EEG FREQUENCIES PATTERN AS BRAIN SIGNATURE OF EMOTIONAL BURNOUT. ANXIETY TENSION STAGE FORMATION
Introduction. The prospect of increasing annually makes burnout a global phenomenon, one of the most common stress-related and mental disorders. Emotional burnout leads to serious destructive consequences for society, organizations, and interpersonal relationships due to mental and behavioural chang...
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State Institution of Science «Research and Practical Center of Preventive and Clinical Medicine» State Administrative Department
2025-01-01
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| Series: | Клінічна та профілактична медицина |
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| Online Access: | https://cp-medical.com/index.php/journal/article/view/519 |
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| author | Semen A. Mushta Svitlana P. Palamar Dmytro V. Harmatiuk Anton O. Popov Joao M. Alves Ferreira Mykola Yu. Makarchuk Sergii V. Tukaiev |
| author_facet | Semen A. Mushta Svitlana P. Palamar Dmytro V. Harmatiuk Anton O. Popov Joao M. Alves Ferreira Mykola Yu. Makarchuk Sergii V. Tukaiev |
| author_sort | Semen A. Mushta |
| collection | DOAJ |
| description | Introduction. The prospect of increasing annually makes burnout a global phenomenon, one of the most common stress-related and mental disorders. Emotional burnout leads to serious destructive consequences for society, organizations, and interpersonal relationships due to mental and behavioural changes. Burnout develops gradually and often goes unnoticed, with symptoms that may take years to manifest and lead to significant mental and behavioral changes. Despite its impact, the processes underlying burnout remain largely unknown due to a lack of specialized studies identifying specific biomarkers. Early detection of burnout, particularly at the critical onset of symptoms, is essential.
Aim. This study aimed to examine EEG frequency changes associated with the severity of the Anxiety-Tension stage of Emotional Burnout.
Materials and methods. A total of 752 participants, including students and staff from Taras Shevchenko National University of Kyiv (209 males, mean age = 19.2; 543 females, mean age = 18.28), were assessed using the 84-item Boyko’s Syndrome of Emotional Burnout Inventory. EEG data were recorded during a 3-minute resting state with eyes closed, and artifact-free segments from all frequency bands (0.2–45 Hz) were analyzed. Normalized power spectral densities (PSD) were calculated, focusing on the 61–70 second segment of the recordings.
Results. The results revealed burnout-related changes in spectral characteristics associated with the Anxiety-Tension stage, with significant alterations observed in the theta 2 band (frontal and left temporal-parietal cortex), alpha 2 band (right parietotemporal cortex), and beta 1 band (left frontal-central-right parietal axis).
Conclusions. These findings suggest that the Anxiety-Tension stage primarily impacts processes related to short-term memory and focused attention, providing a potential framework for the early identification of burnout through neurophysiological markers. |
| format | Article |
| id | doaj-art-497d925cbb82492498f722ba0f7db1da |
| institution | DOAJ |
| issn | 2616-4868 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | State Institution of Science «Research and Practical Center of Preventive and Clinical Medicine» State Administrative Department |
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| series | Клінічна та профілактична медицина |
| spelling | doaj-art-497d925cbb82492498f722ba0f7db1da2025-08-20T03:21:32ZengState Institution of Science «Research and Practical Center of Preventive and Clinical Medicine» State Administrative DepartmentКлінічна та профілактична медицина2616-48682025-01-0119210010.31612/2616-4868.1.2025.12519EEG FREQUENCIES PATTERN AS BRAIN SIGNATURE OF EMOTIONAL BURNOUT. ANXIETY TENSION STAGE FORMATIONSemen A. Mushta0Svitlana P. Palamar1Dmytro V. Harmatiuk2Anton O. Popov3Joao M. Alves Ferreira4Mykola Yu. Makarchuk5Sergii V. Tukaiev6Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, UkraineBorys Grinchenko Kyiv Metropolitan University, Kyiv, UkraineIgor Sikorsky Kyiv Polytechnic Institute, Kyiv, UkraineIgor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine; Ukrainian Catholic University, Lviv, UkraineUniversidade de Coimbra, Coimbra, PortugalTaras Shevchenko National University of Kyiv, Kyiv, UkraineTaras Shevchenko National University of Kyiv, Kyiv, UkraineIntroduction. The prospect of increasing annually makes burnout a global phenomenon, one of the most common stress-related and mental disorders. Emotional burnout leads to serious destructive consequences for society, organizations, and interpersonal relationships due to mental and behavioural changes. Burnout develops gradually and often goes unnoticed, with symptoms that may take years to manifest and lead to significant mental and behavioral changes. Despite its impact, the processes underlying burnout remain largely unknown due to a lack of specialized studies identifying specific biomarkers. Early detection of burnout, particularly at the critical onset of symptoms, is essential. Aim. This study aimed to examine EEG frequency changes associated with the severity of the Anxiety-Tension stage of Emotional Burnout. Materials and methods. A total of 752 participants, including students and staff from Taras Shevchenko National University of Kyiv (209 males, mean age = 19.2; 543 females, mean age = 18.28), were assessed using the 84-item Boyko’s Syndrome of Emotional Burnout Inventory. EEG data were recorded during a 3-minute resting state with eyes closed, and artifact-free segments from all frequency bands (0.2–45 Hz) were analyzed. Normalized power spectral densities (PSD) were calculated, focusing on the 61–70 second segment of the recordings. Results. The results revealed burnout-related changes in spectral characteristics associated with the Anxiety-Tension stage, with significant alterations observed in the theta 2 band (frontal and left temporal-parietal cortex), alpha 2 band (right parietotemporal cortex), and beta 1 band (left frontal-central-right parietal axis). Conclusions. These findings suggest that the Anxiety-Tension stage primarily impacts processes related to short-term memory and focused attention, providing a potential framework for the early identification of burnout through neurophysiological markers.https://cp-medical.com/index.php/journal/article/view/519emotional burnoutanxiety tensioneegpower spectral density |
| spellingShingle | Semen A. Mushta Svitlana P. Palamar Dmytro V. Harmatiuk Anton O. Popov Joao M. Alves Ferreira Mykola Yu. Makarchuk Sergii V. Tukaiev EEG FREQUENCIES PATTERN AS BRAIN SIGNATURE OF EMOTIONAL BURNOUT. ANXIETY TENSION STAGE FORMATION Клінічна та профілактична медицина emotional burnout anxiety tension eeg power spectral density |
| title | EEG FREQUENCIES PATTERN AS BRAIN SIGNATURE OF EMOTIONAL BURNOUT. ANXIETY TENSION STAGE FORMATION |
| title_full | EEG FREQUENCIES PATTERN AS BRAIN SIGNATURE OF EMOTIONAL BURNOUT. ANXIETY TENSION STAGE FORMATION |
| title_fullStr | EEG FREQUENCIES PATTERN AS BRAIN SIGNATURE OF EMOTIONAL BURNOUT. ANXIETY TENSION STAGE FORMATION |
| title_full_unstemmed | EEG FREQUENCIES PATTERN AS BRAIN SIGNATURE OF EMOTIONAL BURNOUT. ANXIETY TENSION STAGE FORMATION |
| title_short | EEG FREQUENCIES PATTERN AS BRAIN SIGNATURE OF EMOTIONAL BURNOUT. ANXIETY TENSION STAGE FORMATION |
| title_sort | eeg frequencies pattern as brain signature of emotional burnout anxiety tension stage formation |
| topic | emotional burnout anxiety tension eeg power spectral density |
| url | https://cp-medical.com/index.php/journal/article/view/519 |
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