Abstract
Neuroscientists have worked for over two decades to understand how the brain processes music, affects emotions, and changes brain development. Much of this research has been based on a model that compares the brain function of participants classified as musicians and nonmusicians. This body of knowledge reveals a large number of benefits from music education including improvements in memory, language acquisition, executive function, and brain plasticity. These findings offer the beginnings of an evidence-based argument in favor of music education for every child. Yet if the potential of this research is to be leveraged for this purpose, music educators need to know the type, period, and age range for music education that has been shown to affect positive, measurable, and enduring change in brain development. This article explores the criteria used to define musician and suggests ways these criteria could be used to advocate for specific developments in music education curricula.
|
Austin, J. R., Reinhardt, D. (1999). Philosophy and advocacy: An examination of preservice music teachers’ beliefs. Journal of Research in Music Education, 47(1), 18–30. Google Scholar | SAGE Journals | ISI | |
|
Campbell, D. (2001). The Mozart effect: Tapping the power of music to heal the body, strengthen the mind, and unlock the creative spirit. New York, NY: HarperCollins. Google Scholar | |
|
Dammann, G. (2009, August 27). Hearts and minds. Retrieved from http://www.newstatesman.com/music/2009/08/music-love-ensemble Google Scholar | |
|
Degé, F., Wehrum, S., Stark, R., Schwarzer, G. (2011). The influence of two years of school music training in secondary school on visual and auditory memory. European Journal of Developmental Psychology, 8, 608–623. Google Scholar | Crossref | ISI | |
|
Dewey, J. (1910). How we think. Boston, MA: D. C. Heath. Google Scholar | Crossref | |
|
Dunbar, K. N. (2008). Arts education, the brain, and language. In Gazzaniga, M. (Ed.), Learning, arts, and the brain: The Dana Consortium Report on Arts and Cognition (pp. 81–104). New York, NY: Dana Consortium. Google Scholar | |
|
Eisner, E. W. (2002). The arts and the creation of mind. New Haven, CT: Yale University Press. Google Scholar | |
|
Geake, J. (2009). Brain at school: Educational neuroscience in the classroom. New York, NY: McGraw-Hill Education. Google Scholar | |
|
Gibson, C., Folley, B. S., Park, S. (2009). Enhanced divergent thinking and creativity in musicians: A behavioral and near-infrared spectroscopy study. Brain and Cognition, 69, 162–169. Google Scholar | Crossref | Medline | ISI | |
|
Gruhn, W. (2004, July 11–16). Neurodidactics: A new scientific trend in music education? In Giráldez, A. (Ed.), Sound worlds to discover proceedings [ISME 2004, 26th International Society for Music Education World Conference, 11–16 July, Tenerife, Spain] (pp. 195–200). Madrid, Spain: Enclave Creativa Ediciones. Google Scholar | |
|
Hanna-Pladdy, B., MacKay, A. (2011). The relation between instrumental musical activity and cognitive aging. Neuropsychology, 25, 378–386. Google Scholar | Crossref | Medline | ISI | |
|
Hannon, E. E., Trainor, L. J. (2007). Music acquisition: Effects of enculturation and formal training on development. Trends in Cognitive Sciences, 11, 465–472. Google Scholar | Crossref | ISI | |
|
Haslinger, B., Erhard, P., Altenmuller, E., Schroeder, U., Boecker, H., Ceballos-Baumann, A. O. (2005). Transmodal sensorimotor networks during action observation in professional pianists. Journal of Cognitive Neuroscience, 17, 282–293. Google Scholar | Crossref | Medline | ISI | |
|
Hyde, K., Lerch, J., Norton, A., Forgeard, M., Winner, E., Evans, A. C., Schlaug, G. (2009). Musical training shapes structural brain development. Journal of Neuroscience, 29, 3019–3025. Google Scholar | Crossref | Medline | ISI | |
|
Jonides, J. (2008). Musical skill and cognition. In Gazzaniga, M. (Ed.), Learning, arts, and the brain: The Dana Consortium Report on Arts and Cognition (pp. 11–17). New York, NY: Dana Consortium. Google Scholar | |
|
