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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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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