The analysis of сognitive processing speed of pure tones during their bi- and monaural presentation in musicians and non-musicians

Authors

  • Artem Okhrei Taras Shevchenko National University of Kyiv Volodymyrska str., 64/13, Kyiv, Ukraine, 01601, Ukraine https://orcid.org/0000-0002-4596-1492
  • Tetiana Kutsenko Taras Shevchenko National University of Kyiv Volodymyrska str., 64/13, Kyiv, Ukraine, 01601, Ukraine
  • Mykola Makarchuk Taras Shevchenko National University of Kyiv Volodymyrska str., 64/13, Kyiv, Ukraine, 01601, Ukraine

DOI:

https://doi.org/10.15587/2519-8025.2017.99882

Keywords:

cognitive evoked potentials, binaural stimulation, monaural stimulation, musicians, non-musicians

Abstract

Aim of research. The analysis of the tones processing speed of at their bi- and monaural presentation by the parameters of latent periods of auricular cognitive evoked potentials in musician and non-musicians.

Methods. The method of registration of cognitive evoked potentials of auricular modality was used.

Results of research. Musicians have shorter latent periods of the components N2 and Р3 of cognitive evoked potentials at bi- and monaural presentation of tones. At left-side presentation of tones there were not revealed any differences between musicians and non-musicians as to the latent periods N2, P3, N3. There were not revealed any differences between musicians and non-musicians as to the inter-peak interval N2-P3; the interval N2-N3 is longer in musicians in the right hemisphere at binaural presentation of tones. The amplitude of the component Р3 did not differ between groups.

Conclusions. At binaural and right-side presentation of tones, musicians process them faster than non-musicians, because the process of stimulus recognition starts earlier in musicians. At the left-side presentation of tones, the differences in their processing speed in musician and non-musicians are not revealed

Author Biographies

Artem Okhrei, Taras Shevchenko National University of Kyiv Volodymyrska str., 64/13, Kyiv, Ukraine, 01601

Postgraduate student

Department of Physiology and Anatomy

ESC «Institute of Biology and Medicine» 

Tetiana Kutsenko, Taras Shevchenko National University of Kyiv Volodymyrska str., 64/13, Kyiv, Ukraine, 01601

PhD, Associate Professor

Department of Physiology and Anatomy

Mykola Makarchuk, Taras Shevchenko National University of Kyiv Volodymyrska str., 64/13, Kyiv, Ukraine, 01601

Doctor of Biological Sciences, Professor

Department of Physiology and Anatomy

ESC «Institute of Biology and Medicine» 

