The functional human neuroanatomy of food pleasure cycles

Kringelbach, Morten L.; Stein, Alan; Hartevelt, Tim J. van

doi:10.1016/j.physbeh.2012.03.023

Cited by 120 publications

(87 citation statements)

References 77 publications

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“…Importantly, the pleasure that many people experience with rhythms that do not conform entirely to the prescribed meter may be part of a predictive coding balance between meter and rhythm. Such notions fit nicely with theories of reward processing taking place during pleasure cycles mediated by the brain's constant search for a balance of dopamine levels [96,97]. However, a discussion of such links between prediction in music and reward are beyond the scope of the present chapter (cf.…”

Section: Perspectivessupporting

confidence: 61%

Neural Underpinnings of Music: The Polyrhythmic Brain

Vuust

Gebauer

Witek

2014

Advances in Experimental Medicine and Biology

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Musical rhythm, consisting of apparently abstract intervals of accented temporal events, has the remarkable ability to move our minds and bodies. Why do certain rhythms make us want to tap our feet, bop our heads or even get up and dance? And how does the brain process rhythmically complex rhythms during our experiences of music? In this chapter, we describe some common forms of rhythmic complexity in music and propose that the theory of predictive coding can explain how rhythm and rhythmic complexity are processed in the brain. We also consider how this theory may reveal why we feel so compelled by rhythmic tension in music. First, musical-theoretical and neuroscientific frameworks of rhythm are presented, in which rhythm perception is conceptualized as an interaction between what is heard ('rhythm') and the brain's anticipatory structuring of music ('the meter'). Second, three different examples of tension between rhythm and meter in music are described: syncopation, polyrhythm and groove. Third, we present the theory of predictive coding of music, which posits a hierarchical organization of brain responses reflecting fundamental, survival-related mechanisms associated with predicting future events. According to this theory, perception and learning is manifested through the brain's Bayesian minimization of the error between the input to the brain and the brain's prior expectations. Fourth, empirical studies of neural and behavioral effects of syncopation, polyrhythm and groove will be reported, and we propose how these studies can be seen as special cases of the predictive coding theory. Finally, we argue that musical rhythm exploits the brain's general principles of anticipation and propose that pleasure from musical rhythm may be a result of such anticipatory mechanisms.

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Section: Perspectivessupporting

confidence: 61%

Neural Underpinnings of Music: The Polyrhythmic Brain

Vuust

Gebauer

Witek

2014

Advances in Experimental Medicine and Biology

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“…The insula, consistent with its general role in interceptive awareness, underlies the interoceptive experience of taste. An important issue is how rostral vs. caudal the primary gustatory cortex is in the insula, with some articles suggesting a more rostral position in anterior insula (e.g., Kaye et al, 2009;Kringelbach, O'Doherty, Rolls, & Andrews, 2003;Kringelbach, Stein, & van Hartevelt, 2012), and others suggesting a more caudal position in mid-insula (e.g., Stice, Burger, & Yokum, 2013). In many experiments, taste activations further extend dorsally into the adjacent frontal operculum.…”

Section: The Neural Network That Underlies Normal Eatingmentioning

confidence: 99%

A core eating network and its modulations underlie diverse eating phenomena

Chen

Papies

Barsalou

2016

Brain and Cognition

130

105

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We propose that a core eating network and its modulations account for much of what is currently known about the neural activity underlying a wide range of eating phenomena in humans (excluding homeostasis and related phenomena). The core eating network is closely adapted from a network that Kaye, Fudge, and Paulus (2009) proposed to explain the neurocircuitry of eating, including a ventral reward pathway and a dorsal control pathway. In a review across multiple literatures that focuses on experiments using functional Magnetic Resonance Imaging (fMRI), we first show that neural responses to food cues, such as food pictures, utilize the same core eating network as eating. Consistent with the theoretical perspective of grounded cognition, food cues activate eating simulations that produce reward predictions about a perceived food and potentially motivate its consumption. Reviewing additional literatures, we then illustrate how various factors modulate the core eating network, increasing and/or decreasing activity in subsets of its neural areas. These modulating factors include food significance (palatability, hunger), body mass index (BMI, overweight/obesity), eating disorders (anorexia nervosa, bulimia nervosa, binge eating), and various eating goals (losing weight, hedonic pleasure, healthy living). By viewing all these phenomena as modulating a core eating network, it becomes possible to understand how they are related to one another within this common theoretical framework. Finally, we discuss future directions for better establishing the core eating network, its modulations, and their implications for behavior.

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“…This proposal, based on an animal model, has garnered great interest among researchers investigating motivational processes in humans (e.g., Finlayson et al, 2007b;Kringelbach et al, 2012;Mela, 2006;Nawijn et al, 2015). Several scholars have considered the independence of wanting and liking as a potential mechanism underlying a variety of human behaviors that negatively impact well-being such as overeating, pathological gambling and the consumption of addictive substances (Finlayson et al, 2007b;Pool et al, 2015c;Tibboel et al, 2011;Wölfling et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Measuring wanting and liking from animals to humans: A systematic review

Pool

Sennwald

Delplanque

et al. 2016

Neuroscience & Biobehavioral Reviews

194

147

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a b s t r a c tAnimal research has shown it is possible to want a reward that is not liked once obtained. Although these findings have elicited interest, human experiments have produced contradictory results, raising doubts about the existence of separate wanting and liking influences in human reward processing. This discrepancy could be due to inconsistences in the operationalization of these concepts. We systematically reviewed the methodologies used to assess human wanting and/or liking and found that most studies operationalized these concepts in congruency with the animal literature. Nonetheless, numerous studies operationalized wanting in similar ways to those that operationalized liking. These contradictions might be driven by a major source of confound: expected pleasantness. Expected pleasantness underlies cognitive desires and does not correspond to animal liking, a hedonic experience, or to animal wanting, which relies on affective relevance, consisting of the perception of a cue associated with a relevant reward for the organism's current physiological state. Extending the concept of affective relevance and differentiating it from expected pleasantness might improve measures of human wanting and liking.

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The functional human neuroanatomy of food pleasure cycles

Cited by 120 publications

References 77 publications

Neural Underpinnings of Music: The Polyrhythmic Brain

Neural Underpinnings of Music: The Polyrhythmic Brain

A core eating network and its modulations underlie diverse eating phenomena

Measuring wanting and liking from animals to humans: A systematic review

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