DOI QR코드

DOI QR Code

Effect of Listening Biographies on Frequency Following Response Responses of Vocalists, Violinists, and Non-Musicians to Indian Carnatic Music Stimuli

  • Received : 2021.02.22
  • Accepted : 2021.06.09
  • Published : 2021.07.20

Abstract

Background and Objectives: The current study investigates pitch coding using frequency following response (FFR) among vocalists, violinists, and non-musicians for Indian Carnatic transition music stimuli and assesses whether their listening biographies strengthen their F0 neural encoding for these stimuli. Subjects and Methods: Three participant groups in the age range of 18-45 years were included in the study. The first group of participants consisted of 20 trained Carnatic vocalists, the second group consisted of 13 trained violinists, and the third group consisted of 22 non-musicians. The stimuli consisted of three Indian Carnatic raga notes (/S-R2-G3/), which was sung by a trained vocalist and played by a trained violinist. For the purposes of this study, the two transitions between the notes T1=/S-R2/ and T2=/R2-G3/ were analyzed, and FFRs were recorded binaurally at 80 dB SPL using neuroscan equipment. Results: Overall average responses of the participants were generated. To assess the participants' pitch tracking to the Carnatic music stimuli, stimulus to response correlation (CC), pitch strength (PS), and pitch error (PE) were measured. Results revealed that both the vocalists and violinists had better CC and PS values with lower PE values, as compared to non-musicians, for both vocal and violin T1 and T2 transition stimuli. Between the musician groups, the vocalists were found to perform superiorly to the violinists for both vocal and violin T1 and T2 transition stimuli. Conclusions: Listening biographies strengthened F0 neural coding, with respect to the vocalists for vocal stimulus at the brainstem level. The violinists, on the other hand, did not show such preference.

Keywords

Acknowledgement

The authors would like to thank all the participants and All India Institute of Speech and Hearing for providing the infrastructure.

References

  1. Skoe E, Kraus N. Auditory brain stem response to complex sounds: a tutorial. Ear Hear 2010;31:302-24. https://doi.org/10.1097/AUD.0b013e3181cdb272
  2. McAnally KI, Stein JF. Scalp potentials evoked by amplitude-modulated tones in dyslexia. J Speech Lang Hear Res 1997;40:939-45. https://doi.org/10.1044/jslhr.4004.939
  3. Aiken SJ, Picton TW. Envelope and spectral frequency-following responses to vowel sounds. Hear Res 2008;245:35-47. https://doi.org/10.1016/j.heares.2008.08.004
  4. Wang J, Nicol T, Skoe E, Sams M, Kraus N. Emotion modulates early auditory response to speech. J Cogn Neurosci 2009;21:2121-8. https://doi.org/10.1162/jocn.2008.21147
  5. Bidelman GM, Gandour JT, Krishnan A. Cross-domain effects of music and language experience on the representation of pitch in the human auditory brainstem. J Cogn Neurosci 2011;23:425-34. https://doi.org/10.1162/jocn.2009.21362
  6. Strait DL, Kraus N, Skoe E, Ashley R. Musical experience and neural efficiency: effects of training on subcortical processing of vocal expressions of emotion. Eur J Neurosci 2009;29:661-8. https://doi.org/10.1111/j.1460-9568.2009.06617.x
  7. Krishnan A, Swaminathan J, Gandour JT. Experience-dependent enhancement of linguistic pitch representation in the brainstem is not specific to a speech context. J Cogn Neurosci 2009;21:1092-105. https://doi.org/10.1162/jocn.2009.21077
  8. Kraus N, Chandrasekaran B. Music training for the development of auditory skills. Nat Rev Neurosci 2010;11:599-605. https://doi.org/10.1038/nrn2882
  9. Wong PC, Skoe E, Russo NM, Dees T, Kraus N. Musical experience shapes human brainstem encoding of linguistic pitch patterns. Nat Neurosci 2007;10:420-2. https://doi.org/10.1038/nn1872
  10. Bhat JP, Rajalakshmi K. Pitch coding in vocalists and non musicians to Carnatic music stimuli: a frequency following response (FFR) study. Int J Health Sci Res 2020;10:16-21.
  11. Spiegel MF, Watson CS. Performance on frequency-discrimination tasks by musicians and nonmusicians. J Acoust Soc Am 1984;76:1690-5. https://doi.org/10.1121/1.391605
  12. Nikjeh DA, Lister JJ, Frisch SA. Hearing of note: an electrophysiologic and psychoacoustic comparison of pitch discrimination between vocal and instrumental musicians. Psychophysiology 2006;45:994-1007. https://doi.org/10.1111/j.1469-8986.2008.00689.x
  13. Koelsch S, Schmidt BH, Kansok J. Effects of musical expertise on the early right anterior negativity: an event-related brain potential study. Psychophysiology 2002;39:657-63. https://doi.org/10.1017.S0048577202010508
  14. Shahin A, Bosnyak DJ, Trainor LJ, Roberts LE. Enhancement of neuroplastic P2 and N1c auditory evoked potentials in musicians. J Neurosci 2003;23:5545-52. https://doi.org/10.1523/jneurosci.23-13-05545.2003