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Quantitative EEG Findings in Outpatients with Psychosomatic Manifestations After COVID-19

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Bioinformatics and Biomedical Engineering (IWBBIO 2023)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 13919))

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Abstract

EEG is considered an important tool in the diagnostic and treatment process of patients with neurological manifestations of COVID-19, especially with encephalopathy, seizures, and status epilepticus. The present research was aimed at quantitative and visual analysis of the EEG of 85 neuropsychiatric outpatients with COVID-19 history and with psychosomatic complaints at the time of the examination. The control group consisted of 35 healthy subjects. Three types of EEG patterns have been established: polymorphic low-frequency activity; low-frequency polymorphic activity with a predominance of delta, theta rhythms; high frequency EEG with a visible dominant of the beta1 range. The correlation index in the alpha range is stable for the EEG in the control group, where in 90% of the subjects the correlation coefficients in the alpha range were more than 0.6. On the contrary, patients have a polymorphic picture, stable indicators with a coefficient of more than 0.6 for all the studied connections, both between the hemispheres and within the hemispheres were registered only in 25% of the subjects. Analysis of the coherence coefficients in patients, on the contrary, shows a higher stability of interhemispheric connections and various options for reducing connections within the hemispheres, which often have a “mirror character”.

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Authors and Affiliations

  1. St. Petersburg State Pediatric Medical University, St. Petersburg, 194100, Russia

    Sergey Lytaev, Nikita Kipaytkov & Tatyana Navoenko

Authors
  1. Sergey Lytaev
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  2. Nikita Kipaytkov
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  3. Tatyana Navoenko
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Corresponding author

Correspondence to Sergey Lytaev .

Editor information

Editors and Affiliations

  1. University of Granada, Granada, Spain

    Ignacio Rojas

  2. University of Granada, Granada, Spain

    Olga Valenzuela

  3. University of Granada, Granada, Spain

    Fernando Rojas Ruiz

  4. University of Granada, Granada, Spain

    Luis Javier Herrera

  5. University of Granada, Granada, Spain

    Francisco Ortuño

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Lytaev, S., Kipaytkov, N., Navoenko, T. (2023). Quantitative EEG Findings in Outpatients with Psychosomatic Manifestations After COVID-19. In: Rojas, I., Valenzuela, O., Rojas Ruiz, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2023. Lecture Notes in Computer Science(), vol 13919. Springer, Cham. https://doi.org/10.1007/978-3-031-34953-9_43

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  • DOI: https://doi.org/10.1007/978-3-031-34953-9_43

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  • Online ISBN: 978-3-031-34953-9

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