Iranian Journal of Psychiatry最新文献

Objective: To investigate the accuracy of facial emotion recognition in the Iranian community, a face database validated in this community is required. To do this, we conducted a validation study on the Radboud face database. The primary objective of this study was to evaluate the accuracy of recognizing emotions through faces in an Iranian sample and then to choose the pictures with high agreement in terms of detecting emotions. Method : This is a cross sectional study recruiting a total number of 142 males and females aged between 20 and 50 years old (Mean ± SD of age 31.7 ± 7.07). The participants were instructed to detect the type of emotion of each face as well as its valence and arousal. The percentage of participants' agreement on evaluating each picture was assessed. To evaluate the effect of different variables on participants' accuracy, one way and repeated measure ANOVA analyses were also used. Results: Emotional faces were recognized by around 84% of the participants. The highest accuracy belongs to happy (Mean ± SD of 98 ± 6.1%) and the lowest one to neutral (75 ± 18.06%) faces. The accuracy for detecting other emotions were as follows: sad (91 ± 8.7%), surprised (87 ± 10.64%), angry (77 ± 15.6%), and fearful (76 ± 15.26%). Additionally, we found no differences between male and female participants in terms of recognizing emotions. Then we selected the pictures with high agreement (above 85 percent) in labeling emotions among the participants. Conclusion: The current study provided a valid emotional face database based on Iranian participants' responses in terms of recognizing basic emotions. The selected pictures can be used in designing tasks to evaluate emotion recognition ability in clinical and nonclinical populations. It can also be used in designing applications to improve detecting emotion in clinical samples such as individuals with autism spectrum disorder.

Objective: Parkinson's disease dementia (PDD) and Dementia with Lewy bodies (DLB) are two syndromes categorized under synucleinopathy, sharing comparable symptoms. The identification of biomarkers would offer an accurate approach for improved diagnosis, treatment, and monitoring of treatment efficacy for these distinct forms of dementia. Method : This study utilized spectral analysis and nonlinear dynamic analysis to compare electroencephalogram (EEG) characteristics between PDD and DLB patients. EEG data was collected from 30 PDD patients, 36 DLB patients, and 36 healthy subjects at rest. Following a conditioning phase to minimize noise and eliminate artifacts, we derived spectral and complexity features using Welch's method and sample entropy. Analysis of variance with repeated measures was performed to compare spectral features and nonlinear dynamics of brain activity between the groups. Results: Post hoc comparison showed that in the control group, the power of delta and theta bands was lower and the power of alpha and beta bands was higher than in patients with PDD and DLB. (P < 0.05). In the theta and alpha bands, the PDD group showed greater power than the DLB group (P < 0.05). Furthermore, there was a significant main effect of diagnosis (F = 4.67, P = 0.007), and also the diagnosis by region interaction for complexity values (F = 4.58, P = 0.009). Post hoc analysis showed that the EEG complexity of the control group was significantly higher than that of the PDD and DLB groups in the frontal, central, temporal and parietal regions (P < 0.05). Moreover, the EEG complexity of the PDD group was significantly higher than that of the DLB group in the central, temporal and parietal regions (P < 0.05). Conclusion: Although both PDD and DLB had almost similar patterns compared to the control group, they showed differences in the EEG power spectrum and its nonlinear dynamics. Our findings indicated marked diffuse slowing and lower cortical complexity or activity in DLB patients compared to PDD in all regions, especially in the central, temporal and parietal areas.

