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Why we love some songs more than others

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What is it that makes songs like Red, Red Wine or Bohemian Rhapsody so enjoyable? European scientists say the right combination of uncertainty and surprise are the key elements behind our favourite bangers. Stripping out melody and lyrics, the researchers analysed 80,000 chords in 745 classic U.S. Billboard pop songs released between 1958 and 1991 and found the greatest musical pleasure comes from songs that strike a good balance between knowing what is going to happen next and surprising us. They say their findings could aid musical composers and enhance musical algorithms.

Journal/conference: Current Biology

DOI: 10.1016/j.cub.2019.09.067

Organisation/s: Max Planck Institute for Human Cognitive and Brain Sciences, Germany

Funder: This work was supported by the Max Planck Society, the Croucher Foundation, and a doctoral studentship from the EPSRC and AHRC Centre for Doctoral Training in Media and Arts Technology.

Media Release

From: Cell Press

Peer-reviewed            Experimental Study            People

Enjoyment of pop music classics linked to combination of uncertainty and surprise

Why is it that people find songs such as James Taylor's "Country Roads," UB40's "Red, Red Wine," or The Beatles' "Ob-La-Di, Ob-La-Da" so irresistibly enjoyable? In a study reported in the journal Current Biology on November 7, researchers analyze 80,000 chords in 745 classic U.S. Billboard pop songs--including those three--and find that musical pleasure comes from the right combination of uncertainty and surprise.

"It is fascinating that humans can derive pleasure from a piece of music just by how sounds are ordered over time," says Vincent Cheung of the Max Planck Institute for Human Cognitive and Brain Sciences, Germany. "Songs that we find pleasant are likely those which strike a good balance between knowing what is going to happen next and surprising us with something we did not expect. Understanding how music activates our pleasure system in the brain could explain why listening to music might help us feel better when we are feeling blue."

Cheung and colleagues including Stefan Koelsch (@StefanKoelsch), University of Bergen, Norway, used a machine learning model to mathematically quantify the uncertainty and surprise of 80,000 chords in U.S. Billboard pop songs. To rule out other associations to the songs that listeners might have had, the researchers stripped them of other elements including lyrics and melody, keeping only the chord progressions.

The evidence showed that when individuals were relatively certain about what chord to expect next, they found it pleasant when they were instead surprised (i.e., when their expectations were violated). On the other hand, when individuals were uncertain about what to expect next, they found it pleasant when subsequent chords weren't surprising.

"Although composers know it intuitively, the process behind how expectancy in music elicits pleasure was still unknown," Koelsch says. "One important reason was because most studies in the past only looked at the effects of surprise on pleasure but not the uncertainty of the listeners' predictions."

Brain imaging studies using functional magnetic resonance imaging (fMRI) found that the experience of musical pleasure was reflected in three brain regions: the amygdala, the hippocampus, and the auditory cortex. Those brain regions play a role in processing emotions, learning and memory, and processing sound, respectively. In contrast, activity in the nucleus accumbens--a brain area that processes reward expectations and had previously been believed to play a role in musical pleasure--only reflected uncertainty.

"In summary," the researchers write, "we show...that musical pleasure depends on the dynamic interplay between prospective and retrospective states of expectation. Our fundamental ability to predict is therefore an important mechanism through which abstract sound sequences acquire affective meaning and transform into a universal cultural phenomenon that we call 'music.'"

Based on the new findings, the researchers say that future brain research could consider the combined roles of uncertainty and surprise on humans' appreciation for other art forms such as dance and film. The findings might also be put to work for enhancing artificial music generation algorithms, aiding composers in writing music, or even predicting musical trends.

Their next step is to look at how information flows across different parts of the brain over time. They want to know why and how it is that people listening to music sometimes get goose bumps. Cheung says: "We think there is great potential in combining computational modeling and brain imaging to further understand not only why we enjoy music, but also what it means to be human."

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