2012
DOI: 10.1111/j.1460-9568.2012.08278.x
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Effects of musical training on the early auditory cortical representation of pitch transitions as indexed by change‐N1

Abstract: The effects of musical training on the early auditory cortical response to pitch transitions in music were investigated by use of the change-N1 component of auditory event-related potentials. Musicians and non-musicians were presented with music stimuli comprising a melody and a harmony under various listening conditions. First, when the subjects played a video game and were instructed to ignore the auditory stimuli, the onset of stimuli elicited a typical, fronto-central onset-N1, whereas melodic and harmonic… Show more

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Cited by 20 publications
(25 citation statements)
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“…For example, in response to pure tones, musicians exhibit larger amplitudes of the early cortical components (N19m–P30m) within the right primary auditory cortex of trained musicians only; non-musicians show no hemispheric asymmetry (Schneider et al, 2002). In response to musical stimuli, a right temporal advantage is seen in the cortical N1 component related to pitch transition (change-N1, ~100 ms latency) in trained musicians (Itoh, Okumiya-Kanke, Nakayama, Kwee, & Nakada, 2012). But no hemispheric asymmetry is observed for the onset component.…”
Section: Discussionmentioning
confidence: 99%
“…For example, in response to pure tones, musicians exhibit larger amplitudes of the early cortical components (N19m–P30m) within the right primary auditory cortex of trained musicians only; non-musicians show no hemispheric asymmetry (Schneider et al, 2002). In response to musical stimuli, a right temporal advantage is seen in the cortical N1 component related to pitch transition (change-N1, ~100 ms latency) in trained musicians (Itoh, Okumiya-Kanke, Nakayama, Kwee, & Nakada, 2012). But no hemispheric asymmetry is observed for the onset component.…”
Section: Discussionmentioning
confidence: 99%
“…From the research mentioned in the description of some common ERP components (Sect. 1.3), we have seen that sounds ranging from simple sounds, like clicks or tone bursts (e.g., [49,50]), to complex sounds such as music (e.g., [51,52]) or speech (e.g., [53]) can be employed. Sound stimuli can also be presented in multimodal research, with stimuli of other sensory modalities (e.g., [54]).…”
Section: Sound Stimuli and Preparationmentioning
confidence: 99%
“…Given that basic participant factors (gender, age, handedness) and differences in possible task-related factors (e.g., musical training [51,52]) can cause individual differences in the EEG waveform, it is highly recommendable to systematically record participant information. Furthermore, it is necessary to match participants for such factors when ERP responses to different tasks or stimuli are measured over different groups.…”
Section: Participantsmentioning
confidence: 99%
“…In some disagreement with this, recent EEG data showed increased N100 responses related to pitch transitions in musicians as compared with nonmusicians [8]. We speculate that, besides methodological differences between fMRI and electrophysiological data, differences in the experimental design may also account for this discrepancy.…”
Section: Discussionmentioning
confidence: 87%
“…Structural analyses showed significant local increments of grey matter volume and cortical thickness as well as changes in white matter fibre tract organization, both in the auditory cortex and in other nonauditory brain regions [2][3][4]. In addition to such anatomical differences, professional musicians show differences in auditory-evoked responses to sound at various stages of the auditory pathway, ranging from the brainstem to the secondary auditory cortex [5][6][7][8][9][10]. A question that has, however, only rarely been addressed is the relationship between individual musical abilities and neural processing in normal listeners.…”
Section: Introductionmentioning
confidence: 97%