Key Points
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Music performance is a natural and ubiquitous human skill that requires specific and unique types of control over motor systems and perception. Current knowledge about sensory–motor interactions is highly relevant, but may not be sufficient to explain the unique demands placed on these systems by musical execution.
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Motor control systems relevant for music involve timing, sequencing and spatial organization. The premotor and supplementary motor cortices, cerebellum, and the basal ganglia are all implicated in these motor processes, but their precise contribution varies according to the demands of the task.
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Auditory processing pathways include dorsal and ventral streams, with the dorsal stream, which projects to parietal and premotor cortices, being particularly relevant for auditory-guided actions.
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Motor and auditory systems interact in terms of feedforward and feedback relationships. These interactions may be related to `hearing-doing' systems, analogous to the mirror-neuron system.
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Neuroimaging studies show that auditory and motor systems in the brain are often co-activated during music perception and performance: listening alone engages the motor system, whereas performing without feedback engages auditory systems.
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Ventral premotor regions are active when there is direct sensorimotor mapping (for example key press associated with a sound); dorsal premotor regions are active in relation to more abstract mappings (for example metrical organization of a rhythm).
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Neural circuitry mediating these sensory–motor interactions may contribute to music cognition by helping to create predictions and expectancies which music relies on for its intellectual and emotional appeal.
Abstract
Music performance is both a natural human activity, present in all societies, and one of the most complex and demanding cognitive challenges that the human mind can undertake. Unlike most other sensory–motor activities, music performance requires precise timing of several hierarchically organized actions, as well as precise control over pitch interval production, implemented through diverse effectors according to the instrument involved. We review the cognitive neuroscience literature of both motor and auditory domains, highlighting the value of studying interactions between these systems in a musical context, and propose some ideas concerning the role of the premotor cortex in integration of higher order features of music with appropriately timed and organized actions.
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References
Buhusi, C. V. & Meck, W. H. What makes us tick? Functional and neural mechanisms of interval timing. Nature Rev. Neurosci. 6, 755–765 (2005).
Ivry, R. B. & Spencer, R. M. The neural representation of time. Curr. Opin. Neurobiol. 14, 225–232 (2004). This review integrates data from patient and neuroimaging studies of motor and perceptual timing, and presents a model for the contributions of the cerebellum and basal ganglia to timing functions.
Spencer, R. M., Zelaznik, H. N., Diedrichson, J. & Ivry, R. B. Disrupted timing of discontinuous but not continuous movements by cerebellar lesions. Science 300, 1437–1439 (2003).
Wing, A. M. Voluntary timing and brain function: an information processing approach. Brain Cogn 48, 7–30 (2002).
Mauk, M. D. & Buonomano, D. V. The neural basis of temporal processing. Annu. Rev. Neurosci. 27, 307–340 (2004).
Penhune, V. B., Zatorre, R. J. & Evans, A. C. Cerebellar contributions to motor timing: a PET study of auditory and visual rhythm reproduction. J. Cogn. Neurosci. 10, 752–765 (1998).
Lewis, P. A. & Miall, R. C. Distinct systems for automatic and cognitively controlled time measurement: evidence from neuroimaging. Curr. Opin. Neurobiol. 13, 250–255 (2003).
Ivry, R. B., Spencer, R. M., Zelaznik, H. N. & Diedrichsen, J. The cerebellum and event timing. Ann. N. Y. Acad. Sci. 978, 302–317 (2003).
Ramnani, N. & Passingham, R. E. Changes in the human brain during rhythm learning. J. Cogn. Neurosci. 13, 952–966 (2001).
Sakai, K., Ramnani, N. & Passingham, R. E. Learning of sequences of finger movements and timing: frontal lobe and action-oriented respresentation. J. Neurophysiol. 88, 2035–2046 (2002).
Harrington, D. L., Lee, R. R., Boyd, L. A., Rapcsak, S. Z. & Knight, R. T. Does the representation of time depend on the cerebellum? Effect of cerebellar stroke. Brain 127, 561–574 (2004).
