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Introduction: Emotional disorders had immense impact on rehabilitation in the traumatic brain injury patients. This study is to investigate correlation of difficulties in emotional regulation in the mild traumatic brain injury patients compared with that in the normal people.

Materials & methods: This prospective cohort study was carried out on 72 mild traumatic brain injury (MTBI) victims and 72 other normal individuals in Shahid Beheshti hospital in Kashan city. Difficulties in Emotion Regulation (DERS), Positive and Negative Affect Schedule (PANAS) scales, demographic data, and related neurological questionnaires were used. The data were analyzed using T test, Chi square and multivariate linear regression.

Findings: The results of this study showed that mean standard deviations for emotional regulation were 112.6±21.8 and 93±14 in the TBI and control groups, respectively (P<0/001). In terms of PANAS, no significant difference was observed in both groups (P<0/001). Linear regression analysis in the TBI group demonstrated that (&beta;=20/4, P<0/001), age (&beta; – 0/339, P -0/01), familial history of mental disorder among first-grade relatives (&beta;- -9/419, P-0/01), economical status (&beta;-6/108, P-0/04), and history of underlying disease (&beta;-15/014, P-0.00) were predictor.

Discussion & Conclusions: Linear regression analysis of a few variables showed that being included in the patients group is the main effective variable on the difficulties in emotional regulation. Psychological cognitive rehabilitation therapy is one of the crucial meditation interventions in patients with traumatic brain.

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Introduction: Nowadays, the artificial neural networks have received much attention in predicting the effects of multiple variables and complex relationships in aparticular variables. In this study, we have focused on the use of artificial neural network versus logistic regression to predict post-traumatic mental disorders.

Materials & methods: In a prospective cohort study, we covered 100 trauma patients admitted to the trauma center of Shahid Beheshti Hospital of Kashan during a six month period. The patients were then randomly divided into two training (n=50) andexperimental(n=50) groups. 14 variablesincluding age, sex, occupation, education level, marital status, socioeconomic status, history ofmental illnessin theimmediate family, history of being hospitalized in neurosurgeryunit, historyof trauma,history ofunderlying disease, history of psychologicaldrug use, history of anesthesia, history of alcohol use, and history of substance abuse were totally investigated. 300artificial neural networksandlogistic regressions were studied in the first group and then the predicted values were compared in the second group using the two models. The ROC curve and classification accuracy tool were applied to estimate the predictive power of mental disorder.

Findings: The results showed that the accurate index for predicting the disorder was90.65% for the neural network model, while it was 75.96% for the logistic regression model.

Discussion & conclusions: The artificial neural network models appeared to bemore powerful in predictingmental disorder versus the logistic regression model.

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Introduction: The most common causes of traumatic brain injury are vehicle crashes, including motorcycles, which lead to long-term disabilities. The purpose of this study was to investigate the effect of mild brain trauma on intelligence and memory function in motorcycle riders suffering from mild tumor injury.
 
Materials & Methods: In this prospective cohort study, intelligence and memory functions of 87 motorcyclists suffering from mild traumatic brain injury were investigated at the beginning of the study (M=0, IQ=0) and six months after the trauma (M=6, IQ=6) using Wechsler intelligence and memory scale. Moreover, the obtained results were compared with those of 87 normal people. Data were analyzed using ANCOVA, the Chi-square and independent t-test.
 
Findings: The mean score of the Wechsler memory scale in motorcycle riders with mild traumatic brain injury were similar to those of normal subjects at the beginning of the study. However, this score was lower in traumatic brain injury patients six months after the trauma, compared to normal people. Moreover, the obtained results showed a significant difference between the intelligence function of traumatic brain injury patients and that of normal people only six months after the trauma (P≤0.05).
 
Discussion & Conclusions: According to the results, patients with mild traumatic memory and conceptualization are slightly weaker than normal patients. In addition, there was a significant difference between the patients and normal people regarding the intelligence function. Cognitive rehabilitation is one of the necessary psychological interventions for the treatment of patients with traumatic brain injuries.