## 3 Results of the Literature Review
### EEG Studies  
[PERSON] et al. [1] investigated the brain function of burnout patients by analyzing their EEG and neuropsychological results. Thirteen patients diagnosed with burnout syndrome and thirteen controls were compared using four different measures:  
* Frontal asymmetry;
* P300 amplitude;
* Alpha peak frequency;
* Alpha and beta power comparison with eyes open and closed.  
There were no observed differences in asymmetry between the burnout group and the control group, but the former showed significantly reduced P300 amplitude and a  
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Study (Year)** & **Method/Design** & **Characteristics of Samples Studied** & **Main Result(s) Statistical Significance** \\ \hline \multirow{6}{*}{[PERSON] et al. (2014) [24]} & & The severity of burnout among physicians was unexplained by “decreased” brain activity related to empathy. & \\  & Investigated the relationship between self-reported burnout severity scores and psychological measures of empathic disposition. & 25 nursesin active service with less than 11 years of experience (20  
significantly lower alpha peak frequency than the control group. Comparing the power of alpha and beta with eyes open and closed,
* Beta potency was significantly reduced in burnout patients compared to the control group;
* There was no difference in alpha potency compared to the control group.  
This study showed clear differences in the parameters obtained from the EEG in burnout patients compared to a healthy control group.  
In a study by [PERSON] et al. [18], 117 participants (42 of whom were male, 35.90%) were included from a large pool of individuals who completed questionnaires on burnout and depression. The aim of the study was to test whether individual alpha frequency (IAF) and IAF frequency power and coherence (IAF \(\pm\) 1 Hz) differentiated between burnout and depression syndromes, i.e., to serve as potential biomarkers. Patients were seated in a chair and told to rest with their eyes closed while their EEG was recorded for three minutes. The results showed that gender was a significant predictor. Seven out of twelve interactions between EEG indicators and gender were significant. Connection patterns were also significant for depression, showing gender-related differences. A significant positive association was found between IAF and job burnout when observed at the posterior location. Statistical regression analysis showed that IAF was significantly associated with depressive symptomatology, while power was mainly associated with occupational burnout, suggesting the different value of IAF and power in predicting occupational burnout and depression. The results of this study provided a strong rationale for considering occupational burnout as a distinct clinical syndrome from depression.  
In the study by [PERSON] et al., a significantly lower alpha power under open-eye conditions was observed in the burnout group compared to the control group. Possible development of compensatory mechanisms were also found in the burnout group. Gender appeared to be a differentiating factor in the association between EEG spectral characteristics and burnout symptoms [19].  
For comparison, central fatigue was studied in 50 patients with chronic fatigue syndrome (CFS) and 50 healthy controls using resting EEG taken from 19 scalp sites for 3 min with eyes closed. Significant differences were found in the frequency bands: -delta (1-3 Hz): sources mainly in the frontal lobe, and -beta-2 (19-21 Hz): sources in the medial and superior parietal lobes. Left leading delta sources were correlated with clinically reduced motivation [20].  
Abnormal cortical sources werealso seen in patients with CFS. This ledto the conclusion that early processes related to chronic stress and fatigue can be monitored by means of EEG. An increase in dysfunction of the brain's regulatory systems was observed at different stages of burnout, correlating with an increase in the severity of clinical symptoms [21].