier transform to quantify relationship between fluctuations in arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV). This approach usually assumes the signals and the s...

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Main Authors: Michał M Placek, Paweł Wachel, D Robert Iskander, Peter Smielewski, Agnieszka Uryga, Arkadiusz Mielczarek, Tomasz A Szczepański, Magdalena Kasprowicz
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2017-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC5531479?pdf=render
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spelling doaj-151da2e23996417bb7ebdab755fec7ac2020-11-25T01:35:14ZengPublic Library of Science (PLoS)PLoS ONE1932-62032017-01-01127e018185110.1371/journal.pone.0181851Applying time-frequency analysis to assess cerebral autoregulation during hypercapnia.Michał M PlacekPaweł WachelD Robert IskanderPeter SmielewskiAgnieszka UrygaArkadiusz MielczarekTomasz A SzczepańskiMagdalena KasprowiczClassic methods for assessing cerebral autoregulation involve a transfer function analysis performed using the Fourier transform to quantify relationship between fluctuations in arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV). This approach usually assumes the signals and the system to be stationary. Such an presumption is restrictive and may lead to unreliable results. The aim of this study is to present an alternative method that accounts for intrinsic non-stationarity of cerebral autoregulation and the signals used for its assessment.Continuous recording of CBFV, ABP, ECG, and end-tidal CO2 were performed in 50 young volunteers during normocapnia and hypercapnia. Hypercapnia served as a surrogate of the cerebral autoregulation impairment. Fluctuations in ABP, CBFV, and phase shift between them were tested for stationarity using sphericity based test. The Zhao-Atlas-Marks distribution was utilized to estimate the time-frequency coherence (TFCoh) and phase shift (TFPS) between ABP and CBFV in three frequency ranges: 0.02-0.07 Hz (VLF), 0.07-0.20 Hz (LF), and 0.20-0.35 Hz (HF). TFPS was estimated in regions locally validated by statistically justified value of TFCoh. The comparison of TFPS with spectral phase shift determined using transfer function approach was performed.The hypothesis of stationarity for ABP and CBFV fluctuations and the phase shift was rejected. Reduced TFPS was associated with hypercapnia in the VLF and the LF but not in the HF. Spectral phase shift was also decreased during hypercapnia in the VLF and the LF but increased in the HF. Time-frequency method led to lower dispersion of phase estimates than the spectral method, mainly during normocapnia in the VLF and the LF.The time-frequency method performed no worse than the classic one and yet may offer benefits from lower dispersion of phase shift as well as a more in-depth insight into the dynamic nature of cerebral autoregulation.http://europepmc.org/articles/PMC5531479?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Michał M Placek
Paweł Wachel
D Robert Iskander
Peter Smielewski
Agnieszka Uryga
Arkadiusz Mielczarek
Tomasz A Szczepański
Magdalena Kasprowicz
spellingShingle Michał M Placek
Paweł Wachel
D Robert Iskander
Peter Smielewski
Agnieszka Uryga
Arkadiusz Mielczarek
Tomasz A Szczepański
Magdalena Kasprowicz
Applying time-frequency analysis to assess cerebral autoregulation during hypercapnia.
PLoS ONE
author_facet Michał M Placek
Paweł Wachel
D Robert Iskander
Peter Smielewski
Agnieszka Uryga
Arkadiusz Mielczarek
Tomasz A Szczepański
Magdalena Kasprowicz
author_sort Michał M Placek
title Applying time-frequency analysis to assess cerebral autoregulation during hypercapnia.
title_short Applying time-frequency analysis to assess cerebral autoregulation during hypercapnia.
title_full Applying time-frequency analysis to assess cerebral autoregulation during hypercapnia.
title_fullStr Applying time-frequency analysis to assess cerebral autoregulation during hypercapnia.
title_full_unstemmed Applying time-frequency analysis to assess cerebral autoregulation during hypercapnia.
title_sort applying time-frequency analysis to assess cerebral autoregulation during hypercapnia.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2017-01-01
description Classic methods for assessing cerebral autoregulation involve a transfer function analysis performed using the Fourier transform to quantify relationship between fluctuations in arterial blood pressure (ABP) and cerebral blood flow velocity (CBFV). This approach usually assumes the signals and the system to be stationary. Such an presumption is restrictive and may lead to unreliable results. The aim of this study is to present an alternative method that accounts for intrinsic non-stationarity of cerebral autoregulation and the signals used for its assessment.Continuous recording of CBFV, ABP, ECG, and end-tidal CO2 were performed in 50 young volunteers during normocapnia and hypercapnia. Hypercapnia served as a surrogate of the cerebral autoregulation impairment. Fluctuations in ABP, CBFV, and phase shift between them were tested for stationarity using sphericity based test. The Zhao-Atlas-Marks distribution was utilized to estimate the time-frequency coherence (TFCoh) and phase shift (TFPS) between ABP and CBFV in three frequency ranges: 0.02-0.07 Hz (VLF), 0.07-0.20 Hz (LF), and 0.20-0.35 Hz (HF). TFPS was estimated in regions locally validated by statistically justified value of TFCoh. The comparison of TFPS with spectral phase shift determined using transfer function approach was performed.The hypothesis of stationarity for ABP and CBFV fluctuations and the phase shift was rejected. Reduced TFPS was associated with hypercapnia in the VLF and the LF but not in the HF. Spectral phase shift was also decreased during hypercapnia in the VLF and the LF but increased in the HF. Time-frequency method led to lower dispersion of phase estimates than the spectral method, mainly during normocapnia in the VLF and the LF.The time-frequency method performed no worse than the classic one and yet may offer benefits from lower dispersion of phase shift as well as a more in-depth insight into the dynamic nature of cerebral autoregulation.
url http://europepmc.org/articles/PMC5531479?pdf=render
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