Characterizing multimode interaction in renal autoregulation.

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Characterizing multimode interaction in renal autoregulation. / Pavlov, A N; Sosnovtseva, Olga; Pavlova, O N; Mosekilde, E; Holstein-Rathlou, N-H.

In: Physiological Measurement, Vol. 29, No. 8, 2008, p. 945-58.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Pavlov, AN, Sosnovtseva, O, Pavlova, ON, Mosekilde, E & Holstein-Rathlou, N-H 2008, 'Characterizing multimode interaction in renal autoregulation.', Physiological Measurement, vol. 29, no. 8, pp. 945-58. https://doi.org/10.1088/0967-3334/29/8/007

APA

Pavlov, A. N., Sosnovtseva, O., Pavlova, O. N., Mosekilde, E., & Holstein-Rathlou, N-H. (2008). Characterizing multimode interaction in renal autoregulation. Physiological Measurement, 29(8), 945-58. https://doi.org/10.1088/0967-3334/29/8/007

Vancouver

Pavlov AN, Sosnovtseva O, Pavlova ON, Mosekilde E, Holstein-Rathlou N-H. Characterizing multimode interaction in renal autoregulation. Physiological Measurement. 2008;29(8):945-58. https://doi.org/10.1088/0967-3334/29/8/007

Author

Pavlov, A N ; Sosnovtseva, Olga ; Pavlova, O N ; Mosekilde, E ; Holstein-Rathlou, N-H. / Characterizing multimode interaction in renal autoregulation. In: Physiological Measurement. 2008 ; Vol. 29, No. 8. pp. 945-58.

Bibtex

@article{c7862b30ab5d11ddb5e9000ea68e967b,
title = "Characterizing multimode interaction in renal autoregulation.",
abstract = "The purpose of this paper is to demonstrate how modern statistical techniques of non-stationary time-series analysis can be used to characterize the mutual interaction among three coexisting rhythms in nephron pressure and flow regulation. Besides a relatively fast vasomotoric rhythm with a period of 5-8 s and a somewhat slower mode arising from an instability in the tubuloglomerular feedback mechanism, we also observe a very slow mode with a period of 100-200 s. Double-wavelet techniques are used to study how the very slow rhythm influences the two faster modes. In a broader perspective, the paper emphasizes the significance of complex dynamic phenomena in the normal and pathological function of physiological systems and discusses how simulation methods can help to understand the underlying biological mechanisms. At the present there is no causal explanation of the very slow mode. However, vascular oscillations with similar frequencies have been observed in other tissues.",
author = "Pavlov, {A N} and Olga Sosnovtseva and Pavlova, {O N} and E Mosekilde and N-H Holstein-Rathlou",
note = "Keywords: Animals; Blood Pressure; Homeostasis; Hypertension, Renal; Kidney; Male; Models, Statistical; Myocytes, Smooth Muscle; Nephrons; Nonlinear Dynamics; Rats; Rats, Sprague-Dawley; Renal Circulation",
year = "2008",
doi = "10.1088/0967-3334/29/8/007",
language = "English",
volume = "29",
pages = "945--58",
journal = "Physiological Measurement",
issn = "0967-3334",
publisher = "Institute of Physics Publishing Ltd",
number = "8",

}

RIS

TY - JOUR

T1 - Characterizing multimode interaction in renal autoregulation.

AU - Pavlov, A N

AU - Sosnovtseva, Olga

AU - Pavlova, O N

AU - Mosekilde, E

AU - Holstein-Rathlou, N-H

N1 - Keywords: Animals; Blood Pressure; Homeostasis; Hypertension, Renal; Kidney; Male; Models, Statistical; Myocytes, Smooth Muscle; Nephrons; Nonlinear Dynamics; Rats; Rats, Sprague-Dawley; Renal Circulation

PY - 2008

Y1 - 2008

N2 - The purpose of this paper is to demonstrate how modern statistical techniques of non-stationary time-series analysis can be used to characterize the mutual interaction among three coexisting rhythms in nephron pressure and flow regulation. Besides a relatively fast vasomotoric rhythm with a period of 5-8 s and a somewhat slower mode arising from an instability in the tubuloglomerular feedback mechanism, we also observe a very slow mode with a period of 100-200 s. Double-wavelet techniques are used to study how the very slow rhythm influences the two faster modes. In a broader perspective, the paper emphasizes the significance of complex dynamic phenomena in the normal and pathological function of physiological systems and discusses how simulation methods can help to understand the underlying biological mechanisms. At the present there is no causal explanation of the very slow mode. However, vascular oscillations with similar frequencies have been observed in other tissues.

AB - The purpose of this paper is to demonstrate how modern statistical techniques of non-stationary time-series analysis can be used to characterize the mutual interaction among three coexisting rhythms in nephron pressure and flow regulation. Besides a relatively fast vasomotoric rhythm with a period of 5-8 s and a somewhat slower mode arising from an instability in the tubuloglomerular feedback mechanism, we also observe a very slow mode with a period of 100-200 s. Double-wavelet techniques are used to study how the very slow rhythm influences the two faster modes. In a broader perspective, the paper emphasizes the significance of complex dynamic phenomena in the normal and pathological function of physiological systems and discusses how simulation methods can help to understand the underlying biological mechanisms. At the present there is no causal explanation of the very slow mode. However, vascular oscillations with similar frequencies have been observed in other tissues.

U2 - 10.1088/0967-3334/29/8/007

DO - 10.1088/0967-3334/29/8/007

M3 - Journal article

C2 - 18603665

VL - 29

SP - 945

EP - 958

JO - Physiological Measurement

JF - Physiological Measurement

SN - 0967-3334

IS - 8

ER -

ID: 8419717