References

  1. Ho, Y. C., Cheung, M. C., Chan, A. S. (2003). Music training improves verbal but not visual memory: Cross-sectional and longitudinal explorations in children. Neuropsychology, 17 (3), 439–450. doi: 10.1037/0894-4105.17.3.439
  2. Moreno, S., Marques, C., Santos, A., Santos, M., Castro, S. L., Besson, M. (2008). Musical Training Influences Linguistic Abilities in 8-Year-Old Children: More Evidence for Brain Plasticity. Cerebral Cortex, 19 (3), 712–723. doi: 10.1093/cercor/bhn120
  3. Gardiner, M. F., Fox, A., Knowles, F., Jeffrey, D. (1996). Learning improved by arts training. Nature, 381 (6580), 284. doi: 10.1038/381284a0
  4. Cheek, J. M., Smith, L. R. (1999). Music training and mathematics achievement. Adolescence, 34 (136), 759–761.
  5. Graziano, A. B., Peterson, M., Shaw, G. L. (1999). Enhanced learning of proportional math through music training and spatial-temporal training. Neurological Research, 21 (2), 139–152. doi: 10.1080/01616412.1999.11740910
  6. Patston, L. L., Hogg, S. L., Tippett, L. J. (2007). Attention in musicians is more bilateral than in non-musicians. Laterality: Asymmetries of Body, Brain and Cognition, 12 (3), 262–272. doi: 10.1080/13576500701251981
  7. Nering, M. E. (2002). The effect of piano and music instruction on intelligence of monozygotic twins. Dissertation Abstracts International Section A: Humanities and Social Sciences, 63 (3-A), 812.
  8. Schellenberg, E. G. (2004). Music Lessons Enhance IQ. Psychological Science, 15 (8), 511–514. doi: 10.1111/j.0956-7976.2004.00711.x
  9. George, E. M., Coch, D. (2011). Music training and working memory: An ERP study. Neuropsychologia, 49 (5), 1083–1094. doi: 10.1016/j.neuropsychologia.2011.02.001
  10. Lee, Y., Lu, M., Ko, H. (2007). Effects of skill training on working memory capacity. Learning and Instruction, 17 (3), 336–344. doi: 10.1016/j.learninstruc.2007.02.010
  11. Strait, D. L., Kraus, N., Parbery-Clark, A., Ashley, R. (2010). Musical experience shapes top-down auditory mechanisms: Evidence from masking and auditory attention performance. Hearing Research, 261 (1-2), 22–29. doi: 10.1016/j.heares.2009.12.021
  12. Okhrei, A., Kutsenko, T., Makarchuk, M. (2017). Performance of working memory of musicians and non-musicians in tests with letters, digits, and geometrical shapes. Biologija, 62 (4), 207–215. doi: 10.6001/biologija.v62i4.3408
  13. Faßhauer, C., Frese, A., Evers, S. (2015). Musical ability is associated with enhanced auditory and visual cognitive processing. BMC Neuroscience, 16 (1), 59. doi: 10.1186/s12868-015-0200-4
  14. Brochard, R., Dufour, A., Despres, O. (2004). Effect of musical expertise on visuospatial abilities: Evidence from reaction times and mental imagery. Brain and Cognition, 54 (2), 103–109. doi: 10.1016/s0278-2626(03)00264-1
  15. Patston, L. L. (2007). Balanced Brains: An investigation of visuospatial ability and lateralization in musicians. Auckland, 145.
  16. Okhrei, A. G., Kutsenko, T. V., Makarchuk, M. E. (2016). Vykonannya testu Strupa z vyznachennyam prostorovoyi lokalizatsiyi stymuliv muzykantamy ta nemuzikantamy [The fulfillment of Stroop test with identification of spatial localization of stimuli in musicians and non-musicians]. Vistnyk Cherkas’kogo Universytetu, 1, 82–89.
  17. Okhrei, A. G., Kutsenko, T. V., Makarchuk, M. E. (2016). Vplyv zanyatʹ muzykoyu na vykonannya pryamoho i zvorotnoho testiv Strupa [The influence of music training on the fulfillment of direct and reverse Stroop test]. Visnyk Kyyivsʹkoho natsionalʹnoho universytetu, 21, 14–18.
  18. Hnezdytskyy, V. V. (1997). Vyzvannye potentsyaly mozha v klynycheskoy praktyke [Event-related brain potentials in clinical practice]. Taganrog: TRTU, 252.
  19. Patel, S. H., Azzam, P. N. (2005). Characterization of N200 and P300: Selected Studies of the Event-Related Potential. International Journal of Medical Sciences, 2, 147–154. doi: 10.7150/ijms.2.147
  20. Polich, J. (2007). Updating P300: An integrative theory of P3a and P3b. Clinical Neurophysiology, 118 (10), 2128–2148. doi: 10.1016/j.clinph.2007.04.019
  21. Nikjeh, D. A., Lister, J. J., Frisch, S. A. (2008). Hearing of note: An electrophysiologic and psychoacoustic comparison of pitch discrimination between vocal and instrumental musicians. Psychophysiology, 45 (6), 994–1007. doi: 10.1111/j.1469-8986.2008.00689.x
  22. Trainor, L. J., Desjardins, R. N., Rockel, C. (1999). A Comparison of Contour and Interval Processing in Musicians and Nonmusicians Using Event-Related Potentials. Australian Journal of Psychology, 51 (3), 147–153. doi: 10.1080/00049539908255352
  23. Besson, M., Faita, F. (1995). An event-related potential (ERP) study of musical expectancy: Comparison of musicians with nonmusicians. Journal of Experimental Psychology: Human Perception and Performance, 21 (6), 1278–1296. doi: 10.1037/0096-1523.21.6.1278
  24. Bever, T. G., Chiarello, R. J. (1974). Cerebral Dominance in Musicians and Nonmusicians. Science, 185 (4150), 537–539. doi: 10.1126/science.185.4150.537
  25. Mazziotta, J. C., Phelps, M. E., Carson, R. E., Kuhl, D. E. (1982). Tomographic mapping of human cerebral metabolism: Auditory stimulation. Neurology, 32 (9), 921–937. doi: 10.1212/wnl.32.9.921
  26. Hantz, E. C., Crummer, G. C., Wayman, J. W., Walton, J. P., Frisina, R. D. (1992). Effects of Musical Training and Absolute Pitch on the Neural Processing of Melodic Intervals: A P3 Event-Related Potential Study. Music Perception, 10 (1), 25–42. doi: 10.2307/40285536
  27. Nittono, H., Nageishi, Y., Nakajima, Y., Ullsperger, P. (1999). Event-related potential correlates of individual differences in working memory capacity. Psychophysiology, 36 (6), 745–754. doi: 10.1111/1469-8986.3660745

Published

2017-04-26

How to Cite

Okhrei, A., Kutsenko, T., & Makarchuk, M. (2017). The analysis of сognitive processing speed of pure tones during their bi- and monaural presentation in musicians and non-musicians. ScienceRise: Biological Science, (2 (5), 42–48. https://doi.org/10.15587/2519-8025.2017.99882

Issue

Section

Biological Sciences