Bastien, A. J. Learning to predict the future: the cerebellum adapts feedforward movement control. Curr. Opin. Neurobiol. 16, 645–649 (2006).
Ohyama, T., Nores, W. L., Murphy, M. & Mauk, M. D. What the cerebellum computes. Trends Neurosci. 26, 222–227 (2003).
Shimansky, Y., Wang, J. J., Bauer, R. A., Bracha, V. & Bloedel, J. R. On-line compensation for perturbations of a reaching movement is cerebellar dependent: support for the task dependency hypothesis. Exp. Brain Res. 155, 156–172 (2004).
Balasubramanian, R., Wing, A. M. & Daffertshofer, A. Keeping with the beat: movement trajectories contribute to movement timing. Exp. Brain Res. 159, 129–134 (2004).
Loehr, J. D. & Palmer, C. Cognitive and biomechanical influences in pianists' finger tapping. Exp. Brain Res. 178, 518–528 (2006).
Bower, J. M. The cerebellum as a sensory acquisition controller. Hum. Brain Mapp. 2, 255–256 (1995).
Petacchi, A., Laird, A. R., Fox, P. T. & Bower, J. M. Cerebellum and auditory function: an ALE meta-analysis of functional neuroimaging studies. Hum. Brain Mapp. 25, 118–128 (2005).
Harrington, D. L. & Haaland, K. Y. Neural underpinnings of temporal processing: a review of focal lesion, pharmacological, and functional imaging research. Rev. Neurosci. 10, 91–116 (1999).
Rao, S. M. et al. Distributed neural systems underlying the timing of movements. J. Neurosci. 17, 5528–5535 (1997).
Rao, S. M., Mayer, A. R. & Harrington, D. L. The evolution of brain activation during temporal processing. Nature Neurosci. 4, 317–323 (2001).
Pope, P., Wing, A. M., Praamstra, P. & Miall, R. C. Force related activations in rhythmic sequence production. NeuroImage 27, 909–918 (2005).
Bengtsson, S. L., Ehrsson, H. H., Forssberg, H. & Ullén, F. Dissociating brain regions controlling the temporal and ordinal structure of learned movement sequences. Eur. J. Neurosci. 19, 2591–2602 (2004).
Lewis, P. A., Wing, A. M., Pope, P. A., Praamstra, P. & Miall, R. C. Brain activity correlates differentially with increasing temporal complexity of rhythms during initialisation, and continuation phases of paced finger tapping. Neuropsychologia 42, 1301–1312 (2004).
Chen, J. L., Penhune, V. B. & Zatorre, R. J. Moving in time: brain networks for auditory-motor synchronization are modulated by rhythm complexity and musical training. J. Cogn. Neurosci. (in the press).
Graybiel, A. M. The basal ganglia: learning new tricks and loving it. Curr. Opin. Neurobiol. 15, 638–644 (2005).
Doyon, J., Penhune, V. B. & Ungerleider, L. G. Distinct contribution of the cortico-striatal and cortico-cerebellar systems to motor skill learning. Neuropsychologia 41, 252–262 (2003).
Penhune, V. B. & Doyon, J. Cerebellum and M1 interaction during early learning of timed motor sequences. NeuroImage 26, 801–812 (2005).
Hikosaka, O., Nakamura, H., Sakai, K. & Nakahara, H. Central mechanisms of motor skill learning. Curr. Opin. Neurobiol. 12, 217–222 (2002).
Thach, W. T. A role for the cerebellum in learning movement coordination. Neurobiol. Learn. Mem. 70, 177–188 (1998).
Garraux, G. et al. Shared brain areas but not functional connections in controlling movement timing and order. J. Neurosci. 25, 5290–5297 (2005).
Sakai, K., Hikosaka, O. & Nakamura, H. Emergence of rhythm during motor learning. Trends Cogn. Sci. 8, 547–553 (2004). This review nicely ties together the behavioural and neuroimaging data on motor sequence chunking, and posits the role of the preSMA and cerebellum during rhythm and motor skill acquisition.
