Nonlinear coordination of cardiovascular autonomic control.

The phylogenetic development of the autonomic nervous system (ANS) has presumably involved processes of self-organization with evolutionary selective pressure to optimize specific functions of the organism and the coordination of these functions. Our knowledge of the functional organization of the ANS is incomplete. However, at many different levels of function, nonlinear dynamics have been shown to provide a relevant description of operation of the system. We introduce some of the fundamentals of nonlinear coordination, including approaches based on chaos theory, synergetics, and general nonlinear dynamics. The term "autonomic nervous system" is valid for the basal functional unit, which includes essential neurophysiological mechanisms of cardiovascular control that are approximately independent of voluntary influences. The conclusion is that the cardiovascular autonomic control system is more appropriately investigated by multivariate than by univariate data analysis. A physiological organism can be considered as a highly complex dissipative structure; numerous widespread internal and external conditions lead to the small behavioral band of being alive. Subsystems of this structure can be modeled as dissipative dynamical systems. Deterministic chaos is a mathematical phenomenon in which a deterministic process produces a unpredictable output. Deterministic chaos is somewhat regular in that it is deterministic and somewhat irregular in that it is unpredictable. One of the distinctive features of the ANS is that its fluctuations are also somewhat regular and somewhat irregular. This duality may indicate that it may be useful to characterize ANS fluctuations in terms of concepts from chaos theory.

[1]  A. Trzebski,et al.  Role of the rostral ventrolateral medulla in the generation of synchronized sympathetic rhythmicities in the rat. , 1992, Journal of the autonomic nervous system.

[2]  L. Glass,et al.  Chaos in multi-looped negative feedback systems. , 1990, Journal of theoretical biology.

[3]  J U Grönlund,et al.  Do β-Adrenergic Blockade and Sleep State Affect Cardiorespiratory Control in Neonatal Lambs? Multivariate Autoregressive Modeling Approach , 1991, Pediatric Research.

[4]  Y. Pomeau,et al.  Intermittent transition to turbulence in dissipative dynamical systems , 1980 .

[5]  R. Pérez,et al.  Bifurcation and chaos in a periodically stimulated cardiac oscillator , 1983 .

[6]  P. Langhorst,et al.  Facultative coupling of reticular neuronal activity with peripheral cardiovascular and central cortical rhythms , 1975, Brain Research.

[7]  G. L. Gebber,et al.  Coupled oscillators account for the slow rhythms in sympathetic nerve discharge and phrenic nerve activity. , 1997, The American journal of physiology.

[8]  R Grebe,et al.  Attractors and quasi-attractors in the cutaneous perfusion in human subjects and patients: "chaotic" or adaptive behaviour? , 1996, Journal of the autonomic nervous system.

[9]  D Lehmann,et al.  EEG alpha map series: brain micro-states by space-oriented adaptive segmentation. , 1987, Electroencephalography and clinical neurophysiology.

[10]  Hanspeter Herzel,et al.  Bifurcations in a nonlinear model of the baroreceptor-cardiac reflex , 1998 .

[11]  L S Liebovitch,et al.  A model of ion channel kinetics using deterministic chaotic rather than stochastic processes. , 1991, Journal of theoretical biology.

[12]  Albano,et al.  Filtered noise can mimic low-dimensional chaotic attractors. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[13]  D. Hoyer,et al.  Nonlinear analysis of heart rate and respiratory dynamics , 1997, IEEE Engineering in Medicine and Biology Magazine.

[14]  M. F. Shlesinger,et al.  The brain as a dynamic physical system , 1994, Neuroscience.

[15]  R. Mukkamala,et al.  Linear and nonlinear system identification of autonomic heart-rate modulation , 1997, IEEE Engineering in Medicine and Biology Magazine.