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Neurophysiology

, Volume 50, Issue 3, pp 203–208 | Cite as

Parameters of Components N2 and P3 of the Auditory Cognitive Evoked Potentials in Musicians and Non-musicians

  • A. G. Okhrei
  • N. V. Kutsenko
  • N. Yu. Makarchuk
Article
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We measured time parameters of the cognitive components in the auditory evoked potentials in professional musicians and non-musicians in order to determine electrophysiological correlates of the information processing rate and differentiation of the stimuli in such examined groups. It was found that the latencies of components N2 and Р3 were, on average, shorter in subjects that professionally practice music than those in non-musicians; at the same time, there were no differences between the peak-to-peak N2-P3 amplitudes in these groups. The revealed regularities can indicate that central processes of differentiation of auditory stimuli in musicians are realized more rapidly, and, correspondingly, the processing of the obtained information is quicker.

Keywords

auditory cognitive evoked potentials time and amplitude parameters musicians nonmusicians 
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References

  1. 1.
    Y. C. Ho, MN. C. Cheung, and A. S. Chan, “Music training improves verbal but not visual memory: crosssectional and longitudinal explorations in children,” Neuropsychology, 17, No. 3, 439-450 (2003).CrossRefGoogle Scholar
  2. 2.
    E. M. George and D. Coch, “Music training and working memory: An ERP study,” Neuropsychologia, 49, No. 5, 1083-1094 (2011).CrossRefGoogle Scholar
  3. 3.
    A. Parbery-Clark, E. Skoe, C. Lam, and N. Kraus, “Musician enhancement for speech-in-noise,” Ear Hear., 30, No. 6, 653-661 (2009).CrossRefGoogle Scholar
  4. 4.
    M. S. Franklin, K. Sledge Moore, C. Yip, et al., “The effects of musical training on verbal memory,” Psychol. Music, 36, No. 3, 353-365 (2008).CrossRefGoogle Scholar
  5. 5.
    L. L. Patston, S. L. Hogg, amd L. J. Tippett, “Attention in musicians is more bilateral than in non-musicians,” Laterality, 12, No. 3, 262-272 (2007).CrossRefGoogle Scholar
  6. 6.
    M. F. Gardiner, A. Fox, F. Knowles, and D. Jeffrey, “Learning improved by arts training,” Nature, 381, No. 6580, 284 (1996).CrossRefGoogle Scholar
  7. 7.
    J. M. Cheek and L. R. Smith, “Music training and mathematics achievement,” Adolescence, 34, No. 136, 759-761 (1999).PubMedGoogle Scholar
  8. 8.
    A. B. Graziano, M. Peterson, and G. L. Shaw, “Enhanced learning of proportional math through music training and spatial-temporal training,” Neurol. Res., 21, No. 2, 139-152 (1999).CrossRefGoogle Scholar
  9. 9.
    M. E. Nering, “The effect of piano and music instruction on intelligence of monozygotic twins,” Dissertation Abstracts, International Section A: Humanities and Social Sciences, 63, No. 3-A, 812 (2002).Google Scholar
  10. 10.
    E. G. Schellenberg, “Music lessons enhance IQ,” Psychol. Sci., 15, No. 8, 511-514 (2004).CrossRefGoogle Scholar
  11. 11.
    Y. Lee, M. Lu, and H. Ko, “Effects of skill training on working memory capacity,” Learn. Instruct., 17, 336-344 (2007).CrossRefGoogle Scholar
  12. 12.
    D. L. Strait, N. Kraus, A. Parbery-Clark, and R. Ashley, “Musical experience shapes top-down auditory mechanisms: Evidence from masking and auditory attention performance,” Hear. Res., 261, Nos. 1–2, 22-29 (2010).CrossRefGoogle Scholar
  13. 13.
    A. G. Okhrei, T. V. Kutsenko, and M. Yu. Makarchuk, “Performance of working memory of musicians and nonmusicians in tests with letters, digits, and geometrical shapes,” Biologija, 62, No. 4, 207-215 (2016).Google Scholar
