Literature DB >> 16837859

Sound processing in amateur musicians and nonmusicians: event-related potential and behavioral indices.

Mari Tervaniemi1, Anu Castaneda, Monja Knoll, Maria Uther.   

Abstract

To increase our understanding of auditory neurocognition in musicians, we compared nonmusicians with amateur band musicians in their neural and behavioral sound encoding accuracy. Mismatch negativity and P3a components of the auditory event-related potentials were recorded to changes in basic acoustic features (frequency, duration, location, intensity, gap) and abstract features (melodic contour and interval size). Mismatch negativity was larger in musicians than in nonmusicians for location changes whereas no statistically significant group difference was observed in response to other feature changes or in abstract-feature mismatch negativity. P3a was observed only in musicians in response to location changes. This suggests that when compared with nonmusicians, even amateur musicians have neural sound processing advantages with acoustic information most essential to their musical genre.

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Year:  2006        PMID: 16837859     DOI: 10.1097/01.wnr.0000230510.55596.8b

Source DB:  PubMed          Journal:  Neuroreport        ISSN: 0959-4965            Impact factor:   1.837


  26 in total

1.  The "silent" imprint of musical training.

Authors:  Carina Klein; Franziskus Liem; Jürgen Hänggi; Stefan Elmer; Lutz Jäncke
Journal:  Hum Brain Mapp       Date:  2015-11-05       Impact factor: 5.038

2.  Neural correlates of pre-attentive processing of pattern deviance in professional musicians.

Authors:  Benedikt Habermeyer; Marcus Herdener; Fabrizio Esposito; Caroline C Hilti; Markus Klarhöfer; Francesco di Salle; Stephan Wetzel; Klaus Scheffler; Katja Cattapan-Ludewig; Erich Seifritz
Journal:  Hum Brain Mapp       Date:  2009-11       Impact factor: 5.038

3.  Size and synchronization of auditory cortex promotes musical, literacy, and attentional skills in children.

Authors:  Annemarie Seither-Preisler; Richard Parncutt; Peter Schneider
Journal:  J Neurosci       Date:  2014-08-13       Impact factor: 6.167

4.  Transitional Probabilities Are Prioritized over Stimulus/Pattern Probabilities in Auditory Deviance Detection: Memory Basis for Predictive Sound Processing.

Authors:  Maria Mittag; Rika Takegata; István Winkler
Journal:  J Neurosci       Date:  2016-09-14       Impact factor: 6.167

5.  Musicians have fine-tuned neural distinction of speech syllables.

Authors:  A Parbery-Clark; A Tierney; D L Strait; N Kraus
Journal:  Neuroscience       Date:  2012-05-23       Impact factor: 3.590

6.  The relation between instrumental musical activity and cognitive aging.

Authors:  Brenda Hanna-Pladdy; Alicia MacKay
Journal:  Neuropsychology       Date:  2011-05       Impact factor: 3.295

7.  Effects of musical training on sound pattern processing in high-school students.

Authors:  Wenjung Wang; Laura Staffaroni; Errold Reid; Mitchell Steinschneider; Elyse Sussman
Journal:  Int J Pediatr Otorhinolaryngol       Date:  2009-03-06       Impact factor: 1.675

8.  Neuroplasticity in the processing of pitch dimensions: a multidimensional scaling analysis of the mismatch negativity.

Authors:  Bharath Chandrasekaran; Jackson T Gandour; Ananthanarayan Krishnan
Journal:  Restor Neurol Neurosci       Date:  2007       Impact factor: 2.406

Review 9.  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

10.  The perception of musical spontaneity in improvised and imitated jazz performances.

Authors:  Annerose Engel; Peter E Keller
Journal:  Front Psychol       Date:  2011-05-03
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