Music and literature: are there shared empathy and predictive mechanisms underlying their affective impact?

被引:9
|
作者
Omigie, Diana [1 ]
机构
[1] Max Planck Inst Empir Aesthet, Mus Dept, D-60322 Frankfurt, Germany
来源
FRONTIERS IN PSYCHOLOGY | 2015年 / 6卷
关键词
music; literature; emotions; esthetic; empathy; theory of mind; tension; active inference; HARRY POTTER; EMOTIONAL RESPONSES; SOCIAL COGNITION; NEURAL BASIS; BRAIN; LANGUAGE; FICTION; TENSION; EXPECTANCY; HYPOTHESIS;
D O I
10.3389/fpsyg.2015.01250
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
It has been suggested that music and language had a shared evolutionary precursor before becoming mainly responsible for the communication of emotive and referential meaning respectively. However, emphasis on potential differences between music and language may discourage a consideration of the commonalities that music and literature share. Indeed, one possibility is that common mechanisms underlie their affective impact, and the current paper carefully reviews relevant neuroscientific findings to examine such a prospect. First and foremost, it will be demonstrated that considerable evidence of a common role of empathy and predictive processes now exists for the two domains. However, it will also be noted that an important open question remains: namely, whether the mechanisms underlying the subjective experience of uncertainty differ between the two domains with respect to recruitment of phylogenetically ancient emotion areas. It will be concluded that a comparative approach may not only help to reveal general mechanisms underlying our responses to music and literature, but may also help us better understand any idiosyncrasies in their capacity for affective impact.
引用
收藏
页数:6
相关论文
共 42 条
  • [1] A neurobehavioral evolutionary perspective on the mechanisms underlying empathy
    Decety, Jean
    Norman, Greg J.
    Berntson, Gary G.
    Cacioppo, John T.
    PROGRESS IN NEUROBIOLOGY, 2012, 98 (01) : 38 - 48
  • [2] Shared neural mechanisms for processing emotions in music and vocalizations
    Proverbio, Alice Mado
    De Benedetto, Francesco
    Guazzone, Martina
    EUROPEAN JOURNAL OF NEUROSCIENCE, 2020, 51 (09) : 1987 - 2007
  • [3] Shared Characteristics of Intrinsic Connectivity Networks Underlying Interoceptive Awareness and Empathy
    Stoica, Teodora
    Depue, Brendan
    FRONTIERS IN HUMAN NEUROSCIENCE, 2020, 14
  • [4] Neural mechanisms underlying empathy during alcohol abstinence: evidence from connectome-based predictive modeling
    Yao, Guanzhong
    Wei, Luqing
    Jiang, Ting
    Dong, Hui
    Baeken, Chris
    Wu, Guo-Rong
    BRAIN IMAGING AND BEHAVIOR, 2022, 16 (06) : 2477 - 2486
  • [5] The development of aesthetic responses to music and their underlying neural and psychological mechanisms
    Nieminen, S.
    Istok, E.
    Brattico, E.
    Tervaniemi, M.
    Huotilainen, M.
    CORTEX, 2011, 47 (09) : 1138 - 1146
  • [6] Brains in sync, friends in empathy: interbrain neural mechanisms underlying the impact of interpersonal closeness on mutual empathy
    Lin, Chennan
    Lin, Xinxin
    Lian, Weicheng
    Zhang, Wenting
    Peng, Weiwei
    PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2024, 291 (2032)
  • [7] Beyond Personal Empathy: Perceiving Inclusive Empathy as Socially Shared Predicts Support for Transitional Justice Mechanisms
    Penic, Sandra
    Dukes, Daniel
    Elcheroth, Guy
    Jayakody, Sumedha
    Sander, David
    AFFECTIVE SCIENCE, 2021, 2 (04) : 402 - 413
  • [8] Emotional responses to music: The need to consider underlying mechanisms
    Juslin, Patrik N.
    Vastfjall, Daniel
    BEHAVIORAL AND BRAIN SCIENCES, 2008, 31 (05) : 559 - +
  • [9] Shared Neural Mechanisms Underlying Social Warmth and Physical Warmth
    Inagaki, Tristen K.
    Eisenberger, Naomi I.
    PSYCHOLOGICAL SCIENCE, 2013, 24 (11) : 2272 - 2280
  • [10] Neural mechanisms underlying empathy during alcohol abstinence: evidence from connectome-based predictive modeling
    Guanzhong Yao
    Luqing Wei
    Ting Jiang
    Hui Dong
    Chris Baeken
    Guo-Rong Wu
    Brain Imaging and Behavior, 2022, 16 : 2477 - 2486