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DY: Fachverband Dynamik und Statistische Physik
DY 24: Networks - Statistics and Dynamics (joint session DY/ BP/ SOE)
DY 24.10: Vortrag
Mittwoch, 2. April 2014, 17:30–17:45, ZEU 118
Physiological networks studied with time-delay stability analysis — •Jan W. Kantelhardt1, Amir Bashan2, Ronny P. Bartsch3, Shlomo Havlin2, and Plamen C. Ivanov3 — 1Institut für Physik, Martin-Luther-Universität Halle-Wittenberg — 2Department of Physics, Bar-Ilan University, Israel — 3Harvard Medical School, Boston, USA
The human organism is an integrated network where complex physiological systems, each with its own regulatory mechanisms, continuously interact, and where failure of one system can trigger a breakdown of the entire network. Identifying and quantifying dynamical networks of diverse systems with different types of interactions is a challenge. We have developed time-delay stability analysis as a framework to probe interactions among diverse systems and identified a physiological network from recorded time series data. Each physiological state is characterized by a specific network structure, demonstrating a robust interplay between network topology and function. Across physiological states, the network undergoes topological transitions associated with fast reorganization of physiological interactions on time scales of a few minutes, indicating high network flexibility in response to perturbations.