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Reflection of Burnout Severity in a EEG Frequency Pattern

Published online by Cambridge University Press:  26 August 2025

S. Tukaiev ,
S. Mushta ,
A. Popov ,
J. M. A. Ferreira ,
B. Palamar ,
M. Makarchuk  and
I. Zyma
S. Tukaiev*
Affiliation:
Institute of High Technologies, Taras Shevchenko National University of Kyiv
S. Mushta
Affiliation:
Department of electronic engineering, Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine
A. Popov
Affiliation:
Department of electronic engineering, Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine
J. M. A. Ferreira
Affiliation:
Faculdade de Medicina, Universidade de Coimbra, Coimbra, Portugal
B. Palamar
Affiliation:
Department of Social Medicine and Public Health, Bogomolets National Medical University
M. Makarchuk
Affiliation:
Institute of Biology and Medicine, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
I. Zyma
Affiliation:
Institute of Biology and Medicine, Taras Shevchenko National University of Kyiv, Kyiv, Ukraine
*
*Corresponding author.

Abstract

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Introduction

The burnout develops gradually, unnoticed by the person, and its symptoms may appear after several years and leads to serious mental and behavioral changes. The processes underlying burnout are largely unknown due to the lack of specialized studies aimed at identifying specific biomarkers. Based on this, it is necessary to detect the first, critical moment - the first symptoms of burnout.

Objectives

We aimed to examine the EEG frequencies changes relating to severity of Anxiety Tension stage of Emotional Burnout.

Methods

In this study 752 participants, students and staff of Taras Shevchenko National University of Kyiv (Kyiv, Ukraine) were involved (209 males, mean age = 19.2, 543 females, mean age = 18.28). We used the 84-item Boyko’s Syndrome of Emotional Burnout Inventory to measure the emotional burnout formation. We analyzed separate artefact-free EEG segments in all frequency bands from 0.2 to 45 Hz during resting state (3 min, closed eyes condition). In order to identify the EEG signs of emotional burnout the normalized power spectral densities (PSD) were calculated on the segment from 61 to 70 seconds of recordings.

Results

The revealed burnout-related (Anxiety Tension stage) variables in the spectral characteristics of the EEG characterized by the significant changes in the theta 2 (frontal area and left temporal-parietal cortex), alpha 2 (right parietotemporal cortex) and beta 1 subbands (left frontal-central-right parietal axis).

Conclusions

These data pointed to the influence of Anxiety Tension development mostly on the processes associated with short-term memory and focused attention.

Disclosure of Interest

None Declared

Information

Type
Abstract
Information
European Psychiatry , Volume 68 , Special Issue S1: Abstracts of the 33rd European Congress of Psychiatry , April 2025 , pp. S840
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), 2025. Published by Cambridge University Press on behalf of European Psychiatric Association
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