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1981
Volume 14, Issue 1
  • ISSN: 2516-1989
  • E-ISSN: 2516-1997

Abstract

This study addresses the issue of sensitive periods – a developmental window when experience or stimulation has unusually strong and long-lasting impacts on certain areas of brain development and thus behaviour (Bailey and Penhune 2012) – for music training from a neurological perspective. Are there really sensitive periods in which early musical training has greater effects on the brain and behaviour than training later in life? Many neuroscience studies support the idea that beginning music training before the age of 7 is advantageous in many developmental aspects, based on their findings that early onset of music training is closely associated with enhanced structural and functional plasticity in visual-, auditory-, somatosensory- and motor-related regions of the brain. Although these studies help early childhood music educators expand understanding of the potential benefits of early music training, they often mislead us to believe that early onset is simply better. Careful consideration on details of these research studies should be given when we apply these research findings into practice. In this regard, this study provides a review of neuroscience studies related to the issue of sensitive periods for childhood music training and discusses how early childhood music educators could properly apply these findings to their music teaching practice.

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2019-06-01
2024-06-17
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References

  1. Baharloo, S.,, Johnston, P. A.,, Service, S. K.,, Gitschier, J., and Freimer, N. B.. ( 1998;), ‘ Absolute pitch: An approach for identification of genetic and nongenetic components. ’, The American Journal of Human Genetics, 62:2, pp. 22431.
    [Google Scholar]
  2. Bailey, J., and Penhune, V. B.. ( 2012;), ‘ A sensitive period for musical training: Contributions of age of onset and cognitive abilities. ’, Annals of the New York Academy of Sciences, 1252:1, pp. 16370.
    [Google Scholar]
  3. Bengtsson, S. L.,, Nagy, Z.,, Skare, S.,, Forsman, L.,, Forssberg, H., and Ullén, F.. ( 2005;), ‘ Extensive piano practicing has regionally specific effects on white matter development. ’, Nature Neuroscience, 8:9, pp. 114850.
    [Google Scholar]
  4. Bermudez, P.,, Lerch, J. P.,, Evans, A. C., and Zatorre, R. J.. ( 2009;), ‘ Neuroanatomical correlates of musicianship as revealed by cortical thickness and voxel-based morphometry. ’, Cerebral Cortex, 19:7, pp. 158396.
    [Google Scholar]
  5. Bilhartz, T. D.,, Bruhn, R. A., and Olson, J. E.. ( 2000;), ‘ The effect of early music training on child cognitive development. ’, Journal of Applied Developmental Psychology, 20:4, pp. 61536.
    [Google Scholar]
  6. Birdsong, D.. ( 2006;), ‘ Age and second language acquisition and processing: A selective overview. ’, Language Learning, 56:1, pp. 949.
    [Google Scholar]
  7. Braun, A., and Bock, J.. ( 2007;), ‘ Born to learn: Early learning optimizes brain function. ’, in W. Gruhn, and F. Rauscher. (eds), Neurosciences and Music Pedagogy, New York:: Nova Science Publishers;, pp. 2751.
    [Google Scholar]
  8. Chin, C. S.. ( 2003;), ‘ The development of absolute pitch: A theory concerning the roles of music training at an early developmental age and individual cognitive style. ’, Psychology of Music, 31:2, pp. 15571.
    [Google Scholar]
  9. Costa-Giomi, E.,, Gilmour, R.,, Siddell, J., and Lefebvre, E.. ( 2001;), ‘ Absolute pitch, early musical instruction, and spatial abilities. ’, Annals of the New York Academy of Sciences, 930:1, pp. 39496.
    [Google Scholar]
  10. Craik, F. I., and Bialystok, E.. ( 2006;), ‘ Cognition through the lifespan: Mechanisms of change. ’, Trends in Cognitive Sciences, 10:3, pp. 13138.
    [Google Scholar]
  11. Davis, Jessican H.. ( 2008), Why Our Schools Need the Arts, New York:: Teachers College Press;.
    [Google Scholar]
  12. Elbert, T.,, Pantev, C.,, Wienbruch, C.,, Rockstroh, B., and Taub, E.. ( 1995;), ‘ Increased cortical representation of the fingers of the left hand in string players. ’, Science, 270:5234, pp. 30507.
    [Google Scholar]
  13. Gaser, C., and Schlaug, G.. ( 2003;), ‘ Brain structures differ between musicians and non-musicians. ’, The Journal of Neuroscience, 23:27, pp. 924045.
