Commentary: Predictions and the brain: how musical sounds become rewarding

Dietz, Martin; Vuust, Peter

doi:10.3389/fnhum.2017.00168

Cited by 54 publications

(24 citation statements)

References 19 publications

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“…This modulation was paralleled by accuracy scores-and, to some extent, confidence ratingsin a behavioral deviance detection task, which tended to decrease with higher entropy levels. These findings are in agreement with theories of predictive processing (Clark, 2013;Feldman & Friston, 2010;Hohwy, 2012) and models of musical expectations (Hansen et al, 2017;Ross & Hansen, 2016;Vuust et al, 2018) which propose that prediction error responses are reduced in contexts with low as compared to high predictive precision.…”

Section: Discussionsupporting

confidence: 90%

“…Carrus, Pearce, & Bhattacharya, 2013;Koelsch, Gunter, Friederici, & Schröger, 2000;Vuust et al, 2005). Interestingly, precision has been suggested to modulate musical prediction error and play an important role in the perceptual, aesthetic and emotional dimensions of musical experience (Hansen, Dietz, & Vuust, 2017;Ross & Hansen, 2016;Vuust, Witek, Dietz, & Kringelbach, 2018). Bringing empirical support to these claims, two behavioral studies have shown that listeners estimate the precision of musical expectations and that low-probability tones are judged as more unexpected in contexts with low as compared to high uncertainty (Hansen & Pearce, 2014;Hansen, Vuust, & Pearce, 2016).…”

Section: Introductionmentioning

confidence: 98%

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Reduced prediction error responses in high-as compared to low-uncertainty musical contexts

Quiroga-Martinez

Hansen

Højlund

et al. 2019

Cortex

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• The mismatch negativity (MMNm) is reduced in musical contexts with high pitch uncertainty • The MMNm reduction is restricted to pitch-related features • Accuracy during deviance detection is reduced in contexts with higher uncertainty • The results suggest a feature-selective precision modulation of prediction error Materials, data and scripts can be found in the Open Science Framework repository: http://bit.ly/music_entropy_MMN

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Section: Discussionsupporting

confidence: 90%

Section: Introductionmentioning

confidence: 98%

Reduced prediction error responses in high-as compared to low-uncertainty musical contexts

Quiroga-Martinez

Hansen

Højlund

et al. 2019

Cortex

Self Cite

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“…Converging evidence suggests that the predictions of what musical event will happen when are key aspects for the experience of pleasure and the rewarding effects in music [43][44][45][46] , cf. 47 . Similar effects might occur for predictions of other persons' behaviours.…”

Section: Discussionmentioning

confidence: 99%

Cultural Familiarity and Individual Musical Taste Differently Affect Social Bonding when Moving to Music

Stupacher

Witek

Vuoskoski

et al. 2020

Sci Rep

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Social bonds are essential for our health and well-being. Music provides a unique and implicit context for social bonding by introducing temporal and affective frameworks, which facilitate movement synchronization and increase affiliation. How these frameworks are modulated by cultural familiarity and individual musical preferences remain open questions. In three experiments, we operationalized the affective aspects of social interactions as ratings of interpersonal closeness between two walking stick-figures in a video. These figures represented a virtual self and a virtual other person. The temporal aspects of social interactions were manipulated by movement synchrony: while the virtual self always moved in time with the beat of instrumental music, the virtual other moved either synchronously or asynchronously. When the context-providing music was more enjoyed, social closeness increased strongly with a synchronized virtual other, but only weakly with an asynchronized virtual other. When the music was more familiar, social closeness was higher independent of movement synchrony. We conclude that the social context provided by music can strengthen interpersonal closeness by increasing temporal and affective self-other overlaps. Individual musical preferences might be more relevant for the influence of movement synchrony on social bonding than musical familiarity. Social bonds have long been associated with enhanced mental and physical health and well-being 1. How well we connect with another person depends, among others, on our cultural background, individual preferences, and the context of a given situation. Music provides a unique social context by introducing temporal and affective frameworks, which increase behavioural synchrony and emotional harmony. Individuals collectively synchronize their movements with rhythmical features of the music on a temporal scale down to milliseconds. This type of temporal framework provides a shared understanding of a group's behaviour by increasing the predictability of others' movements, for example in dance. In addition, by listening to the same music, people share common contextual information and establish joint attention, ultimately building up a collective affective experience driven by cooperation and affiliation. Following Phillips-Silver and Keller 2 , we refer to the synchronization of movements as temporal social entrainment and to the sharing of emotional experiences as affective social entrainment. Temporal social entrainment is observable in the tendency to synchronize movements and behaviour in everyday interactions such as walking 3,4 , chair rocking 5 , and joke telling 6. These and other expressions of interpersonal movement synchronization have been shown to promote affective social entrainment in form of affiliation, cooperation, and altruistic behaviour 7-11. The prosocial effects of temporal entrainment seem to be particularly strong when moving together with music 12-15 , suggesting that music adds a powerful social context to interpersonal interactions....

