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  5. The emotional power of poetry: neural circuitry, psychophysiology and compositional principles
 
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The emotional power of poetry: neural circuitry, psychophysiology and compositional principles

Publication date
2017-04-28
Document type
Research article
Author
Wassiliwizky, Eugen
Koelsch, Stefan
Wagner, Valentin
Jacobsen, Thomas 
Menninghaus, Winfried
Organisational unit
Allgemeine und Biologische Psychologie 
DOI
10.1093/scan/nsx069
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/4148
ISSN
1749-5024
1749-5016
Series or journal
Social cognitive and affective neuroscience
Periodical volume
12
Periodical issue
8
First page
1229
Last page
1240
Peer-reviewed
✅
Part of the university bibliography
✅
  • Additional Information
Abstract
It is a common experience-and well established experimentally-that music can engage us emotionally in a compelling manner. The mechanisms underlying these experiences are receiving increasing scrutiny. However, the extent to which other domains of aesthetic experience can similarly elicit strong emotions is unknown. Using psychophysiology, neuroimaging and behavioral responses, we show that recited poetry can act as a powerful stimulus for eliciting peak emotional responses, including chills and objectively measurable goosebumps that engage the primary reward circuitry. Importantly, while these responses to poetry are largely analogous to those found for music, their neural underpinnings show important differences, specifically with regard to the crucial role of the nucleus accumbens. We also go beyond replicating previous music-related studies by showing that peak aesthetic pleasure can co-occur with physiological markers of negative affect. Finally, the distribution of chills across the trajectory of poems provides insight into compositional principles of poetry.
Cite as
Eugen Wassiliwizky, Stefan Koelsch, Valentin Wagner, Thomas Jacobsen, Winfried Menninghaus, The emotional power of poetry: neural circuitry, psychophysiology and compositional principles, Social Cognitive and Affective Neuroscience, Volume 12, Issue 8, August 2017, Pages 1229–1240, https://doi.org/10.1093/scan/nsx069
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Published version
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