Koelsch, S. (2011). Toward a neural basis of music perception: A review and update model. Frontiers in Psychology, 2, 1–20. Google Scholar | Crossref | Medline | ISI | |
|
Koelsch, S., Siebel, W. A. (2005). Towards a neural basis of music perception. Trends in Cognitive Sciences, 9, 578–584. Google Scholar | Crossref | Medline | ISI | |
|
Leonhard, C., House, R. W. (1959). Foundations and principles of music education. New York, NY: McGraw-Hill. Google Scholar | |
|
Meyer, L. B. (1956). Emotion and meaning in music. Chicago, IL: University of Chicago Press. Google Scholar | |
|
Molnar-Szakacs, I., Overy, K. (2006). Music and mirror neurons: from motion to ‘e’motion. Social Cognitive & Affective Neuroscience, 1, 235–241. Google Scholar | Crossref | Medline | ISI | |
|
Moser, S. R. (2005). Beyond the Mozart effect: Age-related cognitive functioning in instrumental music participants. In Lammers, M. (Ed.), Bulletin of the council for research in music education (Vol. 163, pp. 89–91). doi:10.1525/mp.2009.26.5.489 Google Scholar | Crossref | |
|
Munte, T. F., Altenmuller, E., Jancke, L. (2002). The musician’s brain as a model of neuroplasticity. Nature Reviews Neuroscience, 3, 473–478. Google Scholar | Crossref | Medline | ISI | |
|
NAfME . (2011, August 1). National Association for Music Education strategic plan. Retrieved from http://musiced.nafme.org/files/2012/04/2011stratplanfinal.pdf Google Scholar | |
|
Oldfield, R. C. (1971). The assessment and analysis of handedness: The Edinburgh inventory. Neuropsychologia, 9(1), 97–113. Google Scholar | Crossref | Medline | ISI | |
|
Overy, K., Molnar-Szakacs, I. (2009). Being together in time: Musical experience and the mirror neuron system. Music Perception, 26, 489–504. Google Scholar | Crossref | ISI | |
|
Patel, A. D. (2008). Science & music: Talk of the tone. Nature, 453, 726–727. doi:10.1038/453726a Google Scholar | Crossref | Medline | ISI | |
|
Patel, A. D. (2009). Music and the brain: Three links to language. In Hallam, S., Cross, I., Thaut, M. (Eds.), The Oxford handbook of music psychology (pp. 208–216). Oxford, England: Oxford University Press. Google Scholar | |
|
Peretz, I., Gosselin, N., Belin, P., Zartorre, R., Plailly, J., Tillmann, B. (2009). Music lexical networks: The cortical organization of music recognition. Annals of the New York Academy of Sciences, 1169, 256–265. Google Scholar | Crossref | Medline | ISI | |
|
Posner, M., Rothbart, M. K., Sheese, B. E., Kieras, J. (2008). How arts training influences cognition. In Gazzaniga, M. (Ed.), Learning, arts, and the brain: The Dana Consortium Report on Arts and Cognition (pp. 1–10). New York, NY: Dana Consortium. Google Scholar | |
|
Rauscher, F., Shaw, G., Ky, K. (1993). Music and spatial task performance. Nature, 365, 611. Google Scholar | Crossref | Medline | ISI | |
|
Reimer, B. (1993). Justifying music education: Variations on a theme. Music Educators Journal, 80(3), 10–15. Google Scholar | SAGE Journals | |
|
Sacks, O. (2007). Musicophilia: Tales of music and the brain. New York, NY: Alfred. A. Knopf. Google Scholar | |
|
Schlaug, G. (2001). The brain of musicians: A model for functional and structural adaptation. Annals New York Academy of Sciences, 930, 281–299. Google Scholar | Crossref | Medline | ISI | |
|
Sloboda, J. A. (1991). Music structure and emotional response: Some empirical findings. Psychology of Music, 19, 110–120. Google Scholar | SAGE Journals | |
|
Swanwick, K. (1979). A basis for music education. London, England: NFER. Google Scholar | Crossref | |
|
Wandell, B., Dougherty, R. F., Ben-Shachar, M., Deutsch, M. K., Tsang, K. (2009). Training in the arts, reading, and brain imaging. In Gazzaniga, M. (Ed.), Learning, arts, and the brain: The Dana Consortium Report on Arts and Cognition (pp. 51–61). New York, NY: Dana Consortium. Google Scholar | |
|
Zatorre, R. J. (2005). Music, the food of neuroscience? Nature, 434, 312–315. Google Scholar | Crossref | Medline | ISI | |
|
Zatorre, R. J., Chen, J. L., Penhune, V. B. (2007). When the brain plays music: Auditory–motor interactions in music perception and production. Nature Reviews Neuroscience, 8, 547–558. Google Scholar | Crossref | Medline | ISI |

