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| Research article summary (published 30 Mar 2002): |
Modeling of nonlinear physiological systems with fast and slow dynamics. II. Application to cerebral autoregulation.
Full Abstract
Dynamic autoregulation of cerebral hemodynamics in healthy humans is studied using the novel methodology of the Laguerre-Volterra network for systems with fast and slow dynamics (Mitsis, G. D., and V. Z. Marmarelis, Ann. Biomed. Eng. 30:272-281, 2002). Since cerebral autoregulation is mediated by various physiological mechanisms with significantly different time constants, it is used to demonstrate the efficacy of the new method. Results are presented in the time and frequency domains and reveal that cerebral autoregulation is a nonlinear and dynamic (frequency-dependent) system with considerable nonstationarities. Quantification of the latter reveals greater variability in specific frequency bands for each subject in the low and middle frequency range (below 0.1 Hz). The nonlinear dynamics are prominent also in the low and middle frequency ranges, where the frequency response of the system exhibits reduced gain.
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Author information
Author/s: Mitsis, G D (GD); Zhang, R (R); Levine, B D (BD); Marmarelis, V Z (VZ);
Affiliation: Department of Biomedical Engineering, University of Southern California, Los Angeles 90089-1451, USA.
Grants: RR-01861 (Agency:United States NCRR)
Journal and publication information
Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't; Research Support, U.S. Gov't, P.H.S.
Journal: Annals of biomedical engineering (Ann Biomed Eng), published in United States. (Language: eng)
Reference: 2002-Apr; vol 30 (issue 4) : pp 555-65
Dates: Created 2002/06/27; Completed 2003/01/08; Revised 2007/11/15;
PMID: 12086006, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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