Literature DB >> 25358719

Neural underpinnings of music: the polyrhythmic brain.

Peter Vuust1, Line K Gebauer, Maria A G Witek.   

Abstract

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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Year:  2014        PMID: 25358719     DOI: 10.1007/978-1-4939-1782-2_18

Source DB:  PubMed          Journal:  Adv Exp Med Biol        ISSN: 0065-2598            Impact factor:   2.622


  8 in total

1.  Music Streaming Services as Adjunct Therapies for Depression, Anxiety, and Bipolar Symptoms: Convergence of Digital Technologies, Mobile Apps, Emotions, and Global Mental Health.

Authors:  Karl Schriewer; Grzegorz Bulaj
Journal:  Front Public Health       Date:  2016-09-30

2.  Entraining IDyOT: Timing in the Information Dynamics of Thinking.

Authors:  Jamie Forth; Kat Agres; Matthew Purver; Geraint A Wiggins
Journal:  Front Psychol       Date:  2016-10-18

3.  Global Sensory Qualities and Aesthetic Experience in Music.

Authors:  Pauli Brattico; Elvira Brattico; Peter Vuust
Journal:  Front Neurosci       Date:  2017-04-05       Impact factor: 4.677

4.  Music models aberrant rule decoding and reward valuation in dementia.

Authors:  Camilla N Clark; Hannah L Golden; Oliver McCallion; Jennifer M Nicholas; Miriam H Cohen; Catherine F Slattery; Ross W Paterson; Phillip D Fletcher; Catherine J Mummery; Jonathan D Rohrer; Sebastian J Crutch; Jason D Warren
Journal:  Soc Cogn Affect Neurosci       Date:  2018-02-01       Impact factor: 3.436

5.  The sweet spot between predictability and surprise: musical groove in brain, body, and social interactions.

Authors:  Jan Stupacher; Tomas Edward Matthews; Victor Pando-Naude; Olivia Foster Vander Elst; Peter Vuust
Journal:  Front Psychol       Date:  2022-08-09

6.  Beta-Band Oscillations Represent Auditory Beat and Its Metrical Hierarchy in Perception and Imagery.

Authors:  Takako Fujioka; Bernhard Ross; Laurel J Trainor
Journal:  J Neurosci       Date:  2015-11-11       Impact factor: 6.167

7.  Unimodal and cross-modal prediction is enhanced in musicians.

Authors:  Eliana Vassena; Katty Kochman; Julie Latomme; Tom Verguts
Journal:  Sci Rep       Date:  2016-05-04       Impact factor: 4.379

8.  Perceptual learning of tone patterns changes the effective connectivity between Heschl's gyrus and planum temporale.

Authors:  Massimo Lumaca; Martin J Dietz; Niels Chr Hansen; David R Quiroga-Martinez; Peter Vuust
Journal:  Hum Brain Mapp       Date:  2020-11-04       Impact factor: 5.399

  8 in total

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