Kennerley, S. W., Sakai, K. & Rushworth, M. F. Organization of action sequences and the role of the pre-SMA. J. Neurophysiol. 91, 978–993 (2004).
Janata, P. & Grafton, S. T. Swinging in the brain: shared neural substrates for behaviors related to sequencing and music. Nature Neurosci. 6, 682–687 (2003).
Schubotz, R. I. & von Cramon, D. Y. Functional-anatomical concepts of human premotor cortex: evidence from fMRI and PET studies. NeuroImage 20, Suppl. 1, S120–S131 (2003).
Johnson, P. B., Ferraina, S., Bianchi, L. & Caminiti, R. Cortical networks for visual reaching: physiological and anatomical organization of frontal and parietal lobe arm regions. Cereb. Cortex 6, 102–119 (1996).
Rizzolatti, G., Luppino, G. & Matelli, M. The organization of the cortical motor system: new concepts. Electroencephalogr. Clin. Neurophysiol. 106, 283–296 (1998).
Parsons, M. W., Harrington, D. L. & Rao, S. M. Distinct neural systems underlie learning of visuomotor and spatial representations of motor skills. Hum. Brain Mapp. 24, 229–247 (2005).
Chen, J., Woollacott, M. & Pologe, S. Accuracy and underlying mechanisms of shifting movements in cellists. Exp. Brain Res. 174, 467–476 (2006).
Rauschecker, J. P. & Tian, B. Mechanisms and streams for processing of 'what' and 'where' in auditory cortex. Proc. Natl Acad. Sci. USA 97, 11800–11806 (2000).
Kaas, J. H., Hackett, T. A. & Tramo, M. J. Auditory processing in primate cerebral cortex. Curr. Opin. Neurbiol. 9, 164–170. (1999).
Binder, J. R. et al. Human temporal lobe activation by speech and nonspeech sounds. Cereb. Cortex 10, 512–528. (2000).
Warren, J. E., Wise, R. J. & Warren, J. D. Sounds do-able: auditory-motor transformations and the posterior temporal plane. Trends Neurosci. 28, 636–643 (2005). An important review paper that incorporates speech and non-speech literature to propose that the dorsal auditory pathway is involved in general transformations of acoustic information into motor representations.
Milner, A. D. & Goodale, M. A. The Visual Brain in Action (Oxford University Press, New York, 1995).
Belin, P. & Zatorre, R. J. 'What', 'where', and 'how' in auditory cortex. Nature Neurosci. 3, 965–966 (2000).
Warren, J. D., Jennings, A. R. & Griffiths, T. D. Analysis of the spectral envelope of sounds by the human brain. NeuroImage 24, 1052–1057 (2005).
Zatorre, R. J., Bouffard, M. & Belin, P. Sensitivity to auditory object features in human temporal neocortex. J. Neurosci. 24, 3637–3642 (2004).
Zatorre, R. J. & Belin, P. in Plasticity of the Central Auditory System and Processing of Complex Acoustic Signals (eds Syka, J. & Merzenich, M.) 241–254 (Plenum, London, 2005).
Bendor, D. & Wang, X. The neuronal representation of pitch in primate auditory cortex. Nature 436, 1161–1165 (2005).
Zatorre, R. J. Pitch perception of complex tones and human temporal-lobe function. J. Acoust. Soc. Am. 84, 566–572 (1988).
Johnsrude, I. S., Penhune, V. B. & Zatorre, R. J. Functional specificity in the right human auditory cortex for perceiving pitch direction. Brain 123, 155–163 (2000).
Penagos, H., Melcher, J. R. & Oxenham, A. J. A neural representation of pitch salience in nonprimary human auditory cortex revealed with functional magnetic resonance imaging. J. Neurosci. 24, 6810–6815 (2004).
Patterson, R. D., Uppenkamp, S., Johnsrude, I. S. & Griffiths, T. D. The processing of temporal pitch and melody information in auditory cortex. Neuron 36, 767–776 (2002).
Zatorre, R. J., Belin, P. & Penhune, V. B. Structure and function of auditory cortex: music and speech. Trends Cogn. Sci. 6, 37–46 (2002).