Objective: Understanding neural mechanisms underlying cognitive workload is crucial for advancing our knowledge of human cognition and mental processes. In this study, we utilized electroencephalography (EEG) analysis to investigate brain activity associated with varying mental cognitive workloads from a psychological perspective. Method : We employed a publicly accessible EEG dataset consisting of a cohort of 36 healthy volunteers (75% female), aged 18 to 26 years, while the participants were at rest or engaged in an arithmetic task to explore mental cognitive workload. After preprocessing to reduce noise and various artifacts and to obtain a clean signal for every subject, functional connectivity and complexity features were calculated from EEGs through the coherence and permutation entropy algorithms, respectively. Then, repeated measures analysis of variance (ANOVA) was conducted to assess the differences in complexity and connectivity measures across various brain regions between the rest and task states. Results: Brain sites showed significant within-subject effects, and the interaction between states and channels was significant for connectivity values (F = 3.68, P = 0.034). Post hoc comparisons indicated that FP1-F7, FP1-F8 and FP1-Fz connectivity were significantly lower during the task state compared to the rest state (P < 0.05). Moreover, F4-P3, F4-P4, FP1-O1, FP2-O2, F3-O1, F4-O1, F8-O1, C4-O1, F3-O2, F4-O2, F7-O2, F8-O2, Fz-O1, Fz-O2, Cz-O1 and Fz-P4 connectivity were significantly higher during the arithmetic task state (P < 0.05). Furthermore, brain sites showed significant within-subject effects and the interaction between states and channels was significant for entropy values (F = 3.50, P = 0.041). Post hoc comparisons indicated that the permutation entropy was significantly higher in the FP1, T3, T4, P4 and Pz channels during the arithmetic task compared to the rest state (P < 0.05). Conclusion: During arithmetic tasks, the increased connectivity in the frontoparietal and frontooccipital networks and heightened complexity in the prefrontal, temporal and parietal lobes reflect the collaborative engagement of brain areas specialized in numerical processing, attention, working memory, cognitive control, and visual-spatial cognition. These changes in connectivity and complexity facilitate the integration of multiple cognitive processes essential for effective arithmetic problem-solving.

Objective: Claims have been made that more sexual liberalism in society than what generally existed in human history is necessary to promote societal tranquility and reduce violence. This research was conducted to investigate the real relationship between sexual behavior and aggression based on scientific data especially from the perspective of physiological psychology. Method : This study was a narrative review and utilized evidence-based findings from neuropsychology, psychophysiology, laboratory research, and field studies. Databases were explored for related terms until sufficiency was reached. The findings were categorized and analyzed descriptively and interpretively to establish connections between the findings. Ultimately, a comprehensive conceptualization was developed to conclude a theory on the relationship between sexual behavior, sexual satiety, and aggression. Results: The study indicated that unrestrained sexual behavior leads to an escalation of the behavior, rather than satiation, and aggression rather than calmness. This may be due to positive feedback in the nervous and hormonal systems, specifically mediated by the medial preoptic area (MPA) and testosterone, leading to aggressive behavior. However, since sexual deprivation can potentially lead to aggression, it is advisable to view the relationship between sexual activity and violence as a non-linear one. Conclusion: This paper establishes that the intensification of sexual behaviors leads to increased violence and aggression in society, ultimately elevating levels of public insecurity. Therefore, limiting sexual behavior within the framework of the relationship of married couples may serve as a moderating factor for this phenomenon.

Objective: Child-oriented psychotherapies, such as Attention Process Training (APT), target ADHD symptoms directly, whereas family-oriented interventions, like Parent Management Training (PMT), address its functional impairments. The aim of this study was to compare the effectiveness of APT and PMT in treating ADHD symptoms. Method : This research was a randomized controlled trial in which 45 children (26 females and 19 males, with a mean age of 8.47 ± 1.66 years) with ADHD were selected conveniently and assigned randomly to one of three groups (PMT = 15, APT = 15, and CTRL = 15). The groups had no significant differences in ADHD severity. The PMT children were managed with parenting techniques. Children in the APT group practiced attention techniques, while children in the control group did not receive any intervention. Ritalin was prescribed to all the children in the three groups. The score on the Conners Parenting Rating Scale-Revised: Short form was the outcome variable. Results: Both interventions decreased ADHD symptoms severity more than the control group. Howver, the reduction in the APT group was more than in the PMT group (P-value < 0.001). The scores of 40% of the APT group and 80% of the PMT group did not fall below the cut-off point. In the APT group after the intervention, the inattention subscale was significantly lower than the hyperactivity subscale, while in the PMT group, the hyperactivity subscale was lower. The effect sizes of APT and PMT were 2.18 and 2.09, respectively. Conclusion: For ADHD, psychological interventions are crucial in addition to medication. According to the results of this study, APT is more effective for inattention symptoms, while PMT is more effective for hyperactivity symptoms. When selecting psychotherapy, the subtype of ADHD should be taken into account. Treatment sessions must also be completed according to intervention protocols.

