Frequency domain analysis of cerebral blood flow velocity and its correlation with arterial blood pressure

Terry Bo Jau Kuo, Chang Ming Chern, Wen Yung Sheng, Wen Jang Wong, Han Hwa Hu

Research output: Contribution to journalArticle

115 Citations (Scopus)

Abstract

We applied frequency domain analysis to detect and quantify spontaneous fluctuations in the blood flow velocity of the middle cerebral artery (MCAFV). Instantaneous MCAFV of normal volunteers was detected using transcranial Doppler sonography. Spectral and transfer function analyses of MCAFV and arterial blood pressure (ABP) were performed by fast Fourier transform. We found the fluctuations in MCAFV, like ABP, could be diffracted into three components at specific frequency ranges, designated as high- frequency (HF, 0.15 to 0.4 Hz), low-frequency (LF, 0.04 to 0.15 Hz), and very low-frequency (VLF, 0.016 to 0.04 Hz) components. The HF and LF components of MCAFV exhibited high coherence with those of ABP, indicating great similarity of MCAFV and ABP fluctuations within the two frequency ranges. However, it was not the case for the VLF component. Transfer function analysis revealed that the ABP-MCAFV phase angle was frequency-dependent in the LF range (r = - 0.79, P < 0.001) but not in the HF range. The time delay between LF fluctuations of ABP and those of MCAFV was evaluated as 2.1 seconds. We conclude that in addition to traditional B-wave equivalents, there are at least two different mechanisms for MCAFV fluctuations: the HF and LF fluctuations of MCAFV are basically secondary to those of ABP, and cerebral autoregulation may operate efficiently in LF rather than HF range. Frequency domain analysis offers an opportunity to explore the nature and underlying mechanism of dynamic regulation in cerebral circulation.

Original languageEnglish
Pages (from-to)311-318
Number of pages8
JournalJournal of Cerebral Blood Flow and Metabolism
Volume18
Issue number3
Publication statusPublished - Mar 1998
Externally publishedYes

Fingerprint

Cerebrovascular Circulation
Blood Flow Velocity
Arterial Pressure
Doppler Transcranial Ultrasonography
Middle Cerebral Artery
Fourier Analysis
Healthy Volunteers
Homeostasis

Keywords

  • Cerebral blood flow
  • Frequency domain analysis
  • Middle cerebral artery
  • Power spectral analysis
  • Transcranial Doppler sonography
  • Transfer function analysis

ASJC Scopus subject areas

  • Neurology
  • Clinical Neurology
  • Cardiology and Cardiovascular Medicine

Cite this

Frequency domain analysis of cerebral blood flow velocity and its correlation with arterial blood pressure. / Kuo, Terry Bo Jau; Chern, Chang Ming; Sheng, Wen Yung; Wong, Wen Jang; Hu, Han Hwa.

In: Journal of Cerebral Blood Flow and Metabolism, Vol. 18, No. 3, 03.1998, p. 311-318.

Research output: Contribution to journalArticle

@article{8a11197b51684d5888799dcaff705f3f,
title = "Frequency domain analysis of cerebral blood flow velocity and its correlation with arterial blood pressure",
abstract = "We applied frequency domain analysis to detect and quantify spontaneous fluctuations in the blood flow velocity of the middle cerebral artery (MCAFV). Instantaneous MCAFV of normal volunteers was detected using transcranial Doppler sonography. Spectral and transfer function analyses of MCAFV and arterial blood pressure (ABP) were performed by fast Fourier transform. We found the fluctuations in MCAFV, like ABP, could be diffracted into three components at specific frequency ranges, designated as high- frequency (HF, 0.15 to 0.4 Hz), low-frequency (LF, 0.04 to 0.15 Hz), and very low-frequency (VLF, 0.016 to 0.04 Hz) components. The HF and LF components of MCAFV exhibited high coherence with those of ABP, indicating great similarity of MCAFV and ABP fluctuations within the two frequency ranges. However, it was not the case for the VLF component. Transfer function analysis revealed that the ABP-MCAFV phase angle was frequency-dependent in the LF range (r = - 0.79, P < 0.001) but not in the HF range. The time delay between LF fluctuations of ABP and those of MCAFV was evaluated as 2.1 seconds. We conclude that in addition to traditional B-wave equivalents, there are at least two different mechanisms for MCAFV fluctuations: the HF and LF fluctuations of MCAFV are basically secondary to those of ABP, and cerebral autoregulation may operate efficiently in LF rather than HF range. Frequency domain analysis offers an opportunity to explore the nature and underlying mechanism of dynamic regulation in cerebral circulation.",
keywords = "Cerebral blood flow, Frequency domain analysis, Middle cerebral artery, Power spectral analysis, Transcranial Doppler sonography, Transfer function analysis",
author = "Kuo, {Terry Bo Jau} and Chern, {Chang Ming} and Sheng, {Wen Yung} and Wong, {Wen Jang} and Hu, {Han Hwa}",
year = "1998",
month = "3",
language = "English",
volume = "18",
pages = "311--318",
journal = "Journal of Cerebral Blood Flow and Metabolism",
issn = "0271-678X",
publisher = "Nature Publishing Group",
number = "3",

