Literature DB >> 11445279

Event-related brain potentials to sound omissions differ in musicians and non-musicians.

J Rüsseler1, E Altenmüller, W Nager, C Kohlmetz, T F Münte.   

Abstract

The mismatch negativity (MMN) component of the auditory event-related brain potential reflects the automatic detection of sound change. MMN to occasionally omitted sounds in a tone series can be used to investigate the time course of temporal integration in the acoustic system. We used MMN to study differences in temporal integration in musicians and non-musicians. In experiment 1, occasionally omitted 'sounds' in an otherwise regular tone series evoked a reliable MMN at interstimulus intervals (SOAs) of 100, 120, 180 and 220 ms in musicians. In non-musicians, MMN was smaller/absent in the 180 and 220 ms SOAs, respectively. In experiment 2, deviance of a tone was induced by presenting tones at a shorter SOA (100 or 130 ms) compared to the standard stimulus (150 ms). Musicians showed a reliable MMN for both deviant SOAs whereas non-musicians showed an MMN only for tones presented 50 ms prior to a standard tone (SOA 100 ms). These results indicate that the temporal window of integration seems to be longer and more precise in musicians compared to musical laypersons and that long-term training is reflected in changes in neural activity.

Mesh:

Year:  2001        PMID: 11445279     DOI: 10.1016/s0304-3940(01)01977-2

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  28 in total

1.  Event-related potentials to changes of rhythmic unit: differences between musicians and nonmusicians.

Authors:  Pekcan Ungan; Türev Berki; Nurhan Erbil; Suha Yagcioglu; Mehmet Yüksel; Rezzan Utkucal
Journal:  Neurol Sci       Date:  2012-02-07       Impact factor: 3.307

2.  Enhanced brainstem encoding predicts musicians' perceptual advantages with pitch.

Authors:  Gavin M Bidelman; Ananthanarayan Krishnan; Jackson T Gandour
Journal:  Eur J Neurosci       Date:  2010-12-29       Impact factor: 3.386

3.  Tones and numbers: a combined EEG-MEG study on the effects of musical expertise in magnitude comparisons of audiovisual stimuli.

Authors:  Evangelos Paraskevopoulos; Anja Kuchenbuch; Sibylle C Herholz; Nikolaos Foroglou; Panagiotis Bamidis; Christo Pantev
Journal:  Hum Brain Mapp       Date:  2014-06-11       Impact factor: 5.038

4.  Musical expertise induces audiovisual integration of abstract congruency rules.

Authors:  Evangelos Paraskevopoulos; Anja Kuchenbuch; Sibylle C Herholz; Christo Pantev
Journal:  J Neurosci       Date:  2012-12-12       Impact factor: 6.167

5.  Effects of reverberation on brainstem representation of speech in musicians and non-musicians.

Authors:  Gavin M Bidelman; Ananthanarayan Krishnan
Journal:  Brain Res       Date:  2010-08-05       Impact factor: 3.252

6.  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

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.  Musical training induces functional plasticity in human hippocampus.

Authors:  Marcus Herdener; Fabrizio Esposito; Francesco di Salle; Christian Boller; Caroline C Hilti; Benedikt Habermeyer; Klaus Scheffler; Stephan Wetzel; Erich Seifritz; Katja Cattapan-Ludewig
Journal:  J Neurosci       Date:  2010-01-27       Impact factor: 6.167

9.  Toward a neural basis of music perception - a review and updated model.

Authors:  Stefan Koelsch
Journal:  Front Psychol       Date:  2011-06-09

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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