European Journal of Applied Physiology

, Volume 118, Issue 5, pp 959–969 | Cite as

The influence of the carotid baroreflex on dynamic regulation of cerebral blood flow and cerebral tissue oxygenation in humans at rest and during exercise

  • Sushmita Purkayastha
  • Kaitlyn Maffuid
  • Xiaojie Zhu
  • Rong Zhang
  • Peter B. Raven
Original Article

Abstract

Purpose

This preliminary study tested the hypothesis that the carotid baroreflex (CBR) mediated sympathoexcitation regulates cerebral blood flow (CBF) at rest and during dynamic exercise.

Methods

In seven healthy subjects (26 ± 1 years), oscillatory neck pressure (NP) stimuli of + 40 mmHg were applied to the carotid baroreceptors at a pre-determined frequency of 0.1 Hz at rest, low (10 ± 1W), and heavy (30 ± 3W) exercise workloads (WLs) without (control) and with α − 1 adrenoreceptor blockade (prazosin). Spectral power analysis of the mean arterial blood pressure (MAP), mean middle cerebral artery blood velocity (MCAV), and cerebral tissue oxygenation index (ScO2) in the low-frequency range (0.07–0.20 Hz) was estimated to examine NP stimuli responses.

Results

From rest to heavy exercise, WLs resulted in a greater than three-fold increase in MCAV power (42 ± 23.8–145.2 ± 78, p < 0.01) and an almost three-fold increase in ScO2 power (0.51 ± 0.3–1.53 ± 0.8, p = 0.01), even though there were no changes in MAP power (from 24.5 ± 21 to 22.9 ± 11.9) with NP stimuli. With prazosin, the overall MAP (p = 0.0017), MCAV (p = 0.019), and ScO2 (p = 0.049) power was blunted regardless of the exercise conditions. Prazosin blockade resulted in increases in the Tf gain index between MAP and MCAV compared to the control (p = 0.03).

Conclusion

CBR-mediated changes in sympathetic activity contribute to dynamic regulation of the cerebral vasculature and CBF at rest and during dynamic exercise in humans.

Keywords

Cerebral blood vessels Cerebral tissue oxygenation Dynamic exercise Power spectral density Sympathetic activity Transfer function gain 

Abbreviations

ANOVA

Analysis of variance

CBF

Cerebral blood flow

CBR

Carotid baroreflex

HR

Heart rate

LF

Low frequency

MAP

Mean arterial pressure

MCAV

Middle cerebral artery blood velocity

NIRS

Near-infrared spectroscopy

NP

Neck pressure

SCO2

Cerebral tissue oxygenation

SD

Standard deviation

PSD

Power spectral density

TCD

Transcranial Doppler

TF

Transfer function

WL

Workload

Notes

Author contributions

Conception and design of research: SP and PBR. Data collection and analyses: SP, KM, XZ, RZ, and PBR. Manuscript was drafted by SP, KM, XZ, RZ, and PBR. All authors contributed to data interpretation, editing, and revision of the manuscript. All authors approved the final version of the manuscript.

Funding

This study was supported in part by funds provided by the Cardiovascular Research Institute and the Department of Integrative Physiology at the University of North Texas Health Science Center at Fort Worth, TX. The authors also wish to thank the subjects for volunteering to undertake the study.

Compliance with ethical standards

Conflict of interest

The authors declare no competing financial interests.

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Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Applied Physiology and Wellness, Simmons School of Education and Human DevelopmentSouthern Methodist UniversityDallasUSA
  2. 2.Department of StatisticsSouthern Methodist UniversityDallasUSA
  3. 3.Institute for Exercise and Environmental MedicineTexas Health Presbyterian HospitalDallasUSA
  4. 4.Department of Internal MedicineUniversity of Texas Southwestern Medical CenterDallasUSA
  5. 5.Institute of Cardiovascular and Metabolic DiseasesUniversity of North Texas Health Science CenterFort WorthUSA

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