Boemio, A., Fromm, S., Braun, A. & Poeppel, D. Hierarchical and asymmetric temporal sensitivity in human auditory cortices. Nature Neurosci. 8, 389–395 (2005).
Schönwiesner, M., Rubsamen, R. & von Cramon, D. Y. Hemispheric asymmetry for spectral and temporal processing in the human antero-lateral auditory belt cortex. Eur. J. Neurosci. 22, 1521–1528 (2005).
Scott, S. K. & Wise, R. J. The functional neuroanatomy of prelexical processing in speech perception. Cognition 92, 13–45 (2004).
Zatorre, R. J. & Gandour, J. T. Neural specializations for speech and pitch: moving beyond the dichotomies. Philos. Trans. R. Soc. Lond. B Biol. Sci. (in the press).
Serrien, D. J., Ivry, R. B. & Swinnen, S. P. Dynamics of hemispheric specialization and integration in the context of motor control. Nature Rev. Neurosci. 7, 160–166 (2006).
Koelsch, S. Neural substrates of processing syntax and semantics in music. Curr. Opin. Neurobiol. 15, 207–212 (2005).
Krumhansl, C. L. Rhythm and pitch in music cognition. Psychol. Bull. 126, 159–179 (2000).
Jones, M. R., Moynihan, H., MacKenzie, N. & Puente, J. Temporal aspects of stimulus-driven attending in dynamic arrays. Psychol. Sci. 13, 313–319 (2002).
Peretz, I. & Coltheart, M. Modularity of music processing. Nature Neurosci. 6, 688–691 (2003).
Peretz, I. Processing of local & global musical information by unilateral brain-damaged patients. Brain 113, 1185–1205 (1990).
Penhune, V. B., Zatorre, R. J. & Feindel, W. H. The role of auditory cortex in retention of rhythmic patterns in patients with temporal-lobe removals including Heschl's gyrus. Neuropsychologia 37, 315–331 (1999).
Kester, D. B. et al. Acute effect of anterior temporal lobectomy on musical processing. Neuropsychologia 29, 703–708 (1991).
Grahn, J. A. & Brett, M. Rhythm and beat perception in motor areas of the brain. J. Cogn. Neurosci. 19, 893–906 (2007).
Chen, J. L., Penhune, V. B. & Zatorre, R. J. in Society for Neuroscience Abst. 747.15 (Atlanta GA, 2006).
Sakai, K. et al. Neural representation of a rhythm depends on its interval ratio. J. Neurosci. 19, 10074–10081 (1999).
Patel, A. D., Iversen, J. R., Chen, Y. & Repp, B. H. The influence of metricality and modality on synchronization with a beat. Exp. Brain Res. 163, 226–238 (2005).
Repp, B. H. & Penel, A. Rhythmic movement is attracted more strongly to auditory than to visual rhythms. Psychol. Res. 68, 252–270 (2004).
Large, E. W. & Palmer, C. Perceiving temporal regularity in music. Cogn. Sci. 26, 1–37 (2002). This paper synthesizes the authors' empirical studies to develop both a theoretical framework and a mathematical model for the way listeners perceive temporal regularity in musical performance.
Thaut, M. H., McIntosh, G. C. & Rice, R. R. Rhythmic facilitation of gait training in hemiparetic stroke rehabilitation. J. Neurol. Sci. 151, 207–212 (1997).
McIntosh, G. C., Brown, S. H., Rice, R. R. & Thaut, M. H. Rhythmic auditory-motor facilitation of gait patterns in patients with Parkinson's disease. J. Neurol. Neurosurg. Psychiatr. 62, 22–26 (1997).
Repp, B. H. Effects of auditory feedback deprivation on expressive piano performance. Music Perception 16, 409–438 (1999).
Pfordresher, P. Q. & Palmer, C. Effects of hearing the past, present, or future during music performance. Percept. Psychophys. 68, 362–376 (2006).
Hickok, G. & Poeppel, D. Dorsal and ventral streams: a framework for understanding aspects of the functional anatomy of language. Cognition 92, 67–99 (2004). An important proposal for a dual-stream model of speech processing with emphasis on an area at the parietal–temporal junction important for sensory–motor transformations.
