Literature DB >> 16269098

Automatic encoding of polyphonic melodies in musicians and nonmusicians.

Takako Fujioka1, Laurel J Trainor, Bernhard Ross, Ryusuke Kakigi, Christo Pantev.   

Abstract

In music, multiple musical objects often overlap in time. Western polyphonic music contains multiple simultaneous melodic lines (referred to as "voices") of equal importance. Previous electrophysiological studies have shown that pitch changes in a single melody are automatically encoded in memory traces, as indexed by mismatch negativity (MMN) and its magnetic counterpart (MMNm), and that this encoding process is enhanced by musical experience. In the present study, we examined whether two simultaneous melodies in polyphonic music are represented as separate entities in the auditory memory trace. Musicians and untrained controls were tested in both magnetoencephalogram and behavioral sessions. Polyphonic stimuli were created by combining two melodies (A and B), each consisting of the same five notes but in a different order. Melody A was in the high voice and Melody B in the low voice in one condition, and this was reversed in the other condition. On 50% of trials, a deviant final (5th) note was played either in the high or in the low voice, and it either went outside the key of the melody or remained within the key. These four deviations occurred with equal probability of 12.5% each. Clear MMNm was obtained for most changes in both groups, despite the 50% deviance level, with a larger amplitude in musicians than in controls. The response pattern was consistent across groups, with larger MMNm for deviants in the high voice than in the low voice, and larger MMNm for in-key than out-of-key changes, despite better behavioral performance for out-of-key changes. The results suggest that melodic information in each voice in polyphonic music is encoded in the sensory memory trace, that the higher voice is more salient than the lower, and that tonality may be processed primarily at cognitive stages subsequent to MMN generation.

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Year:  2005        PMID: 16269098     DOI: 10.1162/089892905774597263

Source DB:  PubMed          Journal:  J Cogn Neurosci        ISSN: 0898-929X            Impact factor:   3.225


  42 in total

Review 1.  Finding the beat: a neural perspective across humans and non-human primates.

Authors:  Hugo Merchant; Jessica Grahn; Laurel Trainor; Martin Rohrmeier; W Tecumseh Fitch
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2015-03-19       Impact factor: 6.237

2.  Music, clicks, and their imaginations favor differently the event-based timing component for rhythmic movements.

Authors:  Riccardo Bravi; Eros Quarta; Claudia Del Tongo; Nicola Carbonaro; Alessandro Tognetti; Diego Minciacchi
Journal:  Exp Brain Res       Date:  2015-04-03       Impact factor: 1.972

3.  Rhythm judgments reveal a frequency asymmetry in the perception and neural coding of sound synchrony.

Authors:  Magdalena Wojtczak; Anahita H Mehta; Andrew J Oxenham
Journal:  Proc Natl Acad Sci U S A       Date:  2017-01-17       Impact factor: 11.205

4.  Many listeners cannot discriminate major vs minor tone-scrambles regardless of presentation rate.

Authors:  Solena Mednicoff; Stephanie Mejia; Jordan Ali Rashid; Charles Chubb
Journal:  J Acoust Soc Am       Date:  2018-10       Impact factor: 1.840

5.  Effects of pitch and tempo of auditory rhythms on spontaneous movement entrainment and stabilisation.

Authors:  Manuel Varlet; Rohan Williams; Peter E Keller
Journal:  Psychol Res       Date:  2018-08-16

6.  Superior time perception for lower musical pitch explains why bass-ranged instruments lay down musical rhythms.

Authors:  Michael J Hove; Céline Marie; Ian C Bruce; Laurel J Trainor
Journal:  Proc Natl Acad Sci U S A       Date:  2014-06-30       Impact factor: 11.205

Review 7.  Music perception, pitch, and the auditory system.

Authors:  Josh H McDermott; Andrew J Oxenham
Journal:  Curr Opin Neurobiol       Date:  2008-10-02       Impact factor: 6.627

8.  Cognitive control in auditory working memory is enhanced in musicians.

Authors:  Karen Johanne Pallesen; Elvira Brattico; Christopher J Bailey; Antti Korvenoja; Juha Koivisto; Albert Gjedde; Synnöve Carlson
Journal:  PLoS One       Date:  2010-06-15       Impact factor: 3.240

9.  The plasticity of the superior longitudinal fasciculus as a function of musical expertise: a diffusion tensor imaging study.

Authors:  Mathias S Oechslin; Adrian Imfeld; Thomas Loenneker; Martin Meyer; Lutz Jäncke
Journal:  Front Hum Neurosci       Date:  2010-02-08       Impact factor: 3.169

10.  Looking for a pattern: an MEG study on the abstract mismatch negativity in musicians and nonmusicians.

Authors:  Sibylle C Herholz; Claudia Lappe; Christo Pantev
Journal:  BMC Neurosci       Date:  2009-04-30       Impact factor: 3.288

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