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Applying recurrence time entropy to identify changes in event-related potentials

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Abstract

The event-related potentials (ERPs) are an essential response of the human brain to environmental changes that correlate with behavior. They are thus widely used as indicators of brain activity in fundamental research and response sources in brain communication devices. The problem of their robust identification from single-trial EEG recordings or limited data sets is timely and challenging. The current study addresses this issue by evaluating the ERP-associated variations of EEG signals using the measures of complexity based on the recurrence quantification analysis (RQA). Specifically, we demonstrate that the recurrence time entropy (RTE) is a good indicator of ERP-associated changes in the course of successive discrimination of ambiguous visual stimuli. Using the distribution of recurrence times, we conclude why exactly this measure is sensitive to ERP-associated variations of EEG signal.

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Data availability statement

This manuscript has associated data in a data repository: https://doi.org/10.6084/m9.figshare.12155343.v2.

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Funding

The study was supported by the Russian Foundation for Basic Research (Grant number 19-32-60042) in the part of electrophysiological experiment. The data analysis was supported by the Program of Scientific School Support (Grant number NSH-589.2022.1.2).

Author information

Authors and Affiliations

  1. Laboratory of Dynamics in Biological Systems, KU Leuven, Leuven, 3000, Belgium

    Nikita Frolov

  2. Center for Neurotechnology and Machine Learning, Immanuel Kant Baltic Federal University, Kaliningrad, 236041, Russia

    Elena Pitsik, Vladimir Maksimenko & Alexander Hramov

  3. Neuroscience and Cognitive Technology Laboratory, Innopolis University, Innopolis, 420500, Russia

    Elena Pitsik, Vladimir Maksimenko & Alexander Hramov

  4. Institute of Information Technology, Mathematics and Mechanics, Lobachevsky State University of Nizhny Novgorod, Nizhny Novgorod, 603022, Russia

    Vladimir Maksimenko & Alexander Hramov

Authors
  1. Nikita Frolov
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  2. Elena Pitsik
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  3. Vladimir Maksimenko
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  4. Alexander Hramov
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection and analysis were performed by NF, EP and VM. The study was supervised and coordinated by AH. The first draft of the manuscript was written by NF and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Nikita Frolov.

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The authors have no relevant financial or non-financial interests to disclose.

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Frolov, N., Pitsik, E., Maksimenko, V. et al. Applying recurrence time entropy to identify changes in event-related potentials. Eur. Phys. J. Spec. Top. 232, 161–168 (2023). https://doi.org/10.1140/epjs/s11734-022-00743-y

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  • DOI: https://doi.org/10.1140/epjs/s11734-022-00743-y

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