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Search for Markers of Moderate Cognitive Disorders Through Phase Synchronization Between Rhythmic Photostimulus and EEG Pattern

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Advances in Neural Computation, Machine Learning, and Cognitive Research VI (NEUROINFORMATICS 2022)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 1064))

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Abstract

The aim of this work is to search for markers of moderate cognitive impairment in electroencephalographic patterns based on the study of the degree of synchronization between the stimulus and the response of the brain in various forms of vascular genesis and the presence or absence of cognitive disorders. To search for such markers, the methods of nonlinear dynamics associated with the synchrosqueezed wavelet transform and the analysis of joint signal recurrences were used. It was shown that the parameters of phase synchronization differ significantly in individuals with cardiac arrhythmias and moderate cognitive disorders.

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Acknowledgments

The work was financially supported by the Ministry of Science and Higher Education of the Russian Federation, Agreement No. FSRF-2020-0004.

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Authors and Affiliations

  1. Pavlov Institute of Physiology of RAS, nab. Makarova, 6, 199034, St. Petersburg, Russia

    Olga E. Dick

Authors
  1. Olga E. Dick
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Correspondence to Olga E. Dick .

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Editors and Affiliations

  1. Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

    Boris Kryzhanovsky

  2. Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

    Witali Dunin-Barkowski

  3. Scientific Research Institute for System Analysis, Russian Academy of Sciences, Moscow, Russia

    Vladimir Redko

  4. Moscow Aviation Institute (National Research University), Moscow, Russia

    Yury Tiumentsev

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Dick, O.E. (2023). Search for Markers of Moderate Cognitive Disorders Through Phase Synchronization Between Rhythmic Photostimulus and EEG Pattern. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research VI. NEUROINFORMATICS 2022. Studies in Computational Intelligence, vol 1064. Springer, Cham. https://doi.org/10.1007/978-3-031-19032-2_19

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