Scott, S. K. & Johnsrude, I. S. The neuroanatomical and functional organization of speech perception. Trends Neurosci. 26, 100–107 (2003).
Hickok, G., Buchsbaum, B., Humphries, C. & Muftuler, T. Auditory–motor interaction revealed by fMRI: speech, music, and working memory in area SPT. J. Cogn. Neurosci. 15, 673–682 (2003).
Griffiths, T. D. & Warren, J. D. The planum temporale as a computational hub. Trends Neurosci. 25, 348–353 (2002). A review paper that proposes a model of how the planum temporale is involved in the analysis of complex sounds, including language and music.
Patel, A. D. Musical rhythm, linguistic rhythm, and human evolution. Music Perception 24, 99–104 (2006).
Drake, C., Penel, A. & Bigand, E. Tapping in time with mechanically and expressively performed music. Music Perception 18, 1–23 (2000).
Large, E. W., Fink, P. & Kelso, J. A. Tracking simple and complex sequences. Psychol. Res. 66, 3–17 (2002).
Snyder, J. S. & Krumhansl, C. L. Tapping to ragtime: cues to pulse finding. Music Perception 18, 455–489 (2001).
Palmer, C. & Pfordresher, P. Q. Incremental planning in sequence production. Psychol. Rev. 110, 683–712 (2003).
Jackendoff, R. & Lerdahl, F. The capacity for music: what is it and what's special about it? Cognition 100, 33–72 (2006).
Rizzolatti, G., Fogassi, L. & Gallese, V. Neurophysiological mechanisms underlying the understanding and imitation of action. Nature Rev. Neurosci. 2, 661–670 (2001).
Kohler, E. et al. Hearing sounds, understanding actions: action representation in mirror neurons. Science 297, 846–848 (2002).
Keysers, C. et al. Audiovisual mirror neurons and action recognition. Exp. Brain Res. 153, 628–636 (2003).
Rizzolatti, G. & Arbib, M. A. Language within our grasp. Trends Neurosci. 21, 188–194 (1998).
Rizzolatti, G. & Buccino, G. in From monkey Brain to Human Brain (eds Dehaene, S., Duhamel, J. R., Hauser, M. D. & Rizzolatti, G.) 213–233 (MIT Press, Cambridge, Massachusetts, 2005).
Liberman, A. M. & Mattingly, I. G. The motor theory of speech perception revised. Cognition 21, 1–36 (1985).
Burton, M. W., Small, S. L. & Blumstein, S. E. The role of segmentation in phonological processing: an fMRI investigation. J. Cogn. Neurosci. 12, 679–690 (2000).
Zatorre, R. J., Evans, A. C., Meyer, E. & Gjedde, A. Lateralization of phonetic and pitch processing in speech perception. Science 256, 846–849 (1992).
Paus, T., Perry, D. W., Zatorre, R. J., Worsley, K. J. & Evans, A. C. Modulation of cerebral blood flow in the human auditory cortex during speech: role of motor-to-sensory discharges. Eur. J. Neurosci. 8, 2236–2246 (1996).
Watkins, K. E., Strafella, A. P. & Paus, T. Seeing and hearing speech excites the motor system involved in speech production. Neuropsychologia 41, 989–994 (2003).
Bangert, M. & Altenmuller, E. O. Mapping perception to action in piano practice: a longitudinal DC-EEG study. BMC Neurosci. 4, 26 (2003).
Lahav, A., Saltzman, E. & Schlaug, G. Action representation of sound: audiomotor recognition network while listening to newly acquired actions. J. Neurosci. 27, 308–314 (2007). fMRI study in which non-musicians were trained to play simple melodies. The specificity of a premotor cortical network involved in mapping sounds to actions is demonstrated.
Brown, S. & Martinez, M. J. Activation of premotor vocal areas during musical discrimination. Brain Cogn. 63, 59–69 (2007).
