Regensburg 2022 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 45: Poster Session: Nonlinear Dynamics, Pattern Formation, Data Analytics and Machine Learning
DY 45.13: Poster
Donnerstag, 8. September 2022, 15:00–18:00, P2
Ordinal Patterns as Robust Biomarkers in Multichannel EEG Time Series — •Inga Kottlarz1,2, Sebastian Berg1, Diana Toscano-Tejeida3, Iris Steinmann3, Mathias Bähr4, Stefan Luther1,5,6, Melanie Wilke3,7, Ulrich Parlitz1,2,6, and Alexander Schlemmer1,6 — 1Max Planck Institute for Dynamics and Self-Organization, Göttingen, Germany — 2Institute for Dynamics of Complex Systems, Georg-August-Universität Göttingen, Göttingen, Germany — 3Department of Cognitive Neurology, University Medical Center Göttingen, Göttingen, Germany — 4Department of Neurology, University Medical Center Göttingen, Göttingen, Germany — 5Institute of Pharmacology and Toxicology, University Medical Center Göttingen, Göttingen, Germany — 6German Center for Cardiovascular Research (DZHK), Partner Site Göttingen, Göttingen, Germany — 7German Primate Center, Leibniz Institute for Primate Research, Göttingen, Germany
Neurobiological changes in healthy and pathological aging and their electrophysiological correlates (EEG) are still an important topic in the neuroscience community. We extract ordinal patterns and frequency-domain based features from multichannel EEG time series to differentiate between two age groups and also between individuals, using functional connectivity and single channel features. We analyse the separation of EEG features from different age groups and individuals and demonstrate that ordinal pattern-based measures yield results comparable to frequency-based measures applied to preprocessed data, and outperform them if applied to raw data.