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“…Indeed, researchers examining highly intense pleasure states elicited by music, characterized by elevated neural activity in nucleus accumbens (NAcc) and orbitofrontal cortex (OFC; Salimpoor, Benovoy, Larcher, Dagher, & Zatorre, 2011; Salimpoor et al, 2013) and markedly increased autonomic states (Grewe, Kopiez, & Altenmüller, 2009; Grewe, Nagel, Kopiez, & Altenmüller, 2007; Salimpoor, Benovoy, Longo, Cooperstock, & Zatorre, 2009), found comparable patterns of activity when states of intense pleasure are triggered by visual, gustatory, and tactile nonartistic stimuli (Grewe, Katzur, Kopiez, & Altenmüller, 2010). Likewise, there is robust evidence that works of art elicit reward predictions (Gold, Mas-Herrero, Zeighami, Benovoy, & Dagher Al Zatorre,2019; Hansen, Dietz, & Vuust, 2017; Salimpoor et al, 2013; Steinbeis, Koelsch, & Sloboda, 2006), lead to prediction errors when expectations are not met (Kobayashi & Schultz, 2014; Salimpoor, Zald, Zatorre, Dagher, & McIntosh, 2015), modulate saliency of perceptual objects, influence decision making and behavior (K. Kim, Ko, & Lee, 2012), and in many other ways engage processes associated with implementing the motivational impact of hedonic valuation (Vartanian et al, 2013).…”

Section: The Problem With Artmentioning

confidence: 99%

A Farewell to Art: Aesthetics as a Topic in Psychology and Neuroscience

Skov

Nadal

2020

Perspect Psychol Sci

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Empirical aesthetics and neuroaesthetics study two main issues: the valuation of sensory objects and art experience. These two issues are often treated as if they were intrinsically interrelated: Research on art experience focuses on how art elicits aesthetic pleasure, and research on valuation focuses on special categories of objects or emotional processes that determine the aesthetic experience. This entanglement hampers progress in empirical aesthetics and neuroaesthetics and limits their relevance to other domains of psychology and neuroscience. Substantial progress in these fields is possible only if research on aesthetics is disentangled from research on art. We define aesthetics as the study of how and why sensory stimuli acquire hedonic value. Under this definition, aesthetics becomes a fundamental topic for psychology and neuroscience because it links hedonics (the study of what hedonic valuation is in itself) and neuroeconomics (the study of how hedonic values are integrated into decision making and behavioral control). We also propose that this definition of aesthetics leads to concrete empirical questions, such as how perceptual information comes to engage value signals in the reward circuit or why different psychological and neurobiological factors elicit different appreciation events for identical sensory objects.

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Commentary: Predictions and the brain: how musical sounds become rewarding

Cited by 54 publications

References 19 publications

Reduced prediction error responses in high-as compared to low-uncertainty musical contexts

Reduced prediction error responses in high-as compared to low-uncertainty musical contexts

Cultural Familiarity and Individual Musical Taste Differently Affect Social Bonding when Moving to Music

A Farewell to Art: Aesthetics as a Topic in Psychology and Neuroscience

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