Introduction: Considering that divorced women are exposed to a variety of psychological injuries because of the suffering of loneliness and lack of solid support. Aim: This study aimed to assess the effectiveness of Self-Compassion Training on the Loneliness and resilience Destitute women. Method: The statistical population consisted of all divorced women protected by the Welfare Organization of Khorramabad in 2017. The 30 of patients were selected by random sampling method and randomly divided into experimental and control groups. At first, loneliness and resiliency questionnaires were implemented as a pretest, and the training focused on compassion for the experimental group was performed in 8 sessions, but the control group did not receive any training. In the final stage, all subjects responded to the questionnaires as a post-test. Results: The results of covariance analysis showed that after moderating the pre-test scores, the mean scores of loneliness and its sub-components of loneliness and family loneliness were significantly lower in the burnout-focused group than the control group (p <0.05), And in the training group focused on compassion, the mean score of resiliency was significantly higher than the control group (p <0.05). Conclusion: Concentrated compassion-based education can reduce the negative thoughts that lead to individual differentiation from others and increase the mechanism of positive compromise in divorced women under protection of well-being.

Development of Parkinon's disease causes functional impairment in the brain network of Parkinson's patients. The aim of this study is to analyze brain networks of people with Parkinson's disease based on higher resolution parcellations and newer graphical features. The topological features of brain networks were investigated in Parkinson's patients (19 individuals) compared to healthy individuals (17 individuals) using graph theory. In addition, four different methods were used in graph formation to detect linear and nonlinear relationships between functional magnetic resonance imaging (fMRI) signals. The functional connectivity between the left precuneus and the left amygdala, as well as between the vermis_1_2 and the left temporal lobe was evaluated for the healthy and the patient groups. The difference between the healthy and patient groups was evaluated by non-parametric t-test and U-test. Based on the results, Parkinson's patients showed a significant decrease in centrality criterion compared to healthy subjects. Furtheremore, changes in regional features of brain network were observed. There was also a significant difference between the two groups of healthy subjects and Parkinson's patients in different areas by applying centrality criterion and the correlation coefficients. The results obtained for topological features indicate changes in the functional brain network of Parkinson's patients. Finally, similar areas obtained by all three methods of graph formation in the evaluation of connectivity between paired regions in the brain network of Parkinson's patients increased the reliability of the results.

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