Koelsch, S., Fritz, T., von Cramon, D. Y., Müller, K. & Friederici, A. D. Investigating emotion with music: an fMRI study. Hum. Brain Mapp. 27, 239–250 (2006).
Chen, J. L., Zatorre, R. J. & Penhune, V. B. Interactions between auditory and dorsal premotor cortex during synchronization to musical rhythms. NeuroImage 32, 1771–1781 (2006). An fMRI study demonstrating the specific role of the dorsal premotor cortex in interfacing auditory information during rhythm synchronization.
Hund-Georgiadis, M. & von Cramon, D. Y. Motor-learning-related changes in piano players and non-musicians revealed by functional magnetic-resonance signals. Exp. Brain Res. 125, 417–425 (1999).
Jancke, L., Shah, N. J. & Peters, M. Cortical activations in primary and secondary motor areas for complex bimanual movements in professional pianists. Brain Res. Cogn. Brain Res. 10, 177–183 (2000).
Koeneke, S., Lutz, K., Wustenberg, T. & Jäncke, L. Long-term training affects cerebellar processing in skilled keyboard players. Neuroreport 15, 1279–1282 (2004).
Meister, I. G. et al. Playing piano in the mind—an fMRI study on music imagery and performance in pianists. Brain Res. Cogn. Brain Res. 19, 219–228 (2004).
Baumann, S., Koeneke, S., Meyer, M., Lutz, K. & Jancke, L. A network for sensory-motor integration: what happens in the auditory cortex during piano playing without acoustic feedback? Ann. N. Y. Acad. Sci. 1060, 186–188 (2005).
Bangert, M. et al. Shared networks for auditory and motor processing in professional pianists: evidence from fMRI conjunction. Neuroimage 30, 917–926 (2006).
Haueisen, J. & Knosche, T. R. Involuntary motor activity in pianists evoked by music perception. J. Cogn. Neurosci. 13, 786–792 (2001).
Haslinger, B. et al. Transmodal sensorimotor networks during action observation in professional pianists. J. Cogn. Neurosci. 17, 282–293 (2005).
D'Ausilio, A., Altenmuller, E., Olivetti Belardinelli, M. & Lotze, M. Cross-modal plasticity of the motor cortex while listening to a rehearsed musical piece. Eur. J. Neurosci. 24, 955–958 (2006). TMS study demonstrating differential changes in short- and long-term motor cortical excitability in musicians during music perception.
Rosenkranz, K., Williamon, A. & Rothwell, J. C. Motorcortical excitability and synaptic plasticity is enhanced in professional musicians. J. Neurosci. 27, 5200–5206 (2007).
Zatorre, R. J. & Halpern, A. R. Mental concerts: musical imagery and auditory cortex. Neuron 47, 9–12 (2005).
Langheim, F. J., Callicott, J. H., Mattay, V. S., Duyn, J. H. & Weinberger, D. R. Cortical systems associated with covert music rehearsal. NeuroImage 16, 901–908 (2002).
Kennerley, S. W., Sakai, K. & Rushworth, M. F. Organization of action sequences and the role of the pre-SMA. J. Neurophysiol. 91, 978–993 (2004).
Shima, K. & Tanji, J. Neuronal activity in the supplementary and presupplementary motor areas for temporal organization of multiple movements. J. Neurophysiol. 84, 2148–2160 (2000).
Jäncke, L., Loose, R., Lutz, K., Sprecht, K. & Shah, N. J Cortical activations during paced finger-tapping applying visual and auditory pacing stimuli. Brain Res. Cogn. Brain Res. 10, 51–66 (2000).
Mayville, J. M., Jantzen, K. J., Fuchs, A., Steinberg, F. L. & Kelso, J. A. Cortical and subcortical networks underlying syncopated and synchronized coordination revealed using fMRI. Functional magnetic resonance imaging. Hum. Brain Mapp. 17, 214–229 (2002).
Penhune, V. B. & Doyon, J. Dynamic cortical and subcortical networks in learning and delayed recall of timed motor sequences. J. Neurosci. 22, 1397–1406 (2002).
