Literature DB >> 15524557

Double-wavelet approach to study frequency and amplitude modulation in renal autoregulation.

O V Sosnovtseva1, A N Pavlov, E Mosekilde, N-H Holstein-Rathlou, D J Marsh.   

Abstract

Biological time series often display complex oscillations with several interacting rhythmic components. Renal autoregulation, for instance, involves at least two separate mechanisms both of which can produce oscillatory variations in the pressures and flows of the individual nephrons. Using double-wavelet analysis we propose a method to examine how the instantaneous frequency and amplitude of a fast mode is modulated by the presence of a slower mode. Our method is applied both to experimental data from normotensive and hypertensive rats showing different oscillatory patterns and to simulation results obtained from a physiologically based model of the nephron pressure and flow control. We reveal a nonlinear interaction between the two mechanisms that regulate the renal blood flow in the form of frequency and amplitude modulation of the myogenic oscillations.

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Year:  2004        PMID: 15524557     DOI: 10.1103/PhysRevE.70.031915

Source DB:  PubMed          Journal:  Phys Rev E Stat Nonlin Soft Matter Phys        ISSN: 1539-3755


  6 in total

1.  C-type period-doubling transition in nephron autoregulation.

Authors:  Jakob L Laugesen; Erik Mosekilde; Niels-Henrik Holstein-Rathlou
Journal:  Interface Focus       Date:  2010-12-01       Impact factor: 3.906

Review 2.  Renal autoregulation in health and disease.

Authors:  Mattias Carlström; Christopher S Wilcox; William J Arendshorst
Journal:  Physiol Rev       Date:  2015-04       Impact factor: 37.312

3.  Unraveling cell processes: interference imaging interwoven with data analysis.

Authors:  N A Brazhe; A R Brazhe; A N Pavlov; L A Erokhova; A I Yusipovich; G V Maksimov; E Mosekilde; O V Sosnovtseva
Journal:  J Biol Phys       Date:  2006-11-11       Impact factor: 1.365

4.  Analysis of nonstationarity in renal autoregulation mechanisms using time-varying transfer and coherence functions.

Authors:  Ki H Chon; Yuru Zhong; Leon C Moore; Niels H Holstein-Rathlou; William A Cupples
Journal:  Am J Physiol Regul Integr Comp Physiol       Date:  2008-05-21       Impact factor: 3.619

Review 5.  Tubuloglomerular Feedback Synchronization in Nephrovascular Networks.

Authors:  Tayyaba Zehra; William A Cupples; Branko Braam
Journal:  J Am Soc Nephrol       Date:  2021-04-08       Impact factor: 14.978

6.  Thermal oscillations in rat kidneys: an infrared imaging study.

Authors:  Alexander M Gorbach; Hengliang Wang; Eric Elster
Journal:  Philos Trans A Math Phys Eng Sci       Date:  2008-10-13       Impact factor: 4.226

  6 in total

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