title: Nonlinear identification of the total baroreflex arc: chronic hypertension model.
abstract: The total baroreflex arc is the open-loop system relating carotid sinus pressure (CSP) to arterial pressure (AP). Its linear dynamic functioning has been shown to be preserved in spontaneously hypertensive rats (SHR). However, the system is known to exhibit nonlinear dynamic behaviors. The aim of this study was to establish nonlinear dynamic models of the total arc (and its subsystems) in hypertensive rats and to compare these models with previously published models for normotensive rats. Hypertensive rats were studied under anesthesia. The vagal and aortic depressor nerves were sectioned. The carotid sinus regions were isolated and attached to a servo-controlled piston pump. AP and sympathetic nerve activity were measured while CSP was controlled via the pump using Gaussian white noise stimulation. Second-order, nonlinear dynamics models were developed by application of nonparametric system identification to a portion of the measurements. The models of the total arc predicted AP 21-43% better (P < 0.005) than conventional linear dynamic models in response to a new portion of the CSP measurement. The linear and nonlinear terms of these validated models were compared with the corresponding terms of an analogous model for normotensive rats. The nonlinear gains for the hypertensive rats were significantly larger than those for the normotensive rats [-0.38 ± 0.04 (unitless) vs. -0.22 ± 0.03, P < 0.01], whereas the linear gains were similar. Hence, nonlinear dynamic functioning of the sympathetically mediated total arc may enhance baroreflex buffering of AP increases more in SHR than normotensive rats.
authors.affiliation: Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan;
authors.forename: Mohsen
authors.initials: M
authors.lastname: Moslehpour
authors.affiliation: Department of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center, Osaka, Japan; and.
authors.forename: Toru
authors.initials: T
authors.lastname: Kawada
authors.affiliation: Department of Cardiovascular Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
authors.forename: Kenji
authors.initials: K
authors.lastname: Sunagawa
authors.affiliation: Department of Cardiovascular Dynamics, National Cerebral and Cardiovascular Center, Osaka, Japan; and.
authors.forename: Masaru
authors.initials: M
authors.lastname: Sugimachi
authors.affiliation: Department of Electrical and Computer Engineering, Michigan State University, East Lansing, Michigan; rama@egr.msu.edu.
authors.forename: Ramakrishna
authors.initials: R
authors.lastname: Mukkamala
mesh_terms: D000818:Animals; D062186:Arterial Pressure; D017704:Baroreflex / Q000502:physiology*; D002346:Carotid Sinus / Q000502:physiology*; D002908:Chronic Disease; D006973:Hypertension; D040542:Mechanotransduction, Cellular; D008954:Models, Biological; D017711:Nonlinear Dynamics; D051381:Rats; D011918:Rats, Inbred SHR; D011921:Rats, Inbred WKY; D012815:Signal Processing, Computer-Assisted
keywords: Gaussian white noise; arterial baroreflex; hypertension; nonlinear model; system identification