Non-linear Analysis of Brain-heart Couplings Considering Complex Physiological Data: How to Deal With the Multi-dimensional Structure of Resulting Directed Interaction Pattern and the Need for Advanced Statistical Examinations

23.01.2023 von 16:00 bis 17:00

Kaiserstr. 2, 24143 Kiel, D-Aquarium

A multitude of complex methods is available to quantify interactions in highly complex physiological systems. Brain-heart interactions play an important role to identify couplings between the central nervous system and the autonomic nervous system during defined physiological states or specific diseases. Nonlinear Convergent Cross Mapping (CCM) is one method to quantify such interactions. Crucial point of those interaction analyses are an adequate pre-processing taking into account nonlinearity of data, and intuitive graphical representation as well as suitable statistical evaluation of achieved results. Aim of this talk is to provide generalized processing schemes for such investigations. Brain-heart interactions achieved by nonlinear CCM in children with temporal lobe epilepsy during pre-ictal, ictal and post-ictal period as well as in patients with paranoid schizophrenia and healthy control subjects during resting state period are used as benchmark data sets. Necessary pre-processing as well as time-variant, frequency-selective and topological perspectives on the results of such analyses are presented and discussed. Surrogate data, bootstrapping and linear mixed-effects model approach are utilized for statistical analyses. The general concept of the analyses is also applicable to other methods of interaction analysis and to data from even more complex physiological systems.

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