Objective: Dementia is a broad term referring to a decline in problem-solving abilities, language skills, memory, and other cognitive functions to a degree that it significantly disrupts everyday activities. The underlying cause of dementia is the impairment or loss of nerve cells and their connections within the brain. The particular symptoms experienced are contingent upon specific regions of the brain affected by this damage. In this research, we aimed to investigate the nonlinear dynamics of the mixed demented brain compared to healthy subjects using electroencephalogram (EEG) analysis. Method : For this purpose, EEG was recorded from 66 patients with mixed dementia and 65 healthy subjects during rest. After signal preprocessing, sample entropy and Katz fractal dimension analyses were applied to the preprocessed EEG data. Analysis of variance with repeated measures was utilized to compare the nonlinear dynamics of brain activity between dementia and healthy states and partial correlation analysis was employed to explore the relationship between EEG complexity measures and cognitive and neuropsychiatric symptoms of patients. Results: Based on repeated measures ANOVA, there was a significant main effect between groups for both Katz fractal dimension (F = 4.10, P = 0.01) and sample entropy (F = 4.81, P = 0.009) measures. Post hoc comparisons revealed that EEG complexity was significantly reduced in dementia mainly in the occipitoparietal and temporal areas (P < 0.05). MMSE scores were positively correlated with EEG complexity measures, while NPI scores were negatively correlated with EEG complexity measures, mainly in the occipitoparietal and temporal areas (P < 0.05). Moreover, using a KNN classifier, all significant complexity measures yielded the best classification performance with an accuracy of 98.05%, sensitivity of 97.03% and specificity of 99.16% in detecting dementia. Conclusion: This study demonstrated a unique dynamic system within the brain impacted by dementia that results in more predictable patterns of cortical activity mainly in the occipitoparietal and temporal areas. These abnormal patterns were associated with patients' cognitive capacity and neuropsychiatric symptoms.

Objective: With the increase of game addiction, the problem of aggression as one of the most serious issues confronting today's society is affecting the mental health of the young generation. While available research has clarified the relationship between game addiction and aggression, this research contributes to future literature through examining the mediating role of narcissism and self-control in this relationship. Method : This study is a quantitative, cross-sectional, correlational research conducted in 2023 on Malaysian adolescents aged 12 to 18 years. Volunteer adolescents completed self-report questionnaires including the Buss and Perry Aggression Questionnaire, Gaming Addiction Scale, Childhood Narcissism Scale, and Brief Self-Control Scale. All questionnaires were prepared through a Sojump link posted on social media platforms. Descriptive statistics, Pearson correlation analysis, and path analysis were used for statistical analysis. Results: N = 595 adolescents were participated in this survey. According to correlation analysis, there were significant positive correlations between game addiction and aggression (r = 0.777, P < 0.001), game addiction and narcissism (r = 0.785, P < 0.001) as well as a significant negative correlation between game addiction and self-control (r = -0.668, P < 0.001). Besides, narcissism and self-control could significantly partially mediate the relationship between game addiction and aggression. The mediation model discovered a significant path from game addiction to narcissism (β = 0.785, CI = [0.7692, 1.0293], P < 0.001) and from narcissism to aggression (β = 0.442, CI [0.7731, 1.7244], P < 0.001). The total effect of game addiction on aggression was found to be statistically significant (β = 0.777, P < 0.001). Conclusion: The findings of this research reveal a captivating profile, indicating that specific psychological attributes such as aggression, self-control, and narcissistic tendencies might make certain individuals more susceptible to developing an addiction to online games.

Objective: Manic and mixed episodes of bipolar disorder are important episodes of this disorder. The aim of the current study was to assess serum vitamin D (SVD) levels in patients with mania and mixed bipolar disorder, compared to healthy subjects. Method : The current cross-sectional study was conducted on 75 subjects, including healthy subjects (n = 25), patients with acute-phase mania (n = 25), and patients with mixed bipolar disorder (n = 25). The SVD levels were measured in all of the enrolled subjects. The Hamilton Depression Rating Scale (HDRS), Young Mania Rating Scale (YMRS), and Clinical Global Impression- Severity (CGI-S) were used to assess disease activity in patient groups. Data analysis was performed using SPSS version 18. For statistical analysis, analysis of variance (ANOVA), independent-sample t test, Pearson correlation, and Chi-square tests were utilized. P-values < 0.05 were considered statistically significant. Results: The results showed that the mean of SVD was significantly lower in mania and mixed bipolar patients compared to healthy subjects (P < 0.05). In addition, the number of subjects with SVD ≥ 20 ng/ml was higher in the healthy group compared to the patient groups (P < 0.05). Also, SVD was negatively correlated with the CGI-S (r = -0.311; P = 0.028), YMRS (r = -0.464; P = 0.001), and HDRS (r = -0.393; P = 0.005) in the total patient subjects. Conclusion: Prevalence of low SVD was considerably high in mania and mixed bipolar patients compared to healthy subjects. Additionally, meaningful negative correlations were found between SVD and disease activity-related variables including the HDRS, YMRS, and CGI-S.

