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Introduction: Fibromyalgia is a chronic and widespread pain syndrome, which is often accompanied by emotional disturbances. In this study, a hypothetical model of the effect of alexithymia, anxiety, and depression on pain severity in female patients with fibromyalgia in Tehran was tested. Materials and Methods: In this cross sectional study, we selected 150 women with Fibromyalgia via convenience sampling. The patients were completed alexithymia (TAS-20), depression and anxiety (HADS), and pain intensity (SF-MPQ) scales. Results: The results indicated that the structural model of the variables was fitting well. Pain variable was found to be correlated with Alexithymia, depression, and anxiety. In this model, Alexithymia, depression, and anxiety have significant effects on pain severity. Conclusion: This study demonstrated that anxiety and depression, which may be avoided and not expressed by individual, can affect pain in women with fibromyalgia. The findings suggest that interventions based on emotion regulation can effect on decreasing pain intensity in women suffering from fibromyalgia.

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Introduction: Attempting to recognize specific QEEG markers in depression and obsessive-compulsive disorders is the one of main interests of research in quantitative electroencephalography. The purpose of the present study was to compare the absolute power of brain waves in the frontal area in people with major depressive disorder and obsessive-compulsive disorder. Materials and Methods: The method of this study is causal-comparative. The statistical population of this study consisted of all individuals with major depressive disorder and obsessive-compulsive disorder referring to the mental health Clinic of Fatemi Hospital in 2019 in Ardabil, Iran. 15 people with major depressive disorder and 15 subjects with obsessive-compulsive disorder were selected by purposeful sampling. Furthermore, 15 normal individuals were selected via the sampling method from the relatives of patients. Psychiatric diagnosis and structured clinical interview, Beck depression inventory, and Foa et al. obsessive-compulsive inventory were used to collect data. The QEEG recording was performed at the Psychological Laboratory of Mohaghegh Ardabili University and the data were analyzed by Neuroguide software. Results: The results showed that the absolute power of delta (F= 3.444), theta (F= 51.566), alpha (F= 217.1144), and beta (F= 175.555) waves differ between people with depressive disorder and obsessive-compulsive disorder compared to the control group. The delta, theta, and alpha absolute power at frontal lobes of patients with obsessive-compulsion significantly increased, and the alpha and beta absolute power at frontal lobes of patients with major depressive disorder significantly decreased compared to the control group. Conclusions: These results showed that the pattern of brain waves can be posed as an index for diagnosing and follow-upping of the therapeutic outcomes of major depression and obsessive-compulsive disorders. Furthermore, it can be used in designing neurofeedback interventions for these disorders.