Hostname: page-component-586b7cd67f-2brh9 Total loading time: 0 Render date: 2024-11-29T10:46:04.024Z Has data issue: false hasContentIssue false

EEG CORRELATES OF SOMATIC DISORDERS IN DEPRESSIVE PATIENTS WHO SURVIVED AND HAVE NOT BEEN ILL WITH COVID-19

Published online by Cambridge University Press:  19 July 2023

A. F. Iznak*
Affiliation:
Laboratory of Neurophysiology, Mental Health Research Centre, Moscow, Russian Federation
E. V. Iznak
Affiliation:
Laboratory of Neurophysiology, Mental Health Research Centre, Moscow, Russian Federation
E. V. Damyanovich
Affiliation:
Laboratory of Neurophysiology, Mental Health Research Centre, Moscow, Russian Federation
*
*Corresponding author.

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.
Introduction

Coronavirus infection is accompanied by the development of a wide range of neuropsychiatric and somatic complications.

Objectives

The aim of the study is to assess the severity of somatic disorders and to identify their EEG correlates in depressive patients who had and did not have COVID-19.

Methods

The study involved 30 female depressive patients (F31.3-4, F21.3-4 + F34.0, according to ICD-10), aged 16-25 years, who previously had a mild or asymptomatic coronavirus infection (group "COVID”), and 40 depressive patients matched in gender, age and syndrome structure to patients of the “COVID” group, but who did not have COVID-19 (“non-COVID” group). The pre-treatment severity of depressive symptoms was assessed by the total sum, and by sums of clusters: depression (items 1, 2, 3, 7, 8), anxiety (items 9, 10, 11), sleep disorders (items 4, 5 , 6) and somatic disorders (items 12, 13, 14) of HDRS-17 scale. All patients underwent pre-treatment multichannel (16 leads) recordings of the background EEG followed by analysis of the absolute EEG spectral power (SP) in 8 narrow frequency sub-bands. Statistical analysis of the data was carried out using the methods of descriptive statistics and correlation analysis of the IBM SPSS Statistics, v.22 software package.

Results

The values of the total sums of scores of individual clusters (depression, anxiety, sleep disorders) of the HDRS-17 scale in the “COVID” and “non-COVID” groups did not differ statistically. The exception was a significantly higher (p>0.01) number of complaints of somatic disorders (weakness, heaviness and pain in the muscles, a feeling of loss of energy, loss of strength, decreased libido) in patients who had COVID compared to those who did not (2.4±1.0 and 1.4±1.1 points, respectively). In the “non-COVID” group, the HDRS-17 somatic disorder cluster scores positively correlated with SP values of beta2 EEG (20–30 Hz) in leads F3, F8, and P3. which reflects the increased activation of brain stem structures, characteristic for depressive conditions. In the “COVID” group, these scores correlated with the SP values of alpha3 (11-13 Hz, in leads F4, F8, C4 and T4) and beta2 (20-30 Hz, in C4) not positively, but negatively. Thus, the severity of somatic complaints in patients of this group is associated not with greater, but with less activation of the brain (in particular, of the right hemisphere), which, presumably, may be associated with the “exhaustion” of the central mechanisms of regulation of autonomic functions after suffering COVID disease.

Conclusions

COVID (in a mild or asymptomatic form) did not show a significant effect on the overall severity of depression of the studied group of patients who recovered from COVID, with the exception of a significantly greater severity of their somatic complaints compared to the group of patients who had not been ill with COVID. The study supported by the RSF grant No. 21-18-00129.

Disclosure of Interest

None Declared

Type
Abstract
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of the European Psychiatric Association
Submit a response

Comments

No Comments have been published for this article.