Determining the risk of maladaptation using an electroencephalogram to prevent mental strain

Popova T.V.; Koryukalov Y.I.; Kourova O.G.

doi:https://doi.org/10.17116/jnevro202412408197

Popova T.V.

South Ural State University (National Research University)

ORCID: 0000-0002-5060-8132

Koryukalov Y.I.

South Ural State University (National Research University)

ORCID: 0000-0002-4897-2613

Kourova O.G.

South Ural State University (National Research University)

Determining the risk of maladaptation using an electroencephalogram to prevent mental strain

Authors:

Popova T.V., Koryukalov Y.I., Kourova O.G.

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Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(8): 97‑102

DOI: 10.17116/jnevro202412408197

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To cite this article:

Popova TV, Koryukalov YI, Kourova OG. Determining the risk of maladaptation using an electroencephalogram to prevent mental strain. S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(8):97‑102. (In Russ.)
https://doi.org/10.17116/jnevro202412408197

Подписка 2026 Журнал неврологии и психиатрии им. С.С. Корсакова (S.S. Korsakov Journal of Neurology and Psychiatry)

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OBJECTIVE

To identify criteria for electroencephalogram (EEG) synchronization in patients with post-traumatic stress disorder (PTSD) exhibiting high levels of functional stress and signs of maladaptation.

MATERIAL AND METHODS

Two groups of male subjects aged 23—38 years were examined: a group of subjects receiving therapy for PTSD at a medical center; and a group of healthy subjects who regularly practiced psychophysical relaxation sessions. EEG, an innovative method for analyzing brain synchronizing currents, and the Spielberger State-Trait Anxiety Inventory were used.

RESULTS

Criteria for the formation of patterns of synchronization of neural networks were found in subjects of the therapy group, who have a high level of psychofunctional stress and signs of maladaptation against the background of PTSD in combination with severe anxiety and impaired cognitive abilities.

CONCLUSION

Alpha wave synchronization analysis can be used to more accurately diagnose the level of psychofunctional stress in individuals at risk of developing psychophysical disorders. The results of the work suggest the use of technologies that increase the ability to synchronize brain biocurrents to develop programs for correcting psychophysical status, such as relaxation exercises.

Keywords:

synchronization

electroencephalography

levels of psycho-functional strain

anxiety

cognitive abilities

relaxation

Authors:

Popova T.V.

South Ural State University (National Research University)

ORCID: 0000-0002-5060-8132

Koryukalov Y.I.

South Ural State University (National Research University)

ORCID: 0000-0002-4897-2613

Kourova O.G.

South Ural State University (National Research University)

Received:

18.04.2024

Accepted:

20.05.2024

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