Thaut, M. H. Neural basis of rhythmic timing networks in the human brain. Ann. N. Y. Acad. Sci. 999, 364–373 (2003).
Nezafat, R., Shadmehr, R. & Holcomb, H. H. Long-term adaptation to dynamics of reaching movements: a PET study. Exp. Brain Res. 140, 66–76 (2001).
Bloedel, J. Functional heterogeneity with structural homogeneity: how does the cerebellum operate? Behav. Brain Sci. 15, 666–678 (1992).
Hoshi, E. & Tanji, J. Functional specialization in dorsal and ventral premotor areas. Prog. Brain Res. 143, 507–511 (2004).
Picard, N. & Strick, P. L. Imaging the premotor areas. Curr. Opin. Neurobiol. 11, 663–672 (2001). Review of the anatomical and functional organization of the medial and lateral premotor regions in humans and monkeys.
Rizzolatti, G. & Craighero, L. The mirror-neuron system. Annu. Rev. Neurosci. 27, 169–192 (2004). A review of the mirror neuron system and presentation of an idea for the evolution of echo mirror neurons.
Wise, S. P., di Pellegrino, G. & Boussaoud, D. The premotor cortex and nonstandard sensorimotor mapping. Can. J. Physiol. Pharmacol. 74, 469–482 (1996).
Hoshi, E. & Tanji, J. Differential involvement of neurons in the dorsal and ventral premotor cortex during processing of visual signals for action planning. J. Neurophysiol. 95, 3596–3616 (2006). The latest in a series of excellent electrophysiological studies on the premotor cortex in monkeys; presents a well-supported hypothesis for how the ventral and dorsal premotor cortex are involved in sensory–motor integration.
Kakei, S., Hoffman, D. S. & Strick, P. L. Direction of action is represented in the ventral premotor cortex. Nature Neurosci. 4, 1020–1025 (2001).
Murata, A. et al. Object representation in the ventral premotor cortex (area F5) of the monkey. J. Neurophysiol. 78, 2226–2230 (1997).
Rizzolatti, G., Fogassi, L. & Gallese, V. Motor and cognitive functions of the ventral premotor cortex. Curr. Opin. Neurobiol. 12, 149–154 (2002).
Boussaoud, D. & Wise, S. P. Primate frontal cortex: neuronal activity following attentional versus intentional cues. Exp. Brain Res. 95, 15–27 (1993).
Kurata, K. Information processing for motor control in primate premotor cortex. Behav. Brain Res. 61, 135–142 (1994).
Cisek, P. & Kalaska, J. F. Neural correlates of mental rehearsal in dorsal premotor cortex. Nature 431, 993–996 (2004).
Petrides, M. in From monkey brain to human brain. (eds Dehaene, S., Duhamel, J. R., Hauser, M. D. & Rizzolatti, G.) 293–314 (MIT Press, Cambridge, Massachusetts, 2005).
Halsband, U., Ito, N., Tanji, J. & Freund, H. J. The role of premotor cortex and the supplementary motor area in the temporal control of movement in man. Brain 116, 243–266 (1993).
Passingham, R. E. Premotor cortex: sensory cues and movement. Behav. Brain Res. 18, 175–185 (1985).
Petrides, M. Deficits in non-spatial conditional associative learning after periarcuate lesions in the monkey. Behav. Brain Res. 16, 95–101 (1985).
Schluter, N. D., Rushworth, M. F., Passingham, R. E. & Mills, K. R. Temporary interference in human lateral premotor cortex suggests dominance for the selection of movements. A study using transcranial magnetic stimulation. Brain 121, 785–799 (1998).
Bermudez, P. & Zatorre, R. J. Conditional associative memory for musical stimuli in nonmusicians: implications for absolute pitch. J. Neurosci. 25, 7718–7723 (2005).
Kurata, K. & Hoffman, D. S. Differential effects of muscimol microinjection into dorsal and ventral aspects of the premotor cortex of monkeys. J. Neurophysiol. 71, 1151–1164 (1994).
Davare, M., Andres, M., Cosnard, G., Thonnard, J. L. & Olivier, E. Dissociating the role of ventral and dorsal premotor cortex in precision grasping. J. Neurosci. 26, 2260–2268 (2006).