Objective: The Temperament Evaluation of Memphis, Pisa, Paris, and San Diego - Auto-questionnaire (TEMPS-A) assesses five affective temperaments and has been translated into 32 languages. A 35-item short version is available in Persian, but the complete version is not yet translated. This study aimed to assess the validity and reliability of the complete Persian version of the TEMPS-A in an Iranian population. Method : This descriptive study translated the TEMPS-A questionnaire from English to Persian using a standard forward-backward method. The translation was evaluated for face and content validity by 10 psychiatry specialists, with quantitative content validity assessed through content validity ratio (CVR) and content validity index (CVI) calculations. The Persian TEMPS-A was completed twice, with a two-week interval, by 30 individuals out of the 319 medical staff of Imam Hossein Hospital in Tehran, Iran, who participated in the study, and its reliability was evaluated using Cronbach's alpha. The questionnaire was then distributed to the entire sample (n = 319) for the analysis of temperament frequencies and statistical indices by a statistician. Results: The Persian version of the TEMPS-A, consisting of 110 items across five factors (depressive, cyclothymic, hyperthymic, irritable, and anxious), demonstrated excellent reliability with Cronbach's alpha values of 0.910, 0.909, 0.911, 0.910, and 0.909, respectively. The questions related to cyclothymic and hyperthymic temperaments exhibited the highest and lowest correlation coefficients with the general scale, respectively. Most subscales in the Persian TEMPS-A version showed correlation coefficients ranging from 0.28 to 0.68. An ANOVA with Cochrane's test revealed a significant difference in the mean scores of the questionnaire items (P < 0.001), with a grand mean score of 1.73 across all questions. Conclusion: The Persian version of the TEMPS-A, consisting of 110 items, showed good internal consistency and a strong correlation with the original version. This suggests that it is suitable for use in temperament studies among the Iranian population.

Objective: The main objective of this study was to determine various characteristics and outcomes of self-harm and suicide in men and women with data obtained from the National Trauma Registry of Iran (NTRI). Method : This retrospective multicenter study using data from the NTRI included all patients who went to the emergency department (ED) due to self-harm and suicide, considering the NTRI's specific inclusion criteria, from September 2016 to January 2023. We evaluated patients regarding demographics and clinical characteristics, various outcomes, and factors influencing in-hospital death. Statistical analyses were conducted using the STATA software version 15.0. The chi-square test was used to compare the distribution of variables between men and women. Also, the logistic regression models were applied to assess the predictors of in-hospital death. Results: Self-harm and suicide cases were gathered from eleven geographically diverse hospitals across the country, and our study included 511 men and 347 women out of 50,661 registered trauma cases. Among them, 443 men (86.7%) and 267 women (76.9%) were between 18 and 49 years old (P < 0.001). Single women constituted 130 (37.3%) of the female cases, while single men were 313 (61.6%) of the male cases (P < 0.001). The three most common methods among our patients were poisoning with 234 (45.8%) of men and 245 (70.6%) of women cases, stab/cut with 208 (40.7%) of men and 54 (15.6%) of women cases, and fall with 16 (3.1%) of men and 26 (7.5%) of women cases (P < 0.001). The risk of death in patients with a Glasgow Coma Scale (GCS) score of 3 to 8 was 46.22 (95% CI = 18.66 to 114.45) times more than patients with a GCS score of 13 to 15. Conclusion: Data on self-harm and suicide traumatology were gathered from eleven hospitals in Iran. Our findings indicated differences in the distribution of age and marital status between genders. Moreover, both genders used similar methods for self-harm and suicide, and gender did not affect the outcome.