The effects of music training in relation to brain plasticity have caused excitement, evident from the popularity of books on this topic among scientists and the general public. Neuroscience research has shown that music training leads to changes throughout the auditory system that prime musicians for listening challenges beyond music processing. This effect of music training suggests that, akin to physical exercise and its impact on body fitness, music is a resource that tones the brain for auditory fitness. Therefore, the role of music in shaping individual development deserves consideration.
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Zatorre, R. J., Chen, J. L. & Penhune, V. B. When the brain plays music: auditory–motor interactions in music perception and production. Nature Rev. Neurosci. 8, 547–558 (2007).
Kraus, N., Skoe, E., Parbery-Clark, A. & Ashley, R. Experience-induced malleability in neural encoding of pitch, timbre, and timing. Ann. NY Acad. Sci. 1169, 543–557 (2009).
Habib, M. & Besson, M. What do music training and musical experience teach us about brain plasticity? Music Percept. 26, 279–285 (2009).
Zatorre, R. & McGill, J. Music, the food of neuroscience? Nature 434, 312–315 (2005).
Peretz, I. & Zatorre, R. J. Brain organization for music processing. Annu. Rev. Psychol. 56, 89–114 (2005).
Hannon, E. E. & Trainor, L. J. Music acquisition: effects of enculturation and formal training on development. Trends Cogn. Sci. 11, 466–472 (2007).
Pantev, C. et al. Increased auditory cortical representation in musicians. Nature 392, 811–814 (1998).
Gaser, C. & Schlaug, G. Brain structures differ between musicians and non-musicians. J. Neurosci. 23, 9240–9245 (2003).
Schneider, P. et al. Morphology of Heschl's gyrus reflects enhanced activation in the auditory cortexof musicians. Nature Neurosci. 5, 688–694 (2002).
Fujioka, T., Trainor, L. J., Ross, B., Kakigi, R. & Pantev, C. Musical training enhances automatic encoding of melodic contour and interval structure. J. Cogn. Neurosci. 16, 1010–1021 (2004).
Lee, K. M., Skoe, E., Kraus, N. & Ashley, R. Selective subcortical enhancement of musical intervals in musicians. J. Neurosci. 29, 5832–5840 (2009).
Hyde, K. L. et al. Musical training shapes structural brain development. J. Neurosci. 29, 3019–3025 (2009).
Moreno, S. et al. Musical training influences linguistic abilities in 8-year-old children: more evidence for brain plasticity. Cereb. Cortex 19, 712–723 (2009).
Münte, T. F., Altenmüller, E. & Jäncke, L. The musician's brain as a model of neuroplasticity. Nature Rev. Neurosci. 3, 473–478 (2002).
Forgeard, M., Winner, E., Norton, A. & Schlaug, G. Practicing a musical instrument in childhood is associated with enhanced verbal ability and nonverbal reasoning. PLoS ONE 3, e3566 (2008).
Magne, C., Schon, D. & Besson, M. Musician children detect pitch violations in both music and language better than nonmusician children: behavioral and electrophysiological approaches. J. Cogn. Neurosci. 18, 199–211 (2006).
Parbery-Clark, A., Skoe, E. & Kraus, N. Musical experience limits the degradative effects of background noise on the neural processing of sound. J. Neurosci. 29, 14100–14107 (2009).
Wong, P. C., Skoe, E., Russo, N. M., Dees, T. & Kraus, N. Musical experience shapes human brainstem encoding of linguistic pitch patterns. Nature Neurosci. 10, 420–422 (2007).
Patel, A. D. Language, music, syntax and the brain. Nature Neurosci. 6, 674–681 (2003).
Tzounopoulos, T. & Kraus, N. Learning to encode timing: mechanisms of plasticity in the auditory brainstem. Neuron 62, 463–469 (2009).
Besson, M., Schon, D., Moreno, S., Santos, A. & Magne, C. Influence of musical expertise and musical training on pitch processing in music and language. Restor. Neurol. Neurosci. 25, 399–410 (2007).
