Department of Brain & Cognitive SCIENCES
Faculty

Research Highlights

2022 A robust multivariate structure of interindividual covariation between psychosocial characteristics and arousal responses to visual narratives

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작성자 최고관리자 작성일 24-07-03 16:52

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Professor
Sang-Hun Lee
Authors
Jinyoung Kim, Eunseong Bae, Yeonhwa Kim, Chae Young Lim, Ji-Won Hur, Jun Soo Kwon, Sang-Hun Lee
Journal
PLOS ONE
Journal Info
17(2)
Year
2022

People experience the same event but feel differently, and individual differences in emotional responses are believed to be greater than in other mental functions. Understanding these differences is crucial for understanding individuality. Many studies have tried to link emotions to psychological traits like personality, psychosocial states, and pathological symptoms, but comprehensive structures governing the relationship between emotional responses and psychological characteristics remain underexplored. This gap limits our understanding of how individual emotional differences relate to psychological profiles. To address this, we collected high-dimensional data from 86 undergraduate and graduate students, covering both emotional responses (8 measures) and psychological characteristics (68 measures). We used canonical correlation analysis and principal component analysis to analyze these data sets. Emotional responses were quantified by comparing individual affective ratings to visual stimuli against average responses. Psychological characteristics were derived from 19 psychometric questionnaires on personality, psychosocial factors, and clinical issues. Our analysis revealed a single robust mode of covariation, particularly linking 'accuracy' and 'sensitivity' measures of arousal in emotional responses with various 'psychosocial' measures in psychological characteristics. 

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