    [Google Scholar]
  14. Gervain, J.,, Vines, B. W.,, Chen, L. M.,, Seo, R. J.,, Hensch, T. K.,, Werker, J. F., and Young, A. H.. ( 2013;), ‘ Valproate reopens critical-period learning of absolute pitch. ’, Frontiers in Systems Neuroscience, 7:102, https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3848041/. Accessed 23 April 2019.
    [Google Scholar]
  15. Gruhn, W.. ( 2002;), ‘ Phases and stages in early music learning: A longitudinal study on the development of young children’s musical potential. ’, Music Education Research, 4:1, pp. 5171.
    [Google Scholar]
  16. Habibi, A.,, Damasio, A.,, Ilari, B.,, Veiga, R.,, Joshi, A. A.,, Leahy, R. M., and Damasio, H.. ( 2017;), ‘ Childhood music training induces change in micro and macroscopic brain structure: Results from a longitudinal study. ’, Cerebral Cortex, 28:12, pp. 433647.
    [Google Scholar]
  17. Habibi, A.,, Ilari, B.,, Crimi, K.,, Metke, M.,, Kaplan, J. T.,, Joshi, A. A., and Ficek, B.. ( 2014;), ‘ An equal start: Absence of group differences in cognitive, social, and neural measures prior to music or sports training in children. ’, Frontiers in Human Neuroscience, 8:690, https://www.frontiersin.org/articles/10.3389/fnhum.2014.00690/full. Accessed 23 April 2019.
    [Google Scholar]
  18. Hallam, S.. ( 2010;), ‘ The power of music: Its impact on the intellectual, social and personal development of children and young people. ’, International Journal of Music Education, 28:3, pp. 26989.
    [Google Scholar]
  19. Hannon, E. E.,, Snyder, J. S.,, Eerola, T., and Krumhansl, C. L.. ( 2004;), ‘ The role of melodic and temporal cues in perceiving musical meter. ’, Journal of Experimental Psychology: Human Perception and Performance, 30:5, p. 956.
    [Google Scholar]
  20. Hannon, E. E., and Trainor, L. J.. ( 2007;), ‘ Music acquisition: Effects of enculturation and formal training on development. ’, Trends in Cognitive Sciences, 11:11, pp. 46672.
    [Google Scholar]
  21. Herholz, S. C., and Zatorre, R. J.. ( 2012;), ‘ Musical training as a framework for brain plasticity: Behavior, function, and structure. ’, Neuron, 76:3, pp. 486502.
    [Google Scholar]
  22. Hodges, D. A.. ( 2006;), ‘ The musical brain. ’, in G. E. McPherson. (ed.), The Child as Musician, New York:: Oxford University Press;, pp. 5168.
    [Google Scholar]
  23. Hubbard, R.. ( 2004;), ‘ Alphabet soup: Blurring the distinctions between p’s and a’s in psychological research. ’, Theory & Psychology, 14:3, pp. 295327.
    [Google Scholar]
  24. Huttenlocher, P. R.. ( 1990;), ‘ Morphometric study of human cerebral cortex development. ’, Neuropsychologia, 28:6, pp. 51727.
    [Google Scholar]
  25. Huttenlocher, P. R., and Dabholkar, A. S.. ( 1997;), ‘ Regional differences in synaptogenesis in human cerebral cortex. ’, Journal of Comparative Neurology, 387:2, pp. 16778.
    [Google Scholar]
  26. Hyde, K. L.,, Lerch, J.,, Norton, A.,, Forgeard, M.,, Winner, E.,, Evans, A. C., and Schlaug, G.. ( 2009;), ‘ The effects of musical training on structural brain development. ’, Annals of the New York Academy of Sciences, 1169:1, pp. 18286.
    [Google Scholar]
  27. Knudsen, E.. ( 2004;), ‘ Sensitive periods in the development of the brain and behavior. ’, Journal of Cognitive Neuroscience, 16:8, pp. 141225.
    [Google Scholar]
  28. Kral, A., and Sharma, A.. ( 2012;), ‘ Developmental neuroplasticity after cochlear implantation. ’, Trends in Neurosciences, 35:2, pp. 11122.
    [Google Scholar]
  29. Kraus, N., and Chandrasekaran, B.. ( 2010;), ‘ Music training for the development of auditory skills. ’, Nature Reviews Neuroscience, 11:8, pp. 599605.
    [Google Scholar]
  30. Lappe, C.,, Herholz, S. C.,, Trainor, L. J., and Pantev, C.. ( 2008;), ‘ Cortical plasticity induced by short-term unimodal and multimodal musical training. ’, Journal of Neuroscience, 28:39, pp. 963239.