Musacchia, G., Sams, M., Skoe, E. & Kraus, N. Musicians have enhanced subcortical auditory and audiovisual processing of speech and music. Proc. Natl Acad. Sci. USA 104, 15894–15898 (2007).
Belin, P. Voice processing in human and non-human primates. Phil. Trans. R. Soc. Lond. B 361, 2091–2107 (2006).
Chandrasekaran, B. & Kraus, N. The scalp-recorded brainstem response to speech: neural origins and plasticity. Psychophysiology 47, 236–246 (2010).
Wong, P. C. M. & Perrachione, T. K. Learning pitch patterns in lexical identification by native English-speaking adults. Appl. Psycholinguist. 28, 565–585 (2007).
Song, J. H., Skoe, E., Wong, P. C. & Kraus, N. Plasticity in the adult human auditory brainstem following short-term linguistic training. J. Cogn. Neurosci. 20, 1892–1902 (2008).
Krishnan, A., Xu, Y.S., Gandour, J. & Cariani, P. Encoding of pitch in the human brainstem is sensitive to language experience. Cogn. Brain Res. 25, 161–168 (2005).
Skoe, E. & Kraus, N. Auditory brain stem response to complex sounds: a tutorial. Ear Hear. 31, 302–324.
Galbraith, G. C., Arbagey, P. W., Branski, R., Comerci, N. & Rector, P. M. Intelligible speech encoded in the human brain stem frequency-following response. Neuroreport 6, 2363–2367 (1995).
Suga, N. Role of corticofugal feedback in hearing. J. Comp. Physiol. A, Neuroethol. Sens. Neural. Behav. Physiol. 194, 169–183 (2008).
Suga, N. & Ma, X. Multiparametric corticofugal modulation and plasticity in the auditory system. Nature Rev. Neurosci. 4, 783–794 (2003).
Strait, D. L., 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. 29, 661–668 (2009).
Bidelman, G. M., Gandour, J. T. & Krishnan, A. Cross-domain effects of music and language experience on the representation of pitch in the human auditory brainstem. J. Cogn. Neurosci. 19 Nov 2009 (doi:10.1162/jocn.2009.21362).
Chartrand, J. P. & Belin, P. Superior voice timbre processing in musicians. Neurosci. Lett. 405, 164–167 (2006).
Schellenberg, E. G. Music lessons enhance IQ. Psychol. Sci. 15, 511–514 (2004).
Schellenberg, E. G. in The Child as Musician: A Handbook of Musical Development (ed. McPherson, G. E. E.) 111–134 (Oxford Univ. Press, Oxford, UK, 2006).
Schellenberg, E. G. & Peretz, I. Music, language and cognition: unresolved issues. Trends Cogn. Sci. 12, 45–46 (2008).
Strait, D., Kraus, N., Parbery-Clark, A. & Ashley, R. Musical experience shapes top-down auditory mechanisms: evidence from masking and auditory attention performance. Hear. Res. 261, 22–29 (2010).
Strait, D. L., Kraus, N., Skoe, E. & Ashley, R. Musical experience promotes subcortical efficiency in processing emotional vocal sounds. Ann. NY Acad. Sci. 1169, 209–213 (2009).
Fujioka, T., Trainor, L. J., Ross, B., Kakigi, R. & Pantev, C. Automatic encoding of polyphonic melodies in musicians and nonmusicians. J. Cogn. Neurosci. 17, 1578–1592 (2005).
Chan, A. S., Ho, Y. C. & Cheung, M. C. Music training improves verbal memory. Nature 396, 128 (1998).
Nager, W., Kohlmetz, C., Altenmüller, E., Rodriguez-Fornells, A. & Münte, T. F. The fate of sounds in conductors' brains: an ERP study. Brain Res. Cogn. Brain Res. 17, 83–93 (2003).
Seppänen, M., Brattico, E. & Tervaniemi, M. Practice strategies of musicians modulate neural processing and the learning of sound-patterns. Neurobiol. Learn. Mem. 87, 236–247 (2007).
