Coexisting Forms of Coupling and Phase-Transitions in Physiological Networks
- 1.3k Downloads
Utilizing methods from nonlinear dynamics and a network approach we investigate the interactions between physiologic organ systems. We demonstrate that these systems can exhibit multiple forms of coupling that are independent from each other and act on different time scales. We also find that physiologic systems interaction is of transient nature with intermittent “on” and “off” periods, and that different forms of coupling can simultaneously coexist representing different aspects of physiologic regulation. We investigate the network of physiologic interactions between the brain, cardiac and respiratory systems across different sleep stages, well-defined physiologic states with distinct neuroautonomic regulation, and we uncover a strong relationship between network connectivity, patterns in network links strength and physiologic function. We show that physiologic networks exhibit pronounced phase transitions associated with reorganization in network structure and links strength in response to transitions across physiologic states.
KeywordsCardio-respiratory coupling phase synchronization sleep networks
Unable to display preview. Download preview PDF.
- 6.Ivanov, P.C., Ma, Q.D.Y., Bartsch, R.P., Hausdorff, J.M., Amaral, L.A.N., Schulte-Frohlinde, V., Stanley, H.E., Yonseyama, M.: Levels of complexity in scaleinvariant neural signals. Phys. Rev. E 79, 041920 (2009)Google Scholar
- 12.Schumann, A.Y., Bartsch, R.P., Penzel, T., Ivanov, P.C., Kantelhardt, J.W.: Aging effects on cardiac and respiratory dynamics in healthy subjects across sleep stages. Sleep 33, 943–955 (2010)Google Scholar
- 15.Schindler, K.A., Bialonski, S., Horstmann, M.T., Elger, C.E., Lehnertz, K.: Evolving functional network properties and synchronizability during human epileptic seizures. Chaos 18, 033119 (2008)Google Scholar
- 16.Ivanov, P.C., Bunde, A., Amaral, L.A.N., Havlin, S., Fritsch-Yelle, J., Baevsky, R.M., Stanley, H.E., Goldberger, A.L.: Sleep-wake differences in scaling behavior of the human heartbeat: analysis of terrestrial and long-term space flight data. Europhys. Lett. 48, 594–600 (1999)CrossRefGoogle Scholar
- 17.Kantelhardt, J.W., Ashkenazy, Y., Ivanov, P.C., Bunde, A., Havlin, S., Penzel, T., Peter, J.H., Stanley, H.E.: Characterization of sleep stages by correlations in the magnitude and sign of heartbeat increments. Phys. Rev. E 65, 051908 (2002)Google Scholar
- 18.Karasik, R., Sapir, N., Ashkenazy, Y., Ivanov, P.C., Dvir, I., Lavie, P., Havlin, S.: Correlation differences in heartbeat fluctuations during rest and exercise. Phys. Rev. E 66, 062902 (2002)Google Scholar
- 20.Angelone, A., Coulter, N.A.: Respiratory sinus arrhythmia: A frequency dependent phenomenon. J. Appl. Physiol. 19, 479–482 (1964)Google Scholar
- 22.Sornette, D.: Critical phenomena in natural sciences. Chaos, fractals, selforganization, and disorder — Concepts and tools, 2nd edn. Springer, Berlin (2004)Google Scholar
- 27.Xu, L., Chen, Z., Hu, K., Stanley, H.E., Ivanov, P.C.: Spurious detection of phase synchronization in coupled nonlinear oscillators. Phys. Rev. E 73, 065201 (2006)Google Scholar
- 32.Otzenberger, H., Gronfier, C., Simon, C., Charloux, A., Ehrhart, J., Piquard, F., Brandenberger, G.: Dynamic heart rate variability: A tool for exploring sympathovagal balance continuously during sleep in men. Am. J. Physiol. 275, H946–H950 (1998)Google Scholar