    [Google Scholar]
  31. Lee, D. J.,, Chen, Y., and Schlaug, G.. ( 2003;), ‘ Corpus callosum: Musician and gender effects. ’, Neuroreport, 14:2, pp. 20509.
    [Google Scholar]
  32. Lorenz, K. Z.. ( 1937;), ‘ The companion in the bird’s world. ’, The Auk, 54:3, pp. 24573.
    [Google Scholar]
  33. Luo, C.,, Guo, Z. W.,, Lai, Y. X.,, Liao, W.,, Liu, Q.,, Kendrick, K. M., and Li, H.. ( 2012;), ‘ Musical training induces functional plasticity in perceptual and motor networks: Insights from resting-state FMRI. ’, PLoS One, 7:5, p. e36568.
    [Google Scholar]
  34. Margulis, E. H.,, Mlsna, L. M.,, Uppunda, A. K.,, Parrish, T. B., and Wong, P.. ( 2009;), ‘ Selective neurophysiologic responses to music in instrumentalists with different listening biographies. ’, Human Brain Mapping, 30:1, pp. 26775.
    [Google Scholar]
  35. McPherson, G.. (ed.) ( 2015), The Child as Musician: A Handbook of Musical Development, New York:: Oxford University Press;.
    [Google Scholar]
  36. Merrett, D. L.,, Peretz, I., and Wilson, S. J.. ( 2013;), ‘ Moderating variables of music training-induced neuroplasticity: A review and discussion. ’, Frontiers in Psychology, 4:606, n.pag.
    [Google Scholar]
  37. Moore, J. K., and Linthicum Jr, F. H.. ( 2007;), ‘ The human auditory system: A timeline of development. ’, International Journal of Audiology, 46:9, pp. 46078.
    [Google Scholar]
  38. Moreno, S.,, Marques, C.,, Santos, A.,, Santos, M.,, Castro, S. L., and Besson, M.. ( 2008;), ‘ Musical training influences linguistic abilities in 8-year-old children: More evidence for brain plasticity. ’, Cerebral Cortex, 19:3, pp. 71223.
    [Google Scholar]
  39. Pantev, C.,, Oostenveld, R.,, Engelien, A.,, Ross, B.,, Roberts, L. E., and Hoke, M.. ( 1998;), ‘ Increased auditory cortical representation in musicians. ’, Nature, 392:6678, pp. 81114.
    [Google Scholar]
  40. Pantev, C.,, Roberts, L. E.,, Schulz, M.,, Engelien, A., and Ross, B.. ( 2001;), ‘ Timbre-specific enhancement of auditory cortical representations in musicians. ’, Neuroreport, 12:1, pp. 16974.
    [Google Scholar]
  41. Penhune, V. B.. ( 2011;), ‘ Sensitive periods in human development: Evidence from musical training. ’, Cortex, 47:9, pp. 112637.
    [Google Scholar]
  42. Penhune, V., and de Villers-Sidani, E.. ( 2014;), ‘ Time for new thinking about sensitive periods. ’, Frontiers in Systems Neuroscience, 8:55, https://www.frontiersin.org/articles/10.3389/fnsys.2014.00055/full. Accessed 23 April 2019.
    [Google Scholar]
  43. Putkinen, V. J.,, Saarikivi, K. A., and Tervaniemi, M.. ( 2013;), ‘ Do informal musical activities shape auditory skill development in preschool-age children?. ’, Frontiers in Psychology, 4:572, https://www.frontiersin.org/articles/10.3389/fpsyg.2013.00572/full. Accessed 23 April 2019.
    [Google Scholar]
  44. Putkinen, V.,, Saarikivi, K.,, Ojala, P.,, Tervaniemi, M., and Huotilainen, M.. ( 2014;), ‘ Enhanced development of auditory change detection in musically trained school-aged children: A longitudinal event-related potential study. ’, Developmental Science, 17:2, pp. 28297.
    [Google Scholar]
  45. Sawyer, K.. ( 2011;), ‘ The cognitive neuroscience of creativity: A critical review. ’, Creativity Research Journal, 23:2, pp. 13754.
    [Google Scholar]
  46. Scalf, P. E.,, Banich, M. T., and Erickson, A. B.. ( 2009;), ‘ Interhemispheric interaction expands attentional capacity in an auditory selective attention task. ’, Experimental Brain Research, 194:2, pp. 31722.
