Abstract
The task of analyzing the reactive patterns of electroencephalogram (EEG) in individuals with panic attacks before and after non-drug therapy associated with the activation of artificial stable functional connections of the human brain is considered. The quantitative measures of the photic driving reaction for the suggested frequency are estimated by increasing the energy of the wavelet spectrum during the photostimulation and the parameters of the joint recurrence plot of the light stimulus and EEG pattern.
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Acknowledgments
This study was supported by the Program of Fundamental Scientific Research of State Academies for 2013–2020 (GP-14, section 64). The author thanks T. N. Reznikova, Prof. of St. Petersburg Human Brain Institute for her help with data recordings.
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Dick, O.E. (2020). Wavelet and Recurrence Analysis of EEG Patterns of Subjects with Panic Attacks. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research III. NEUROINFORMATICS 2019. Studies in Computational Intelligence, vol 856. Springer, Cham. https://doi.org/10.1007/978-3-030-30425-6_20
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DOI: https://doi.org/10.1007/978-3-030-30425-6_20
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