Skip to main content
SpringerLink
Log in

The New Frontier of Network Physiology: Emerging Physiologic States in Health and Disease from Integrated Organ Network Interactions

  • Chapter
  • First Online:
2019-20 MATRIX Annals

Part of the book series: MATRIX Book Series ((MXBS,volume 4))

Abstract

An intriguing question in the new field of Network Physiology is how organ systems in the human body dynamically interact to coordinate functions, to maintain healthy homeostasis, and to generate distinct physiological states and behaviors at the organism level. Physiological systems exhibit complex dynamics, operate at different time scales and are regulated by multi-component mechanisms, which poses challenges to studying physiologic coupling and network interactions among systems with diverse dynamics. We present a conceptual framework and a method based on the concept of time delay stability to probe transient physiologic network interactions in a group of healthy subjects during sleep. We investigate the multi-layer network structure and dynamics of interactions among (i) physiologically relevant brain rhythms within and across cortical locations, (ii) brain rhythms and key peripheral organ systems, and (iii) the network structure and dynamics among peripheral organ systems across distinct physiological states. We demonstrate that each physiologic state (sleep stage) is characterized by a specific network structure and link strength distribution. The entire physiological network undergoes hierarchical reorganization across layers with the transition from one stage to another. Our findings are consistent across subjects and indicate a robust association of organ network structure and dynamics with physiologic state and function. The presented Network Physiology approach provides a new framework to explore physiologic states under health and disease through networks of organ interactions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 74.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.00
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 99.00
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Bartsch, R.P., Ivanov, P.C.: Coexisting forms of coupling and phase-transitions in physiological networks. In: International Conference on Nonlinear Dynamics of Electronic Systems, pp. 270–287. Springer (2014)

    Google Scholar 

  2. Bartsch, R.P., Liu, K.K., Bashan, A., Ivanov, P.C.: Network physiology: how organ systems dynamically interact. PloS one 10(11), e0142,143 (2015)

    Google Scholar 

  3. Bartsch, R.P., Liu, K.K., Ma, Q.D., Ivanov, P.C.: Three independent forms of cardiorespiratory coupling: transitions across sleep stages. In: Computing in Cardiology 2014, pp. 781–784. IEEE (2014)

    Google Scholar 

  4. Bashan, A., Bartsch, R.P., Kantelhardt, J.W., Havlin, S., Ivanov, P.C.: Network physiology reveals relations between network topology and physiological function. Nature communications 3(1), 1–9 (2012)

    Google Scholar 

  5. Berry, R.B., Brooks, R., Gamaldo, C.E., Harding, S.M., Marcus, C., Vaughn, B.V., et al.: The aasm manual for the scoring of sleep and associated events. Rules, Terminology and Technical Specifications, Darien, Illinois, American Academy of Sleep Medicine 176, 2012 (2012)

    Google Scholar 

  6. Bian, Z., Li, Q., Wang, L., Lu, C., Yin, S., Li, X.: Relative power and coherence of eeg series are related to amnestic mild cognitive impairment in diabetes. Frontiers in aging neuroscience 6, 11 (2014)

    Google Scholar 

  7. Bogdan, P.: Taming the unknown unknowns in complex systems: challenges and opportunities for modeling, analysis and control of complex (biological) collectives. Frontiers in Physiology 10 (2019)

    Google Scholar 

  8. Bolton, T.A.,Wotruba, D., Buechler, R., Theodoridou, A., Michels, L., Kollias, S., R¨ossler,W., Heekeren, K., Van De Ville, D.: Triple network model dynamically revisited: lower salience network state switching in pre-psychosis. Frontiers in physiology 11, 66 (2020)

    Google Scholar 

  9. Carskadon, M.A., Dement, W.C., et al.: Normal human sleep: an overview. Principles and practice of sleep medicine 4, 13–23 (2005)

    Google Scholar 

  10. Chorlian, D.B., Rangaswamy, M., Porjesz, B.: Eeg coherence: topography and frequency structure. Experimental brain research 198(1), 59 (2009)

    Google Scholar 

  11. Cimenser, A., Purdon, P.L., Pierce, E.T., Walsh, J.L., Salazar-Gomez, A.F., Harrell, P.G., Tavares-Stoeckel, C., Habeeb, K., Brown, E.N.: Tracking brain states under general anesthesia by using global coherence analysis. Proceedings of the National Academy of Sciences 108(21), 8832–8837 (2011)

    Google Scholar 

  12. Faes, L., Nollo, G., Jurysta, F., Marinazzo, D.: Information dynamics of brain–heart physiological networks during sleep. New Journal of Physics 16(10), 105,005 (2014)

    Google Scholar 

  13. Ivanov, P.C., Bartsch, R.P.: Network physiology: mapping interactions between networks of physiologic networks. In: Networks of Networks: the last Frontier of Complexity, pp. 203–222. Springer (2014)

    Google Scholar 

  14. Ivanov, P.C., Liu, K.K., Bartsch, R.P.: Focus on the emerging new fields of network physiology and network medicine. New journal of physics 18(10), 100,201 (2016)