}

TY - JOUR

T1 - Frequency domain analysis of cerebral blood flow velocity and its correlation with arterial blood pressure

AU - Kuo, Terry Bo Jau

AU - Chern, Chang Ming

AU - Sheng, Wen Yung

AU - Wong, Wen Jang

AU - Hu, Han Hwa

PY - 1998/3

Y1 - 1998/3

N2 - We applied frequency domain analysis to detect and quantify spontaneous fluctuations in the blood flow velocity of the middle cerebral artery (MCAFV). Instantaneous MCAFV of normal volunteers was detected using transcranial Doppler sonography. Spectral and transfer function analyses of MCAFV and arterial blood pressure (ABP) were performed by fast Fourier transform. We found the fluctuations in MCAFV, like ABP, could be diffracted into three components at specific frequency ranges, designated as high- frequency (HF, 0.15 to 0.4 Hz), low-frequency (LF, 0.04 to 0.15 Hz), and very low-frequency (VLF, 0.016 to 0.04 Hz) components. The HF and LF components of MCAFV exhibited high coherence with those of ABP, indicating great similarity of MCAFV and ABP fluctuations within the two frequency ranges. However, it was not the case for the VLF component. Transfer function analysis revealed that the ABP-MCAFV phase angle was frequency-dependent in the LF range (r = - 0.79, P < 0.001) but not in the HF range. The time delay between LF fluctuations of ABP and those of MCAFV was evaluated as 2.1 seconds. We conclude that in addition to traditional B-wave equivalents, there are at least two different mechanisms for MCAFV fluctuations: the HF and LF fluctuations of MCAFV are basically secondary to those of ABP, and cerebral autoregulation may operate efficiently in LF rather than HF range. Frequency domain analysis offers an opportunity to explore the nature and underlying mechanism of dynamic regulation in cerebral circulation.

AB - We applied frequency domain analysis to detect and quantify spontaneous fluctuations in the blood flow velocity of the middle cerebral artery (MCAFV). Instantaneous MCAFV of normal volunteers was detected using transcranial Doppler sonography. Spectral and transfer function analyses of MCAFV and arterial blood pressure (ABP) were performed by fast Fourier transform. We found the fluctuations in MCAFV, like ABP, could be diffracted into three components at specific frequency ranges, designated as high- frequency (HF, 0.15 to 0.4 Hz), low-frequency (LF, 0.04 to 0.15 Hz), and very low-frequency (VLF, 0.016 to 0.04 Hz) components. The HF and LF components of MCAFV exhibited high coherence with those of ABP, indicating great similarity of MCAFV and ABP fluctuations within the two frequency ranges. However, it was not the case for the VLF component. Transfer function analysis revealed that the ABP-MCAFV phase angle was frequency-dependent in the LF range (r = - 0.79, P < 0.001) but not in the HF range. The time delay between LF fluctuations of ABP and those of MCAFV was evaluated as 2.1 seconds. We conclude that in addition to traditional B-wave equivalents, there are at least two different mechanisms for MCAFV fluctuations: the HF and LF fluctuations of MCAFV are basically secondary to those of ABP, and cerebral autoregulation may operate efficiently in LF rather than HF range. Frequency domain analysis offers an opportunity to explore the nature and underlying mechanism of dynamic regulation in cerebral circulation.

KW - Cerebral blood flow

KW - Frequency domain analysis

KW - Middle cerebral artery

KW - Power spectral analysis

KW - Transcranial Doppler sonography

KW - Transfer function analysis

UR - http://www.scopus.com/inward/record.url?scp=0031915270&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031915270&partnerID=8YFLogxK

M3 - Article

C2 - 9498848

AN - SCOPUS:0031915270

VL - 18

SP - 311

EP - 318

JO - Journal of Cerebral Blood Flow and Metabolism

JF - Journal of Cerebral Blood Flow and Metabolism

SN - 0271-678X

IS - 3

ER -