Title |
Crossmodal transfer of emotion by music
|
---|---|
Published in |
Neuroscience Letters, March 2009
|
DOI | 10.1016/j.neulet.2009.03.044 |
Pubmed ID | |
Authors |
Nidhya Logeswaran, Joydeep Bhattacharya |
Abstract |
Music is one of the most powerful elicitors of subjective emotion, yet it is not clear whether emotions elicited by music are similar to emotions elicited by visual stimuli. This leads to an open question: can music-elicited emotion be transferred to and/or influence subsequent vision-elicited emotional processing? Here we addressed this question by investigating processing of emotional faces (neutral, happy and sad) primed by short excerpts of musical stimuli (happy and sad). Our behavioural experiment showed a significant effect of musical priming: prior listening to a happy (sad) music enhanced the perceived happiness (sadness) of a face irrespective of facial emotion. Further, this musical priming-induced effect was largest for neutral face. Our electrophysiological experiment showed that such crossmodal priming effects were manifested by event related brain potential components at a very early (within 100 ms post-stimulus) stages of neuronal information processing. Altogether, these results offer new insight into the crossmodal nature of music and its ability to transfer emotion to visual modality. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Norway | 1 | 25% |
Australia | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 2% |
Germany | 4 | 1% |
Japan | 4 | 1% |
United States | 4 | 1% |
Portugal | 2 | <1% |
Italy | 1 | <1% |
Belgium | 1 | <1% |
Israel | 1 | <1% |
France | 1 | <1% |
Other | 1 | <1% |
Unknown | 263 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 61 | 21% |
Student > Master | 50 | 17% |
Researcher | 48 | 17% |
Student > Bachelor | 32 | 11% |
Professor | 20 | 7% |
Other | 50 | 17% |
Unknown | 27 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 131 | 45% |
Neuroscience | 22 | 8% |
Computer Science | 20 | 7% |
Arts and Humanities | 19 | 7% |
Agricultural and Biological Sciences | 16 | 6% |
Other | 45 | 16% |
Unknown | 35 | 12% |