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DY: Fachverband Dynamik und Statistische Physik

DY 57: Networks: From Topology to Dynamics II (joint session DY/SOE)

DY 57.4: Talk

Friday, March 22, 2024, 10:30–10:45, BH-N 128

Partial event coincidence analysis for distinguishing direct and indirect coupling in functional network construction — •Reik V. Donner^1,2 and Yong Zou³ — ¹Magdeburg-Stendal University of Applied Sciences, Magdeburg, Germany — ²Potsdam Institute for Climate Impact Research, Potsdam, Germany — ³East China Normal University, Shanghai, China

Correctly identifying interaction patterns from multivariate time series presents an important step in functional network construction. In this context, the widespread use of bivariate statistical association measures often results in a false identification of links because of strong similarity originating from indirect interaction or common drivers. In order to properly distinguish such direct and indirect links for the special case of event-like data, we present a partial version of event coincidence analysis (PECA) aimed at excluding possible transitive effects of indirect couplings. Using coupled chaotic systems and stochastic processes on two generic coupling topologies, we demonstrate that the proposed methodology allows for the correct identification of indirect interactions in case of just a few coupled systems. Finally, we apply PECA to multi-channel EEG recordings to investigate possible differences in coordinated alpha band activity among macroscopic brain regions in resting states with eyes open (EO) and closed (EC) conditions. Our approach leads to a significant reduction in the number of indirect connections and thereby contributes to a better understanding of the alpha band desynchronization phenomenon in the EO state.