Literature DB >> 19494778

Preattentive cortical-evoked responses to pure tones, harmonic tones, and speech: influence of music training.

Dee A Nikjeh1, Jennifer J Lister, Stefan A Frisch.   

Abstract

OBJECTIVE: Cortical auditory evoked potentials, including mismatch negativity (MMN) and P3a to pure tones, harmonic complexes, and speech syllables, were examined across groups of trained musicians and nonmusicians. Because of the extensive formal and informal auditory training received by musicians throughout their lifespan, it was predicted that these electrophysiological indicators of preattentive pitch discrimination and involuntary attention change would distinguish musicians from nonmusicians and provide insight regarding the influence of auditory training and experience on central auditory function.
DESIGN: A total of 102 (67 trained musicians, 35 nonmusicians) right-handed young women with normal hearing participated in three auditory stimulus conditions: pure tones (25 musicians/15 nonmusicians), harmonic tones (42 musicians/20 nonmusicians), and speech syllables (26 musicians/15 nonmusicians). Pure tone and harmonic tone stimuli were presented in multideviant oddball paradigms designed to elicit MMN and P3a. Each paradigm included one standard and two infrequently occurring deviants. For the pure tone condition, the standard pure tone was 1000 Hz, and the two deviant tones differed in frequency from the standard by either 1.5% (1015 Hz) or 6% (1060 Hz). The harmonic tone complexes were digitally created and contained a fundamental frequency (F0) and three harmonics. The amplitude of each harmonic was divided by its harmonic number to create a natural amplitude contour in the frequency spectrum. The standard tone was G4 (F0 = 392 Hz), and the two deviant tones differed in fundamental frequency from the standard by 1.5% (F0 = 386 Hz) or 6% (F0 = 370 Hz). The fundamental frequencies of the harmonic tones occur within the average female vocal range. The third condition to elicit MMN and P3a was designed for the presentation of speech syllables (/ba/ and /da/) and was structured as a traditional oddball paradigm (one standard/one infrequent deviant). Each speech stimulus was presented as a standard and a deviant in separate blocks. P1-N1-P2 was elicited before each oddball task by presenting each auditory stimulus alone in single blocks. All cortical auditory evoked potentials were recorded in a passive listening condition.
RESULTS: Incidental findings revealed that musicians had longer P1 latencies for pure tones and smaller P1 amplitudes for harmonic tones than nonmusicians. There were no P1 group differences for speech stimuli. Musicians compared with nonmusicians had shorter MMN latencies for all deviances (harmonic tones, pure tones, and speech). Musicians had shorter P3a latencies to harmonic tones and speech but not to pure tones. MMN and P3a amplitude were modulated by deviant frequency but not by group membership.
CONCLUSIONS: Formally trained musicians compared with nonmusicians showed more efficient neural detection of pure tones and harmonic tones; demonstrated superior auditory sensory-memory traces for acoustic features of pure tones, harmonic tones, and speech; and revealed enhanced sensitivity to acoustic changes of spectrally rich stimuli (i.e., harmonic tones and speech). Findings support a general influence of music training on central auditory function and illustrate experience-facilitated modulation of the auditory neural system.

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Mesh:

Year:  2009        PMID: 19494778     DOI: 10.1097/AUD.0b013e3181a61bf2

Source DB:  PubMed          Journal:  Ear Hear        ISSN: 0196-0202            Impact factor:   3.570


  27 in total

1.  Keys to staying sharp: A randomized clinical trial of piano training among older adults with and without mild cognitive impairment.

Authors:  Elizabeth M Hudak; Jennifer Bugos; Ross Andel; Jennifer J Lister; Ming Ji; Jerri D Edwards
Journal:  Contemp Clin Trials       Date:  2019-06-18       Impact factor: 2.226

2.  The investigation of cortical auditory evoked potentials responses in young adults having musical education.

Authors:  Zahra Polat; Ahmet Ataş
Journal:  Balkan Med J       Date:  2014-12-01       Impact factor: 2.021

3.  The analysis of simple and complex auditory signals in human auditory cortex: magnetoencephalographic evidence from M100 modulation.

Authors:  Julian Jenkins; William J Idsardi; David Poeppel
Journal:  Ear Hear       Date:  2010-08       Impact factor: 3.570

4.  Cortical Auditory Evoked Potentials Recorded From Nucleus Hybrid Cochlear Implant Users.

Authors:  Carolyn J Brown; Eun Kyung Jeon; Li-Kuei Chiou; Benjamin Kirby; Sue A Karsten; Christopher W Turner; Paul J Abbas
Journal:  Ear Hear       Date:  2015 Nov-Dec       Impact factor: 3.570

Review 5.  The development of the N1 and N2 components in auditory oddball paradigms: a systematic review with narrative analysis and suggested normative values.

Authors:  David Tomé; Fernando Barbosa; Kamila Nowak; João Marques-Teixeira
Journal:  J Neural Transm (Vienna)       Date:  2014-06-25       Impact factor: 3.575

6.  Mismatch negativity and adaptation measures of the late auditory evoked potential in cochlear implant users.

Authors:  Fawen Zhang; Theresa Hammer; Holly-Lolan Banks; Chelsea Benson; Jing Xiang; Qian-Jie Fu
Journal:  Hear Res       Date:  2010-12-01       Impact factor: 3.208

7.  Context-dependent encoding in the auditory brainstem subserves enhanced speech-in-noise perception in musicians.

Authors:  A Parbery-Clark; D L Strait; N Kraus
Journal:  Neuropsychologia       Date:  2011-08-16       Impact factor: 3.139

8.  ERP correlates of auditory processing during automatic correction of unexpected perturbations in voice auditory feedback.

Authors:  Oleg Korzyukov; Laura Karvelis; Roozbeh Behroozmand; Charles R Larson
Journal:  Int J Psychophysiol       Date:  2011-10-30       Impact factor: 2.997

9.  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

10.  Repeated stimulus exposure alters the way sound is encoded in the human brain.

Authors:  Kelly L Tremblay; Kayo Inoue; Katrina McClannahan; Bernhard Ross
Journal:  PLoS One       Date:  2010-04-22       Impact factor: 3.240

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