Social threat learning transfers to decision making in humans

被引:33
作者
Lindstrom, Bjorn [1 ,2 ,3 ]
Golkar, Armita [3 ,4 ]
Jangard, Simon [3 ]
Tobler, Philippe N. [2 ]
Olsson, Andreas [3 ]
机构
[1] Univ Amsterdam, Dept Social Psychol, NL-1018 WT Amsterdam, Netherlands
[2] Univ Zurich, Dept Econ, Lab Social & Neural Syst Res, CH-8001 Zurich, Switzerland
[3] Karolinska Inst, Dept Clin Neurosci, Sect Psychol, S-17177 Stockholm, Sweden
[4] Univ Amsterdam, Dept Clin Psychol, NL-1018 WT Amsterdam, Netherlands
基金
瑞典研究理事会; 欧洲研究理事会; 瑞士国家科学基金会;
关键词
social learning; decision making; Pavlovian instrumental transfer; fear; reinforcement learning; FEAR-RELEVANT; STIMULI; BEHAVIOR; ENHANCE; SYSTEMS; MODELS;
D O I
10.1073/pnas.1810180116
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
In today's world, mass-media and online social networks present us with unprecedented exposure to second-hand, vicarious experiences and thereby the chance of forming associations between previously innocuous events (e.g., being in a subway station) and aversive outcomes (e.g., footage or verbal reports from a violent terrorist attack) without direct experience. Such social threat, or fear, learning can have dramatic consequences, as manifested in acute stress symptoms and maladaptive fears. However, most research has so far focused on socially acquired threat responses that are expressed as increased arousal rather than active behavior. In three experiments (n = 120), we examined the effect of indirect experiences on behaviors by establishing a link between social threat learning and instrumental decision making. We contrasted learning from direct experience (i.e., Pavlovian conditioning) (experiment 1) against two common forms of social threat learning-social observation (experiment 2) and verbal instruction (experiment 3)-and how this learning transferred to subsequent instrumental decision making using behavioral experiments and computational modeling. We found that both types of social threat learning transfer to decision making in a strong and surprisingly inflexible manner. Notably, computational modeling indicated that the transfer of observational and instructed threat learning involved different computational mechanisms. Our results demonstrate the strong influence of others' expressions of fear on one's own decisions and have important implications for understanding both healthy and pathological human behaviors resulting from the indirect exposure to threatening events.
引用
收藏
页码:4732 / 4737
页数:6
相关论文
共 50 条
  • [41] A plausible neural circuit for decision making and its formation based on reinforcement learning
    Wei, Hui
    Dai, Dawei
    Bu, Yijie
    COGNITIVE NEURODYNAMICS, 2017, 11 (03) : 259 - 281
  • [42] Decision-making in social contexts in youth with ADHD
    Ma, Ili
    Lambregts-Rommelse, Nanda N. J.
    Buitelaar, Jan K.
    Cillessen, Antonius H. N.
    Scheres, Anouk P. J.
    EUROPEAN CHILD & ADOLESCENT PSYCHIATRY, 2017, 26 (03) : 335 - 344
  • [43] Uncertainty Modulates the Effect of Transcranial Stimulation Over the Right Dorsolateral Prefrontal Cortex on Decision-Making Under Threat
    Pan, Jingjing
    Zhu, Chengkang
    Li, Jianbiao
    FRONTIERS IN NEUROSCIENCE, 2019, 13
  • [44] Learning and Dynamic Decision Making
    Gonzalez, Cleotilde
    TOPICS IN COGNITIVE SCIENCE, 2022, 14 (01) : 14 - 30
  • [45] Learning, Reward, and Decision Making
    O'Doherty, John P.
    Cockburn, Jeffrey
    Pauli, Wolfgang M.
    ANNUAL REVIEW OF PSYCHOLOGY, VOL 68, 2017, 68 : 73 - 100
  • [46] Genetic contributions of the serotonin transporter to social learning of fear and economic decision making
    Crisan, Liviu G.
    Pana, Simona
    Vulturar, Romana
    Heilman, Renata M.
    Szekely, Raluca
    Druga, Bogdan
    Dragos, Nicolae
    Miu, Andrei C.
    SOCIAL COGNITIVE AND AFFECTIVE NEUROSCIENCE, 2009, 4 (04) : 399 - 408
  • [48] The interplay of social group biases in social threat learning
    Golkar, Armita
    Olsson, Andreas
    SCIENTIFIC REPORTS, 2017, 7
  • [49] Expectancies in decision making, reinforcement learning, and ventral striatum
    van der Meer, Matthijs A. A.
    Redish, A. David
    FRONTIERS IN NEUROSCIENCE, 2010, 4
  • [50] Strategically managing learning during perceptual decision making
    Masis, Javier
    Chapman, Travis
    Rhee, Juliana Y.
    Cox, David D.
    Saxe, Andrew M.
    ELIFE, 2023, 12