    [Google Scholar]
  47. Schlaug, G.,, Jancke, L.,, Huang, Y., and Steinmetz, H.. ( 1995;), ‘ In vivo evidence of structural brain asymmetry in musicians. ’, Science, 267:5198, pp. 699701.
    [Google Scholar]
  48. Schneider, P.,, Scherg, M.,, Dosch, H. G.,, Specht, H. J.,, Gutschalk, A., and Rupp, A.. ( 2002;), ‘ Morphology of Heschl’s gyrus reflects enhanced activation in the auditory cortex of musicians. ’, Nature Neuroscience, 5:7, pp. 68894.
    [Google Scholar]
  49. Shahin, A.,, Roberts, L. E., and Trainor, L. J.. ( 2004;), ‘ Enhancement of auditory cortical development by musical experience in children. ’, Neuroreport, 15:12, pp. 191721.
    [Google Scholar]
  50. Skoe, E., and Kraus, N.. ( 2012;), ‘ A little goes a long way: How the adult brain is shaped by musical training in childhood. ’, Journal of Neuroscience, 4:34, pp. 1150710.
    [Google Scholar]
  51. Spitzer, M.. ( 2006;), ‘ Brain research and learning over the life cycle. ’, in OECD (ed.), Schooling for Tomorrow: Personalizing Education, Organization for Economic Co-operation and Development (OECD);, pp. 4762.
    [Google Scholar]
  52. Steele, C. J.,, Bailey, J. A.,, Zatorre, R. J., and Penhune, V. B.. ( 2013;), ‘ Early musical training and white-matter plasticity in the corpus callosum: Evidence for a sensitive period. ’, The Journal of Neuroscience, 33:3, pp. 128290.
    [Google Scholar]
  53. Strait, D., and Kraus, N.. ( 2011;), ‘ Playing music for a smarter ear: Cognitive, perceptual and neurobiological evidence. ’, Music Perception, 29:2, pp. 13346.
    [Google Scholar]
  54. Strait, D. L.,, Chan, K.,, Ashley, R., and Kraus, N.. ( 2012;), ‘ Specialization among the specialized: Auditory brainstem function is tuned in to timbre. ’, Cortex, 48:3, pp. 36062.
    [Google Scholar]
  55. Tierney, A. T.,, Krizman, J., and Kraus, N.. ( 2015;), ‘ Music training alters the course of adolescent auditory development. ’, Proceedings of the National Academy of Sciences, 112:32, pp. 1006267.
    [Google Scholar]
  56. Toiviainen, P., and Krumhansl, C. L.. ( 2003;), ‘ Measuring and modeling real-time responses to music: The dynamics of tonality induction. ’, Perception-London, 32:6, pp. 74166.
    [Google Scholar]
  57. Wan, C. Y., and Schlaug, G.. ( 2010;), ‘ Music making as a tool for promoting brain plasticity across the life span. ’, The Neuroscientist, 16:5, pp. 56677.
    [Google Scholar]
  58. Watanabe, D.,, Savion-Lemieux, T., and Penhune, V. B.. ( 2007;), ‘ The effect of early musical training on adult motor performance: Evidence for a sensitive period in motor learning. ’, Experimental Brain Research, 176:2, pp. 33240.
    [Google Scholar]
  59. Westerhausen, R.,, Luders, E.,, Specht, K.,, Ofte, S. H.,, Toga, A. W.,, Thompson, P. M., and Hugdahl, K.. ( 2010;), ‘ Structural and functional reorganization of the corpus callosum between the age of 6 and 8 years. ’, Cerebral Cortex, 21:5, pp. 101217.
    [Google Scholar]
  60. White, E. J.,, Hutka, S. A.,, Williams, L. J., and Moreno, S.. ( 2013;), ‘ Learning, neural plasticity and sensitive periods: Implications for language acquisition, music training and transfer across the lifespan. ’, Frontiers in Systems Neuroscience, 7:90, https://www.frontiersin.org/articles/10.3389/fnsys.2013.00090/full. Accessed 23 April 2019.
    [Google Scholar]
  61. Zatorre, R. J.,, Chen, J. L., and Penhune, V. B.. ( 2007;), ‘ When the brain plays music: Auditory–motor interactions in music perception and production. ’, Nature Reviews Neuroscience, 8:7, pp. 54758.
    [Google Scholar]
  62. Cho, E.. ( 2019;), ‘ Sensitive periods for music training from a cognitive neuroscience perspective: A review of the literature with implications for teaching practice. ’, International Journal of Music in Early Childhood, 14:1, pp. 1733, doi: 10.1386/ijmec.14.1.17_1
    [Google Scholar]
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