The correlational model of brain behavioral systems with affective and emotional composite temperament dimensions

Abstract
Given that Gray behavioral-brain systems and AFECT combined nature emotional-affective model, a biological model of personality is introduced which forms individual differences so that each activity results in calling of different reactions. This present research aimed to provide relational patterns of behavioral-brain systems with dimensions of combined nature emotional-affective model. Statistical population contained 220 university students from ShahidMadani University of Azarbaiijan that sampling method was categorical clustering and subjects were tested by Jackson Personality Questionnaire and AFFECT. To analysis data, Pearson correlation coefficient and simultaneous multi regression were done. Results of regression showed that all dimensions of AFECT combined nature emotional-affective model are predictable from relational patterns of Gray behavioral-brain systems with significance in level 0/01, except anger and spree, the highest percent of prediction belongs to emotional nature of control and the lowest percent of prediction belongs to anger so that 16% variances former as well as7% variance of later are predictable from Gray theory. The highest percent of prediction is for depression affect which 15% of changes as well as the lowest prediction was for spree which 8% of changes were predictable from Gray theory. Collectively, results from research on statistical population is indicator of rational patterns between theories of Gray behavioral-brain systems and AFECT combined nature emotional-affective model.
Keywords
characteristic
Gray behavioural brain systems theory
AFECT thrill emotional nature model
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