Subscribe to RSS
Download PDF
DOI: 10.3414/ME09-02-0036
Information Transfer through the Spontaneous Baroreflex in Healthy Humans
Authors
Publication History
received:
12 October 2009
accepted:
12 May 2009
Publication Date:
17 January 2018 (online)
Summary
Objectives: This study assesses the information transfer through the spontaneous baroreflex (i.e. through the pathway linking systolic arterial pressure to heart period) during an experimental condition soliciting baroreflex (i.e. head-up tilt).
Methods: The information transfer was calculated as the conditional entropy of heart period given systolic arterial pressure using a mutual neighbor approach and uniform quantization. The information transfer was monitored as a function of the forecasting time k.
Results: We found that during head-up tilt the information transfer at k = 0 decreased but the rate of rise of information transfer as a function of k was faster.
Conclusions: We suggest that the characterization of the information transfer from systolic arterial pressure to heart period might complement the traditional characterization of the spontaneous baroreflex based on transfer function analysis.
-
References
- 1 Smyth HS, Sleight P, Pickering GW. Reflex regulation of the arterial pressure during sleep in man A quantitative method of assessing baroreflex sensitivity. Circ Res 1969; 24: 109-121.
- 2 Laude D, Elghozi J-L, Girard A, Bellard E, Bouhaddi M, Castiglioni P, Cerutti C, Cividjian A, Di Rienzo M, Fortrat J-O, Janssen B, Karemaker JM, Leftheriotis G, Parati G, Persson PB, Porta A, Quintin L, Regnard J, Rudiger H, Stauss HM. Comparison of various techniques used to estimate spontaneous baroreflex sensitivity (the EuroBaVar study). Am J Physiol 2004; 286: R226-R231.
- 3 Porta A, Di Rienzo M, Wessel N, Kurths J. Addressing the complexity of cardiovascular regulation. Phil Trans R Soc A 2009; 367: 1215-1218.
- 4 Porta A, Baselli G, Lombardi F, Montano N, Malliani A, Cerutti S. Conditional entropy approach for the evaluation of the coupling strength. Biol Cybern 1999; 81: 119-129.
- 5 Schiff SJ, So P, Chang T, Burke RE, Sauer T. Detecting dynamical interdependence and generalized synchrony though mutual prediction in neural ensemble. Phys Rev E 1996; 54: 6708-6724.
- 6 Porta A, Guzzetti S, Montano N, Furlan R, Pagani M, Malliani A, Cerutti S. Entropy, entropy rate and pattern classification as tools to typify complexity in short heart period variability series. IEEE Trans Biomed Eng 2001; 48: 1282-1291.
- 7 Schreiber T, Schmitz A. Improved surrogat data for nonlinearity tests. Phys Rev Lett 1996; 77: 635-638.
- 8 Cooke WH, Hoag JB, Crossman AA, Kuusela TA, Tahvanainen KUO, Eckberg DL. Human responses to upright tilt: a window on central autonomic integration. J Physiol 1999; 517: 617-628.
- 9 Porta A, Guzzetti S, Montano N, Pagani M, Somers V, Malliani A, Baselli G, Cerutti S. Information domain analysis of cardiovascular variability signals: evaluation of regularity, synchronisation and coordination. Med Biol Eng Comput 2000; 38: 180-188.
- 10 Porta A, Baselli G, Rimoldi O, Malliani A, Pagani M. Assessing baroreflex gain from spontaneous variability in conscious dogs: role of causality and respiration. Am J Physiol 2000; 279: H2558-H2567.
- 11 Faes L, Nollo G. Bivariate nonlinear prediction to quantify the strength of complex dynamical interactions in short-term cardiovascular variability. Med Biol Eng Comput 2006; 44: 383-392.
- 12 Nollo G, Faes L, Porta A, Antolini R, Ravelli F. Exploring directionality in spontaneous heart period and systolic arterial pressure variability interactions in humans: implications in the evaluation of baroreflex gain. Am J Physiol 2005; 288: H1777-H1785.