Literature DB >> 16963000

Musical scale properties are automatically processed in the human auditory cortex.

Elvira Brattico1, Mari Tervaniemi, Risto Näätänen, Isabelle Peretz.   

Abstract

While listening to music, we immediately detect 'wrong' tones that do not match our expectations based on the prior context. This study aimed to determine whether such expectations can occur preattentively, as indexed by event-related potentials (ERPs), and whether these are modulated by attentional processes. To this end, we recorded ERPs in nonmusicians while they were presented with unfamiliar melodies, containing either a pitch deviating from the equal-tempered chromatic scale (out-of-tune) or a pitch deviating from the diatonic scale (out-of-key). ERPs were recorded in a passive experiment in which subjects were distracted from the sounds and in an active experiment in which they were judging how incongruous each melody was. In both the experiments, pitch incongruities elicited an early frontal negativity that was not modulated by attentional focus. This early negativity, closely corresponding to the mismatch negativity (MMN) of the ERPs, was mainly originated in the auditory cortex and occurred in response to both pitch violations but with larger amplitude for the more salient out-of-tune pitch than the less salient out-of-key pitch. Attentional processes leading to the conscious access of musical scale information were indexed by the late parietal positivity (resembling the P600 of the ERPs) elicited in response to both incongruous pitches in the active experiment only. Our results indicate that the relational properties of the musical scale are quickly and automatically extracted by the auditory cortex even before the intervention of focused attention.

Entities:  

Mesh:

Year:  2006        PMID: 16963000     DOI: 10.1016/j.brainres.2006.08.023

Source DB:  PubMed          Journal:  Brain Res        ISSN: 0006-8993            Impact factor:   3.252


  47 in total

1.  Evolution of tonal organization in music mirrors symbolic representation of perceptual reality. Part-1: Prehistoric.

Authors:  Aleksey Nikolsky
Journal:  Front Psychol       Date:  2015-10-16

Review 2.  Hearing and music in dementia.

Authors:  Julene K Johnson; Maggie L Chow
Journal:  Handb Clin Neurol       Date:  2015

3.  Development of auditory phase-locked activity for music sounds.

Authors:  Antoine J Shahin; Laurel J Trainor; Larry E Roberts; Kristina C Backer; Lee M Miller
Journal:  J Neurophysiol       Date:  2009-10-28       Impact factor: 2.714

4.  The Rapid Emergence of Musical Pitch Structure in Human Cortex.

Authors:  Narayan Sankaran; Thomas A Carlson; William Forde Thompson
Journal:  J Neurosci       Date:  2020-01-30       Impact factor: 6.167

5.  Cortical Activity during Perception of Musical Rhythm; Comparing Musicians and Non-musicians.

Authors:  Assal Habibi; Vinthia Wirantana; Arnold Starr
Journal:  Psychomusicology       Date:  2014-06-01

6.  Auditory-nerve responses predict pitch attributes related to musical consonance-dissonance for normal and impaired hearing.

Authors:  Gavin M Bidelman; Michael G Heinz
Journal:  J Acoust Soc Am       Date:  2011-09       Impact factor: 1.840

7.  Musical and linguistic syntactic processing in agrammatic aphasia: An ERP study.

Authors:  Brianne Chiappetta; Aniruddh D Patel; Cynthia K Thompson
Journal:  J Neurolinguistics       Date:  2021-12-15       Impact factor: 1.710

8.  Evolution of Tonal Organization in Music Optimizes Neural Mechanisms in Symbolic Encoding of Perceptual Reality. Part-2: Ancient to Seventeenth Century.

Authors:  Aleksey Nikolsky
Journal:  Front Psychol       Date:  2016-03-30

9.  Neural correlates of consonance, dissonance, and the hierarchy of musical pitch in the human brainstem.

Authors:  Gavin M Bidelman; Ananthanarayan Krishnan
Journal:  J Neurosci       Date:  2009-10-21       Impact factor: 6.167

Review 10.  Mismatch negativity (MMN) as an index of cognitive dysfunction.

Authors:  Risto Näätänen; Elyse S Sussman; Dean Salisbury; Valerie L Shafer
Journal:  Brain Topogr       Date:  2014-05-17       Impact factor: 3.020

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