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Title The role of cerebral/behavioral systems(BIS/BAS) in prediction severity of Multiple sclerosis (MS) symptoms
Type of Research Presentation
Keywords cerebral/behavioral systems (BIS/BAS) , Multiple sclerosis (MS)
Abstract Background and Aim : MS is the most common neural disorder in young and middle-aged individuals in the world. The disease starts between 20 and 40 years of age and it is more common among women than men. The evidence of disease progression refers to the interplay between genetic and environmental factors. Three brain / behavior systems reflect brain structures which influence the sensitivity to reinforcing and punishing events, and they control emotional experiences. Methods : The present study is a research conducted by the descriptive-correlational method. A number of 162 MS patients in the city of Shiraz were selected as samples via purposive sampling. The population consisted of all MS patients in the city of Shiraz and the multiple regression analysis was used.Research instruments Jackson-5 scale Developed by Jackson (2009) to appropriately measure r-TST, these scales include the subscale of behavioral approach system (BAS), the fight-flight system, freeze system (FFFS), and behavioral inhibition system (BIS). Six items are considered for each r-RST subscales. Expanded Disability Status Scale (EDSS) The EDSS is a method to evaluate the degree of neural disorder in MS. Developed by John F. Kurtzke, this scale determines the amount of disability in EDSS. This is to quantify the disability in eight functional systems (FSS) (Kurtzk, 1983). Results : In this study, 162 patients with MS were studied. Results show that among the RST indices, the components of behavioral inhibition and the behavioral activation system are significantly able to predict the severity of the extent of disability of MS. Beta values specify that the behavioral inhibition system (? = 0/31, P <0/05) is significant in the severity of disability of MS. Conclusion : Results indicate that the RST components of behavioral inhibition and behavioral activation systems are significantly able to predict the severity of MS and the extent of the disability. Results of the present study also revealed that
Researchers Reza Abdi (First Researcher)، Razieh Pak (Second Researcher)