Personality Predicts Individual Variation in Fear Learning: A Multilevel Growth Modeling Approach

被引:22
|
作者
Gazendam, Femke J. [1 ,2 ]
Kamphuis, Jan H. [1 ]
Eigenhuis, Annemarie [1 ]
Huizenga, Hilde M. H. [2 ,3 ]
Soeter, Marieke [1 ,2 ]
Bos, Marieke G. N. [1 ,2 ]
Sevenster, Dieuwke [1 ,2 ]
Kindt, Merel [1 ,2 ]
机构
[1] Univ Amsterdam, Dept Clin Psychol, Weesperplein 4, NL-1018 XA Amsterdam, Netherlands
[2] Univ Amsterdam, Cognit Sci Ctr Amsterdam, Amsterdam, Netherlands
[3] Univ Amsterdam, Dept Dev Psychol, Amsterdam, Netherlands
关键词
fear conditioning; extinction; individual differences; personality; multilevel growth curve modeling; startle response; Multidimensional Personality Questionnaire;
D O I
10.1177/2167702614535914
中图分类号
B849 [应用心理学];
学科分类号
040203 ;
摘要
Although fear-learning research has tended to focus on typical responses, there is substantial individual variation in response to threat. Here, we investigated how personality is related to variability in associative fear learning. We used multilevel growth curve modeling to examine the unique and interactive effects of Stress Reaction (SR) and Harmavoidance (HA; Multidimensional Personality Questionnaire scales) and their corresponding higher-order factors on differential fear conditioning (n = 225) and extinction (n = 109; 24-48 hr later). Fear was indexed by fear potentiation of the eyeblink startle reflex. Our findings demonstrated weaker discrimination between threat and safety with high levels of SR. Subsequently, both retention of differential fear acquisition and extinction were weaker with high levels of SR and HA, thereby indicating maladaptive fear learning, whereas they were stronger with low levels of SR and high levels of HA, which suggests efficient fear learning. These findings illustrate how specific personality traits may operate to confer vulnerability or resilience for anxiety disorders.
引用
收藏
页码:175 / 188
页数:14
相关论文
共 8 条
  • [1] Acoustic startle response in rats predicts inter-individual variation in fear extinction
    Russo, Amanda S.
    Parsons, Ryan G.
    NEUROBIOLOGY OF LEARNING AND MEMORY, 2017, 139 : 157 - 164
  • [2] Modeling Personality and Individual Differences: The Approach-Avoid-Conflict Triad
    Fua, Karl
    Revelle, William
    Ortony, Andrew
    COGNITION IN FLUX, 2010, : 25 - 30
  • [3] Automatic modeling learner's personality using learning analytics approach in an intelligent Moodle learning platform
    Tlili, Ahmed
    Denden, Mouna
    Essalmi, Fathi
    Jemni, Mohamed
    Chang, Maiga
    Kinshuk
    Chen, Nian-Shing
    INTERACTIVE LEARNING ENVIRONMENTS, 2023, 31 (05) : 2529 - 2543
  • [4] Age differences within secular IQ trends: An individual growth modeling approach
    Kanaya, T
    Ceci, SJ
    Scullin, MH
    INTELLIGENCE, 2005, 33 (06) : 613 - 621
  • [5] A Bayesian approach to model individual differences and to partition individuals: case studies in growth and learning curves
    Maura Mezzetti
    Daniele Borzelli
    Andrea d’Avella
    Statistical Methods & Applications, 2022, 31 : 1245 - 1271
  • [6] A Bayesian approach to model individual differences and to partition individuals: case studies in growth and learning curves
    Mezzetti, Maura
    Borzelli, Daniele
    d'Avella, Andrea
    STATISTICAL METHODS AND APPLICATIONS, 2022, 31 (05) : 1245 - 1271
  • [7] Do Individual Differences Predict Change in Cognitive Training Performance? A Latent Growth Curve Modeling Approach
    Guye S.
    De Simoni C.
    von Bastian C.C.
    Journal of Cognitive Enhancement, 2017, 1 (4) : 374 - 393
  • [8] Dynamics of Language Learning Motivation and Emotions: A Parallel-Process Growth Mixture Modeling Approach
    Yu, Hanjing
    Peng, Hongying
    Lowie, Wander M.
    FRONTIERS IN PSYCHOLOGY, 2022, 13