The fundamental question in the new field of Network Physiology is how physiologic states and functions emerge from networked interactions among diverse physiological systems. We present recent efforts in developing new methodology and theoretical framework adequate to identify and quantify dynamical interactions among systems with very different characteristics and signal outputs. In this chapter, we demonstrate the utility of the novel concept of time delay stability and a first Network Physiology approach: to investigate new aspects of neural plasticity at the level of brain rhythm interactions in response to changes in physiologic state; to characterize dynamical features of brain-organ communications as a new signature of neuroautonomic control; and to establish basic principles underlying hierarchical reorganization in the network of organ-organ communications for different physiologic states and functions. The presented results are initial steps in developing an atlas of dynamical interactions among key organ systems in the human body.
|Title of host publication
|Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences - Proceedings of the 23rd International Conference on Nonlinear Dynamics of Electronic Systems, NDES 2015
|Ruedi Stoop, Ruedi Stoop, Giorgio Mantica, Sebastiano Stramaglia, Giorgio Mantica, Sebastiano Stramaglia
|Springer Science and Business Media, LLC
|Number of pages
|Published - 2017
|23rd International Conference on Nonlinear Dynamics of Electronic Systems, NDES 2015 - Como, Italy
Duration: 7 Sep 2015 → 11 Sep 2015
|Springer Proceedings in Physics
|23rd International Conference on Nonlinear Dynamics of Electronic Systems, NDES 2015
|7/09/15 → 11/09/15
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