Literature DB >> 22414591

Tracking of pitch probabilities in congenital amusia.

Diana Omigie1, Marcus T Pearce, Lauren Stewart.   

Abstract

Auditory perception involves not only hearing a series of sounds but also making predictions about future ones. For typical listeners, these predictions are formed on the basis of long-term schematic knowledge, gained over a lifetime of exposure to the auditory environment. Individuals with a developmental disorder known as congenital amusia show marked difficulties with music perception and production. The current study investigated whether these difficulties can be explained, either by a failure to internalise the statistical regularities present in music, or by a failure to consciously access this information. Two versions of a melodic priming paradigm were used to probe participants' abilities to form melodic pitch expectations, in an implicit and an explicit manner. In the implicit version (Experiment 1), participants made speeded, forced-choice discriminations concerning the timbre of a cued target note. In the explicit version (Experiment 2), participants used a 1-7 rating scale to indicate the degree to which the pitch of the cued target note was expected or unexpected. Target notes were chosen to have high or low probability in the context of the melody, based on the predictions of a computational model of melodic expectation. Analysis of the data from the implicit task revealed a melodic priming effect in both amusic and control participants whereby both groups showed faster responses to high probability than low probability notes rendered in the same timbre as the context. However, analysis of the data from the explicit task revealed that amusic participants were significantly worse than controls at using explicit ratings to differentiate between high and low probability events in a melodic context. Taken together, findings from the current study make an important contribution in demonstrating that amusic individuals track melodic pitch probabilities at an implicit level despite an impairment, relative to controls, when required to make explicit judgments in this regard. However the unexpected finding that amusics nevertheless are able to use explicit ratings to distinguish between high and low probability notes (albeit not as well as controls) makes a similarly important contribution in revealing a sensitivity to musical structure that has not previously been demonstrated in these individuals.
Copyright © 2012 Elsevier Ltd. All rights reserved.

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Year:  2012        PMID: 22414591     DOI: 10.1016/j.neuropsychologia.2012.02.034

Source DB:  PubMed          Journal:  Neuropsychologia        ISSN: 0028-3932            Impact factor:   3.139


  12 in total

1.  Cross-Frequency Brain Network Dynamics Support Pitch Change Detection.

Authors:  Soheila Samiee; Dominique Vuvan; Esther Florin; Philippe Albouy; Isabelle Peretz; Sylvain Baillet
Journal:  J Neurosci       Date:  2022-03-29       Impact factor: 6.167

2.  The Music of Silence: Part I: Responses to Musical Imagery Encode Melodic Expectations and Acoustics.

Authors:  Guilhem Marion; Giovanni M Di Liberto; Shihab A Shamma
Journal:  J Neurosci       Date:  2021-08-02       Impact factor: 6.167

3.  Probabilistic models of expectation violation predict psychophysiological emotional responses to live concert music.

Authors:  Hauke Egermann; Marcus T Pearce; Geraint A Wiggins; Stephen McAdams
Journal:  Cogn Affect Behav Neurosci       Date:  2013-09       Impact factor: 3.526

4.  Music and literature: are there shared empathy and predictive mechanisms underlying their affective impact?

Authors:  Diana Omigie
Journal:  Front Psychol       Date:  2015-08-24

5.  Brainstem encoding of speech and musical stimuli in congenital amusia: evidence from Cantonese speakers.

Authors:  Fang Liu; Akshay R Maggu; Joseph C Y Lau; Patrick C M Wong
Journal:  Front Hum Neurosci       Date:  2015-01-06       Impact factor: 3.169

6.  Predictive uncertainty in auditory sequence processing.

Authors:  Niels Chr Hansen; Marcus T Pearce
Journal:  Front Psychol       Date:  2014-09-23

7.  Revising the diagnosis of congenital amusia with the Montreal Battery of Evaluation of Amusia.

Authors:  Jasmin Pfeifer; Silke Hamann
Journal:  Front Hum Neurosci       Date:  2015-04-01       Impact factor: 3.169

8.  A Probabilistic Model of Meter Perception: Simulating Enculturation.

Authors:  Bastiaan van der Weij; Marcus T Pearce; Henkjan Honing
Journal:  Front Psychol       Date:  2017-05-22

9.  Sensitivity to musical emotion is influenced by tonal structure in congenital amusia.

Authors:  Cunmei Jiang; Fang Liu; Patrick C M Wong
Journal:  Sci Rep       Date:  2017-08-08       Impact factor: 4.379

10.  Time-course variation of statistics embedded in music: Corpus study on implicit learning and knowledge.

Authors:  Tatsuya Daikoku
Journal:  PLoS One       Date:  2018-05-09       Impact factor: 3.240

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