  14. 14.
    A. G. Okhrei, T. V. Kutsenko, and M. Yu. Makarchuk, “Performance of the Stroop test with estimation of spatial localization of stimuli by musicians and nonmusicians,” Visn. Cherkas. Univ., No. 1, 82-89 (2016).Google Scholar
  15. 15.
    A. G. Okhrei, T. V. Kutsenko, and M. Yu. Makarchuk, “Effects of music training on the performance of direct and reverse Stroop tests,” Visn. Taras Shevchenko Kyiv Natl. Univ., No. 21, 14-18 (2016).Google Scholar
  16. 16.
    R. Brochard, A. Dufour, and O. Després, “Effect of musical expertise on visuospatial abilities: Evidence from reaction times and mental imagery,” Brain Cognit., 54, 103-109 (2004).CrossRefGoogle Scholar
  17. 17.
    L. L. Patston, “Balanced brains: An investigation of visuospatial ability and lateralization in musicians,” Thesis submitted in partial fulfillment of the requirements of the degree of Doctor of Philosophy in Psychology, Auckland (2007).Google Scholar
  18. 18.
    В V. V. Gnezditskii, Evoked Brain Potentials in Clinical Practice [in Russian], Publ. House of the TRTU, Taganrog (1997).Google Scholar
  19. 19.
    S. H. Patel and P. N. Azzam, “Characterization of N200 and P300: Selected studies of the event-related potential,” Int. J. Med. Sci., 2, 147-154 (2005).CrossRefGoogle Scholar
  20. 20.
    J. Polich, “Updating P300: An integrative theory of P3a and P3b,” Clin. Neurophysiol., 118, 2128-2148 (2007).CrossRefGoogle Scholar
  21. 21.
    A. G. Okhrei, T. V. Kutsenko, and M. Yu. Makarchuk, “Specificity of auditory cognitive evoked potentials in musicians,” Neurophysiology, 43, No. 6, 507-509 (2011).CrossRefGoogle Scholar
  22. 22.
    J. Polich and A. Kok, “Cognitive and biological determinants of P300: an integrative review,” Biol. Psychol., 41, No. 2, 103-146 (1995).CrossRefGoogle Scholar
  23. 23.
    J. Polich, L. Howard, and A. Starr, “P300 latency correlates with digits pan,” Psychophysiology, 20, No. 6, 665-670 (1983).CrossRefGoogle Scholar
  24. 24.
    D. A. Nikjeh, J. J. Lister, and S. A. Frisch, “Hearing of note: An electrophysiologic and psychoacoustic comparison of pitch discrimination between vocal and instrumental musicians,” Psychophysiology, 45, No. 6, 994-1007 (2008).CrossRefGoogle Scholar
  25. 25.
    L. Trainor, R. Desjardins, and C. Rockel,“A comparison of contour and interval processing in musicians and nonmusicians using event-related potentials,” Aust. J. Psychol., 51, No. 3, 147-153 (1999).CrossRefGoogle Scholar
  26. 26.
    M. Besson and F. Faïta, “An event-related potential (ERP) study of musical expectancy: Comparison of musicians with nonmusicians”, J. Exp. Psychol. Human Percept. Perform., 21, No. 6, 1278-1296 (1995).CrossRefGoogle Scholar
  27. 27.
    E. Genç, N. Yağişan, E. Apaydin Doğan, and B. O. Genç, “Effect of musical training on auditory event-related potentials N200 (mismatch negativity) and P300,” Turk. Klinikleri J. Med. Sci., 29, No. 1, 104-109 (2009).Google Scholar
  28. 28.
    C. Faßhauer, A. Frese, and S. Evers, “Musical ability is associated with enhanced auditory and visual cognitive processing,” BMC Neurosci., 16, 59 (2015).CrossRefGoogle Scholar

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© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • A. G. Okhrei
    • 1
  • N. V. Kutsenko
    • 1
  • N. Yu. Makarchuk
    • 1
  1. 1.Educational/Scientific Center “Institute of Biology and Medicine” at the Taras Shevchenko Kyiv National UniversityKyivUkraine

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