The relationship between the functional state of the brain and clinical and constitutional factors in schizophrenia

Galkin S.A.

Mental Health Research Institute — Tomsk National Research Medical Center Russian Academy of Science

ORCID: 0000-0002-7709-3917

Kornetova E.G.

Mental Health Research Institute — Tomsk National Research Medical Center Russian Academy of Science

ORCID: 0000-0002-5179-9727

Oshkina T.A.

Mental Health Research Institute — Tomsk National Research Medical Center Russian Academy of Science

ORCID: 0000-0003-0927-0050

Kornetov A.N.

Siberian State Medical University

ORCID: 0000-0002-2342-7504

Lebedeva V.F.

Mental Health Research Institute — Tomsk National Research Medical Center Russian Academy of Science

ORCID: 0000-0001-9266-8291

Bokhan N.A.

Mental Health Research Institute — Tomsk National Research Medical Center Russian Academy of Science;
Siberian State Medical University

ORCID: 0000-0002-1052-855X

The relationship between the functional state of the brain and clinical and constitutional factors in schizophrenia

Authors:

Galkin S.A., Kornetova E.G., Oshkina T.A., Kornetov A.N., Lebedeva V.F., Bokhan N.A.

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Journal: S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(2): 123‑128

DOI: 10.17116/jnevro2024124021123

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To cite this article:

Galkin SA, Kornetova EG, Oshkina TA, Kornetov AN, Lebedeva VF, Bokhan NA. The relationship between the functional state of the brain and clinical and constitutional factors in schizophrenia. S.S. Korsakov Journal of Neurology and Psychiatry. 2024;124(2):123‑128. (In Russ.)
https://doi.org/10.17116/jnevro2024124021123

Подписка 2025-2 (S.S. Korsakov Journal of Neurology and Psychiatry)

Использование инфографики авторами научных работ

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OBJECTIVE

To establish the relationships of functional changes of the brain of patients with schizophrenia with clinical manifestations of the disease and their constitutional and morphological features.

MATERIAL AND METHODS

One hundred and eighteen patients with schizophrenia (64 men and 54 women), aged 33 [29; 40], years were examined. The following clinical and dynamic parameters were used: age of manifestation of the disease, duration of the disease, severity of clinical and psychopathological symptoms according to the PANSS. The anthropometric examination of patients was carried out according to V.V. Bunak’s method in V.P. Chitetsov’s modification for adult samples with calculation of Rees—Eysenk and Tanner indices. The EEG was recorded and analyzed in a state of calm, relaxed wakefulness with closed eyes with the calculation of the absolute spectral power for theta (4—7 Hz), alpha (8—13 Hz) and beta (14—30 Hz) rhythms.

RESULTS

Significant (p<0.05) direct correlations between the age of the disease manifestation and the spectral power of the beta rhythm in the frontal leads (Fp1, Fp2, F3 and F4) were revealed. Inverse correlations (p<0.05) were found between the duration of the disease in patients with schizophrenia and the spectral power of the alpha rhythm in the left temporal (T3) and right central leads (C4), the spectral power of the beta rhythm in the parietal-occipital (P3, P4, O1,O2) and temporal leads (T3, T4, T5), the spectral power of the theta rhythm in the left occipital (O1) and posterior temporal leads (T5). Significant inverse correlations were also found between the Tanner index and the spectral power of the alpha rhythm in the frontal and temporal leads, between the Rees—Eysenk index and the spectral power of the theta rhythm in the frontal leads.

CONCLUSION

The results indicate the presence of the conjugation of functional changes in the brain of patients with schizophrenia with clinical manifestations of the disease and their constitutional and morphological features. Thus, the assessment of the functional state of the central nervous system in patients with schizophrenia is an important component of the diagnostic search.

Keywords:

schizophrenia

electroencephalography

constitutional—morphological type

Rees—Eysenk index

Tanner index

Authors:

Galkin S.A.

Mental Health Research Institute — Tomsk National Research Medical Center Russian Academy of Science

ORCID: 0000-0002-7709-3917

Kornetova E.G.

Mental Health Research Institute — Tomsk National Research Medical Center Russian Academy of Science

ORCID: 0000-0002-5179-9727

Oshkina T.A.

Mental Health Research Institute — Tomsk National Research Medical Center Russian Academy of Science

ORCID: 0000-0003-0927-0050

Kornetov A.N.

Siberian State Medical University

ORCID: 0000-0002-2342-7504

Lebedeva V.F.

Mental Health Research Institute — Tomsk National Research Medical Center Russian Academy of Science

ORCID: 0000-0001-9266-8291

Bokhan N.A.

Mental Health Research Institute — Tomsk National Research Medical Center Russian Academy of Science;
Siberian State Medical University

ORCID: 0000-0002-1052-855X

Received:

25.06.2023

Accepted:

17.11.2023

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