Structure and Dynamics of Emotional Experience in Depression.

Emotion;Depression;Mathematical Modeling;High Dimensional Dynamical Systems Modeling;Neurosciences;Mathematics;Statistics and Numeric Data;Psychology;Social Sciences (General);Health Sciences;Humanities;Science;Social Sciences;Psychology

Demiralp, EmreEllsworth, Phoebe C. ;

University of Michigan

关键词: Emotion;    Depression;    Mathematical Modeling;    High Dimensional Dynamical Systems Modeling;    Neurosciences;    Mathematics;    Statistics and Numeric Data;    Psychology;    Social Sciences (General);    Health Sciences;    Humanities;    Science;    Social Sciences;    Psychology;   

Others  :  https://deepblue.lib.umich.edu/bitstream/handle/2027.42/95987/emredemi_1.pdf?sequence=1&isAllowed=y

瑞士|英语

来源: The Illinois Digital Environment for Access to Learning and Scholarship

【 摘 要 】


Human emotional experience is extremely complex and dynamic. Multiple factors contribute to the ever changing subjective experience of emotion. Exteroceptive information from our senses, interoceptive information from muscles, internal organs and conceptual information about the past, the present and future get combined allowing a person to experience discrete states of happiness, sadness, anger, elation or a variety of other emotional states. While our verbal descriptions of our emotional experiences are invaluable, they rarely capture the elusive richness and role of emotion in daily life. First of all, no two moments of happiness, sadness or anger are the same. Second, emotional experience is not static. It fluctuates within the ebb and flow of daily life. In this dissertation, I introduce two new methods to characterize the rich structural complexity of emotion as well as its elusive temporal dynamics. I use these methods to identify seemingly contradictory results regarding the impact of Major Depressive Disorder on structural and dynamic properties of human emotional experience. Furthermore, in order to ensure ecological validity, I use mobile computerized experience sampling which allows people to provide information about multiple facets of their emotional experiences during daily life longitudinally across time with minimal interference. I conclude with a discussion of the implications of the findings for basic and clinical science as well as future directions.