Winkler, I., Denham, S. L. & Nelken, I. Modeling the auditory scene: predictive regularity representations and perceptual objects. Trends Cogn. Sci. 13, 532–540 (2009).
Saffran, J. R., Aslin, R. N. & Newport, E. L. Statistical learning by 8-month-old infants. Science 274, 1926–1928 (1996).
Luo, F., Wang, Q., Kashani, A. & Yan, J. Corticofugal modulation of initial sound processing in the brain. J. Neurosci. 28, 11615–11621 (2008).
Trainor, L. J. & Zatorre, R. in Oxford Handbook of Music Psychology (eds Hallen, S., Cross, I. & Thaut, M.) 171–182 (Oxford Univ. Press, Oxford, UK, 2009).
Suga, N., Xiao, Z., Ma, X. & Ji, W. Plasticity and corticofugal modulation for hearing in adult animals. Neuron 36, 9–18 (2002).
Koelsch, S., Schroger, E. & Tervaniemi, M. Superior pre-attentive auditory processing in musicians. Neuroreport 10, 1309–1313 (1999).
van Zuijen, T. L., Sussman, E., Winkler, I., Naatanen, R. & Tervaniemi, M. Auditory organization of sound sequences by a temporal or numerical regularity — a mismatch negativity study comparing musicians and non-musicians. Brain Res. Cogn. Brain Res. 23, 270–276 (2005).
Brashears, S. M., Morlet, T. G., Berlin, C. I. & Hood, L. J. Olivocochlear efferent suppression in classical musicians. J. Am. Acad. Audiol. 14, 314–324 (2003).
Perrot, X., Micheyl, C. & Khalfa, S. Stronger bilateral efferent influences on cochlear biomechanical activity in musicians than in non-musicians. Neurosci. Lett. 262, 167–170 (1999).
Fitch, W. T. The biology and evolution of music: a comparative perspective. Cognition 100, 173–215 (2006).
Patel, A. D. in Emerging Disciplines (ed. Bailar, M.) 91–144 (Rice Univ. Press, Houston, 2010).
Pinker, S. How the Mind Works (Allen Lane, London, 1997).
Chandrasekaran, B., Hornickel, J. M., Skoe, E., Nicol, T. & Kraus, N. Context-dependent encoding in the human auditory brainstem relates to hearing speech in noise: implications for developmental dyslexia. Neuron 64, 311–319 (2009).
Wong, P. C., Perrachione, T. K. & Parrish, T. B. Neural characteristics of successful and less successful speech and word learning in adults. Hum. Brain Mapp. 28, 995–1006 (2007).
Wong, P. C. et al. Volume of left Heschl's Gyrus and linguistic pitch learning. Cereb. Cortex 18, 828–836 (2008).
Overy, K. From timing deficits to musical intervention. Ann. NY Acad. Sci. 999, 497–505 (2003).
Tallal, P. & Gaab, N. Dynamic auditory processing, musical experience and language development. Trends Cogn. Sci. 29, 382–390 (2006).
Tallal, P. Auditory temporal perception, phonics, and reading disabilities in children. Brain Lang. 9, 182–198 (1980).
Chandrasekaran, B. & Kraus, N. Music, noise-exclusion, and learning. Music Percept. 27, 297–306 (2010).
Hornickel, J., Skoe, E., Nicol, T., Zecker, S. & Kraus, N. Subcortical differentiation of stop consonants relates to reading and speech-in-noise perception. Proc. Natl Acad. Sci. USA 106, 13022–13027 (2009).
Parbery-Clark, A., Skoe, E., Lam, C. & Kraus, N. Musician enhancement for speech-in-noise. Ear Hear. 30, 653–661 (2009).
Musacchia, G., Strait, D. & Kraus, N. Relationships between behavior, brainstem and cortical encoding of seen and heard speech in musicians and non-musicians. Hear. Res. 241, 34–42 (2008).
Trainor, L. J. Are there critical periods for musical development? Dev. Psychobiol. 46, 262–278 (2005).
