Pitch discrimination accuracy in musicians vs nonmusicians: an event-related potential and behavioral study
- PMID: 15551089
- DOI: 10.1007/s00221-004-2044-5
Pitch discrimination accuracy in musicians vs nonmusicians: an event-related potential and behavioral study
Abstract
Previously, professional violin players were found to automatically discriminate tiny pitch changes, not discriminable by nonmusicians. The present study addressed the pitch processing accuracy in musicians with expertise in playing a wide selection of instruments (e.g., piano; wind and string instruments). Of specific interest was whether also musicians with such divergent backgrounds have facilitated accuracy in automatic and/or attentive levels of auditory processing. Thirteen professional musicians and 13 nonmusicians were presented with frequent standard sounds and rare deviant sounds (0.8, 2, or 4% higher in frequency). Auditory event-related potentials evoked by these sounds were recorded while first the subjects read a self-chosen book and second they indicated behaviorally the detection of sounds with deviant frequency. Musicians detected the pitch changes faster and more accurately than nonmusicians. The N2b and P3 responses recorded during attentive listening had larger amplitude in musicians than in nonmusicians. Interestingly, the superiority in pitch discrimination accuracy in musicians over nonmusicians was observed not only with the 0.8% but also with the 2% frequency changes. Moreover, also nonmusicians detected quite reliably the smallest pitch changes of 0.8%. However, the mismatch negativity (MMN) and P3a recorded during a reading condition did not differentiate musicians and nonmusicians. These results suggest that musical expertise may exert its effects merely at attentive levels of processing and not necessarily already at the preattentive levels.
Similar articles
-
Preattentive cortical-evoked responses to pure tones, harmonic tones, and speech: influence of music training.Ear Hear. 2009 Aug;30(4):432-46. doi: 10.1097/AUD.0b013e3181a61bf2. Ear Hear. 2009. PMID: 19494778
-
Same or different pitch? Effects of musical expertise, pitch difference, and auditory task on the pitch discrimination ability of musicians and non-musicians.Exp Brain Res. 2020 Jan;238(1):247-258. doi: 10.1007/s00221-019-05707-8. Epub 2019 Dec 16. Exp Brain Res. 2020. PMID: 31844911
-
Grouping of sequential sounds--an event-related potential study comparing musicians and nonmusicians.J Cogn Neurosci. 2004 Mar;16(2):331-8. doi: 10.1162/089892904322984607. J Cogn Neurosci. 2004. PMID: 15068601 Clinical Trial.
-
Specialization of the specialized: electrophysiological investigations in professional musicians.Ann N Y Acad Sci. 2003 Nov;999:131-9. doi: 10.1196/annals.1284.014. Ann N Y Acad Sci. 2003. PMID: 14681126 Review.
-
The Mismatch Negativity: An Indicator of Perception of Regularities in Music.Behav Neurol. 2015;2015:469508. doi: 10.1155/2015/469508. Epub 2015 Oct 4. Behav Neurol. 2015. PMID: 26504352 Free PMC article. Review.
Cited by
-
Musical training is not associated with spectral context effects in instrument sound categorization.Atten Percept Psychophys. 2024 Apr;86(3):991-1007. doi: 10.3758/s13414-023-02839-6. Epub 2024 Jan 12. Atten Percept Psychophys. 2024. PMID: 38216848
-
Auditory and visual short-term memory: influence of material type, contour, and musical expertise.Psychol Res. 2022 Mar;86(2):421-442. doi: 10.1007/s00426-021-01519-0. Epub 2021 Apr 21. Psychol Res. 2022. PMID: 33881610 Free PMC article.
-
Neural correlates of accelerated auditory processing in children engaged in music training.Dev Cogn Neurosci. 2016 Oct;21:1-14. doi: 10.1016/j.dcn.2016.04.003. Epub 2016 Apr 16. Dev Cogn Neurosci. 2016. PMID: 27490304 Free PMC article.
-
Musicians and non-musicians are equally adept at perceiving masked speech.J Acoust Soc Am. 2015 Jan;137(1):378-87. doi: 10.1121/1.4904537. J Acoust Soc Am. 2015. PMID: 25618067 Free PMC article.
-
Neural implementation of musical expertise and cognitive transfers: could they be promising in the framework of normal cognitive aging?Front Hum Neurosci. 2013 Oct 22;7:693. doi: 10.3389/fnhum.2013.00693. eCollection 2013. Front Hum Neurosci. 2013. PMID: 24155709 Free PMC article. Review.
References
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
