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Network Physiology: From Neural Plasticity to Organ Network Interactions

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Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences

Part of the book series: Springer Proceedings in Physics ((SPPHY,volume 191))

Abstract

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.

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Acknowledgements

We acknowledge support from W.M. Keck Foundation, National Institutes of Health (NIH Grant 1R01- HL098437), the Office of Naval Research (ONR Grant 000141010078), the US-Israel Binational Science Foundation (BSF Grant 2012219), EC-FP7 Marie Curie Fellowship (IIF 628159).

Author information

Authors and Affiliations

  1. Keck Laboratory for Network Physiology, Department of Physics, Boston University, Boston, MA, 02215, USA

    Plamen Ch. Ivanov, Kang K. L. Liu, Aijing Lin & Ronny P. Bartsch

  2. Harvard Medical School and Division of Sleep Medicine, Brigham and Women’s Hospital, Boston, MA, 02115, USA

    Plamen Ch. Ivanov

  3. Department of Neurology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA, 02115, USA

    Kang K. L. Liu

  4. Department of Mathematics, Beijing Jiaotong University, Beijing, China

    Aijing Lin

  5. Department of Physics, Bar-Ilan University, Ramat Gan, Israel

    Ronny P. Bartsch

Authors
  1. Plamen Ch. Ivanov
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  2. Kang K. L. Liu
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  4. Ronny P. Bartsch
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Corresponding author

Correspondence to Plamen Ch. Ivanov .

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Editors and Affiliations

  1. Dipartimento di Scienza ed Alta Tecnologia, Universita’ dell’Insubria and INFN Center for Nonlinear and Complex Systems, Como, Italy

    Giorgio Mantica

  2. Institute of Neuroinformatics and Institute of Computational Science, University of Zürich and ETH Zurich, Zurich, Switzerland

    Ruedi Stoop

  3. Dipartimento interateneo di Fisica Michelangelo Merlin, Universita di Bari and INFN, Bari, Italy

    Sebastiano Stramaglia

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Ivanov, P.C., Liu, K.K.L., Lin, A., Bartsch, R.P. (2017). Network Physiology: From Neural Plasticity to Organ Network Interactions. In: Mantica, G., Stoop, R., Stramaglia, S. (eds) Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences. Springer Proceedings in Physics, vol 191. Springer, Cham. https://doi.org/10.1007/978-3-319-47810-4_12

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