Watanabe, D., Savion-Lemieux, T. & Penhune, V. The effect of early musical training on adult motor performance: evidence for a sensitive period in motor learning. Exp. Brain Res. 176, 332–340 (2007).
Kratus, J. Music education at the tipping point. Music Educ. J. 94, 42 (2007).
Kinney, D. W. Selected demographic variables, school music participation, and achievement test scores of urban middle school students. J. Res. Music Educ. 56, 145–161 (2008).
Shield, B. M. & Dockrell, J. E. The effects of environmental and classroom noise on the academic attainments of primary school children. J. Acoust. Soc. Am. 123, 133–144 (2008).
Sperling, A. J., Lu, Z. L., Manis, F. R. & Seidenberg, M. S. Deficits in perceptual noise exclusion in developmental dyslexia. Nature Neurosci. 8, 862–863 (2005).
Ziegler, J. C., Pech-Georgel, C., George, F., Alario, F. X. & Lorenzi, C. Deficits in speech perception predict language learning impairment. Proc. Natl Acad. Sci. USA 102, 14110–14115 (2005).
Ziegler, J. C., Pech-Georgel, C., George, F. & Lorenzi, C. Speech-perception-in-noise deficits in dyslexia. Dev. Sci. 12, 732–745 (2009).
Banai, K. et al. Reading and subcortical auditory function. Cereb. Cortex 19, 2699–2707 (2009).
Meltzoff, A. N., Kuhl, P. K., Movellan, J. & Sejnowski, T. J. Foundations for a new science of learning. Science 325, 284–288 (2009).
Shahin, A. J., Roberts, L. E., Chau, W., Trainor, L. J. & Miller, L. M. Music training leads to the development of timbre-specific gamma band activity. Neuroimage 41, 113–122 (2008).
Tervaniemi, M. Musicians — same or different? Ann. NY Acad. Sci. 1169, 151–156 (2009).
This work is supported by the US National Science Foundation (grants SBE-0842376 and BCS-092275). We thank J. Song for her contribution towards the artwork and T. Nicol, D. Strait and K. Chan for their helpful comments on the manuscript.
The authors declare no competing financial interests.
- Auditory stream segregation
The ability to piece together discrete perceptual events into streams.
- Contour and interval information
Aspects of melodic information in music that are related to contour (upward or downward patterns of pitch changes) and interval (pitch distances between successive notes).
- Frequency-following response
A neuronal ensemble response that phase-locks to the incoming stimulus.
- Fundamental frequency
The lowest frequency of a voice, determined by the rate of vibration of the vocal folds. It generally corresponds to the voice's pitch.
- Harmonic components in speech
Aspects of speech that depend on the rate of vibration of the vocal cords. A voice is composed of a fundamental tone and a series of higher frequencies that are called harmonics.
- Magnetic source imaging
The detection of the changing magnetic fields that are associated with brain activity, and their subsequent overlaying onto magnetic resonance images to identify the precise source of the signal.
- Mismatch negativity
A cortical event-related potential, measured using electroencephalography, that is elicited when a sequence of repeated stimuli (standards) is interrupted by an infrequent stimulus that deviates in sensory characteristics, such as intensity, frequency or duration.
- Onset response
A neuronal ensemble response to the onset of sound.
- Oto-acoustic emissions
Sounds that are generated in the inner ear, which can be recorded non-invasively. They serve as acoustic signatures of the cochlear biomechanical activity.
- Pitch contours
Pitch changes that minimally contrast words in a tone language, such as Mandarin Chinese.
- Time-varying components in speech
Dynamically changing acoustic events (for example, formant transitions) that correspond to articulatory changes during speech production.
- Voice tagging
The ability to use voice pitch as a cue to 'tag' a familiar talker amid fluctuating background noise.
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Kraus, N., Chandrasekaran, B. Music training for the development of auditory skills. Nat Rev Neurosci 11, 599–605 (2010). https://doi.org/10.1038/nrn2882
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