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Who am I? : The Neurobiology of the Big Five

Personality is something that sets every human being apart, yet it is something that has been quite hard to pinpoint. Recently, neuroscientists have begun pinning down the neural correlates of personality traits – with focus on the Big Five, sparking a whole new subfield within personality research, known as personality neuroscience. By using neuroscientific methods and techniques to find the underpinnings of the Big Five have led to a deeper and broader understanding of how genetics and the environment integrate into making individuals who they are. This research has also been helpful in the prediction of various outcomes e.g. academic performance and achievement and neuropsychological disorders. In this thesis, the supposed neural correlates of the Big Five are examined through thorough and critical investigations, where evidence from some of the existing relevant studies is reviewed and compared, as well as the different problems and complexities that the field of personality neuroscience is dealing with. The findings in this thesis shows that extraversion has neurobiological basis in the frontal areas of the brain, neuroticism with reduced volume in the frontal areas, agreeableness with frontoparietal areas that are related to theory of mind as well as temporal regions, conscientiousness with frontal parts that are associated with planning and goal-orientation, and openness/intellect with frontoparietal areas as well as subcortical regions, which have been linked with intelligence and creativity. However, some of the correlations were inconsistent and scattered and further research needs to be done. The analysis of academic achievement and performance, as well as neuropsychological disorders and the Big Five with neuroimaging as a method, have shown to be limited, thus much more research is needed.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:his-17262
Date January 2019
CreatorsHuynh, Yen Nhi
PublisherHögskolan i Skövde, Institutionen för biovetenskap
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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