    Google Scholar 

  15. Ivanov, P.C., Liu, K.K., Lin, A., Bartsch, R.P.: Network physiology: From neural plasticity to organ network interactions. In: Emergent Complexity from Nonlinearity, in Physics, Engineering and the Life Sciences, pp. 145–165. Springer (2017)

    Google Scholar 

  16. Kerkman, J.N., Bekius, A., Boonstra, T.W., Daffertshofer, A., Dominici, N.: Muscle synergies and coherence networks reflect different modes of coordination during walking. Frontiers in Physiology 11 (2020)

    Google Scholar 

  17. Klosh, G., Kemp, B., Penzel, T., Schlogl, A., Rappelsberger, P., Trenker, E., Gruber, G., Zeithofer, J., Saletu, B., Herrmann,W., et al.: The siesta project polygraphic and clinical database. IEEE Engineering in Medicine and Biology Magazine 20(3), 51–57 (2001)

    Google Scholar 

  18. Lavanga, M., Bollen, B., Jansen, K., Ortibus, E., Naulaers, G., Van Huffel, S., Caicedo, A.: A bradycardia-based stress calculator for the neonatal intensive care unit: a multisystem approach. Frontiers in Physiology 11 (2020)

    Google Scholar 

  19. Lin, A., Liu, K.K., Bartsch, R.P., Ivanov, P.C.: Delay-correlation landscape reveals characteristic time delays of brain rhythms and heart interactions. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 374(2067), 20150,182 (2016)

    Google Scholar 

  20. Lin, A., Liu, K.K., Bartsch, R.P., Ivanov, P.C.: Dynamic network interactions among distinct brain rhythms as a hallmark of physiologic state and function. Communications Biology 3(1), 1–11 (2020)

    Google Scholar 

  21. Liu, K.K., Bartsch, R.P., Lin, A., Mantegna, R.N., Ivanov, P.C.: Plasticity of brain wave network interactions and evolution across physiologic states. Frontiers in neural circuits 9, 62 (2015)

    Google Scholar 

  22. Liu, K.K., Bartsch, R.P., Ma, Q.D., Ivanov, P.C.: Major component analysis of dynamic networks of physiologic organ interactions. In: Journal of Physics: Conference Series, vol. 640, p. 012013 (2015)

    Google Scholar 

  23. Liu, L., Shao, Z., Lv, J., Xu, F., Ren, S., Jin, Q., Yang, J., Ma, W., Xie, H., Zhang, D., et al.: Identification of early warning signals at the critical transition point of colorectal cancer based on dynamic network analysis. Frontiers in bioengineering and biotechnology 8, 530 (2020)

    Google Scholar 

  24. Moorman, J.R., Lake, D.E., Ivanov, P.C.: Early detection of sepsis—a role for network physiology? Critical care medicine 44(5), e312–e313 (2016)

    Google Scholar 

  25. Niedermeyer, E., da Silva, F.L.: Electroencephalography: basic principles, clinical applications, and related fields. Lippincott Williams & Wilkins (2005)

    Google Scholar 

  26. Pereira-Ferrero, V.H., Lewis, T.G., Pereira Ferrero, L.G., Duarte, L.T.: Complex networks models and spectral decomposition in the analysis of swimming athletes’ performance at olympic games. Frontiers in physiology 10, 1134 (2019)

    Google Scholar 

  27. Rechtschaffen, A., Kales, A.: A manual of standardized terminology, techniques and scoring system for sleep stages of human subjects. bethesda, md: Us dept of health, education and welfare. Public Health Service (1968)

    Google Scholar 

  28. Tan, Y.Y., Montagnese, S., Mani, A.R.: Organ system network disruption is associated with poor prognosis in patients with chronic liver failure. Frontiers in Physiology 11, 983 (2020)

    Google Scholar 

  29. Tanaka, H., Hayashi,M., Hori, T.: Topographic mapping of electroencephalography coherence in hypnagogic state. Psychiatry and clinical neurosciences 52(2), 147–148 (1998)

    Google Scholar 

  30. Wang, Z., Liu, Z.: A brief review of chimera state in empirical brain networks. Frontiers in Physiology 11 (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

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

    Plamen Ch Ivanov, Jilin W. J. L. Wang & Bolun Chen

  2. Department of Physics, Jinan University, Guangzhou, 510632, China

    Xiyun Zhang

Authors
  1. Plamen Ch Ivanov
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jilin W. J. L. Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xiyun Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Bolun Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Plamen Ch Ivanov .

Editor information

Editors and Affiliations

  1. School of Mathematics and Statistics, University of Melbourne, Parkville, VIC, Australia

    Jan de Gier

  2. Department of Mathematics and Statistics, The University of Western Australia, Melbourne, Australia

    Cheryl E. Praeger

  3. Department of Mathematics, University of California Los Angeles, Los Angeles, CA, USA

    Terence Tao

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ivanov, P.C., Wang, J.W.J.L., Zhang, X., Chen, B. (2021). The New Frontier of Network Physiology: Emerging Physiologic States in Health and Disease from Integrated Organ Network Interactions. In: de Gier, J., Praeger, C.E., Tao, T. (eds) 2019-20 MATRIX Annals. MATRIX Book Series, vol 4. Springer, Cham. https://doi.org/10.1007/978-3-030-62497-2_12

Download citation

Publish with us

Policies and ethics

Search

Navigation