Huron, D. Sweet Anticipation. Music and the Psychology of Expectation (MIT Press, Cambridge, Massachusettes, 2006).
Buccino, G. et al. Action observation activates premotor and parietal areas in a somatotopic manner: an fMRI study. Eur. J. Neurosci. 13, 400–404 (2001).
Graziano, M. S., Taylor, C. S., Moore, T. & Cooke, D. F. The cortical control of movement revisited. Neuron 36, 349–362 (2002).
Dum, R. P. & Strick, P. L. Frontal lobe inputs to the digit representations of the motor areas on the lateral surface of the hemisphere. J. Neurosci. 25, 1375–1386 (2005).
Fiebach, C. J. & Schubotz, R. I. Dynamic anticipatory processing of hierarchical sequential events: a common role for Broca's area and ventral premotor cortex across domains? Cortex 42, 499–502 (2006).
Koechlin, E., Ody, C. & Kouneiher, F. The architecture of cognitive control in the human prefrontal cortex. Science 302, 1181–1185 (2003).
Koechlin, E. & Jubault, T. Broca's area and the hierarchical organization of human behaviour. Neuron 50, 963–974 (2006).
Petrides, M. Lateral prefrontal cortex: architectonic and functional organization. Philos. Trans. R. Soc. Lond. B Biol. Sci. 360, 781–795 (2005).
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 cortex of musicians. Nature Neurosci. 5, 688–694 (2002).
Elbert, T., Pantev, C., Wienbruch, C., Rockstroh, B. & Taub, E. Increased cortical representation of the fingers of the left hand in string players. Science 270, 305–307 (1995).
Schlaug, G., Jancke, L., Huang, Y., Staiger, J. F. & Steinmetz, H. Increased corpus callosum size in musicians. Neuropsychologia 33, 1047–1055 (1995).
Watanabe, D., Savion-Lemieux, T. & Penhune, V. B. 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).
Hutchinson, S., Lee, L. H., Gaab, N. & Schlaug, G. Cerebellar Volume of Musicians. Cereb. Cortex 13, 943–949 (2003).
Bengtsson, S. L. et al. Extensive piano practicing has regionally specific effects on white matter development. Nature Neurosci. 8, 1148–1150 (2005).
Chavis, D. A. & Pandya, D. N. Further observations on corticofrontal connections in the rhesus monkey. Brain Res. 117, 369–386 (1976).
Luppino, G., Calzavara, R., Rozzi, S. & Matelli, M. Projections from the superior temporal sulcus to the agranular frontal cortex in the macaque. Eur. J. Neurosci. 14, 1035–1040 (2001).
Petrides, M. & Pandya, D. N. Efferent association pathways originating in the caudal prefrontal cortex in the macaque monkey. J. Comp. Neurol. 498, 227–251 (2006).
Petrides, M. & Pandya, D. N. Association fiber pathways to the frontal cortex from the superior temporal region in the Rhesus monkey. J. Comp. Neurol. 273, 52–66 (1988).
Deacon, T. W. Cortical connections of the inferior arcuate sulcus cortex in the macaque brain. Brain Res. 573, 8–26 (1992).
Pandya, D. N. & Yeterian, E. H. Comparison of prefrontal architecture and connections. Philos. Trans. R. Soc. Lond. B Biol. Sci. 351, 1423–1432 (1996).
Petrides, M. & Pandya, D. N. in Principles of Frontal Lobe Function (eds Stuss, D. T. & Knight, R. T.) 31–50 (Oxford University Press, Oxford, 2002).
Barbas, H. & Pandya, D. N. Architecture and frontal cortical connections of the premotor cortex (area 6) in the rhesus monkey. J. Comp. Neurol. 256, 211–228 (1987).
Lu, M. T., Preston, J. B. & Strick, P. L. Interconnections between the prefrontal cortex and the premotor areas in the frontal lobe. J. Comp. Neurol. 341, 375–392 (1994).
Luppino, G., Rozzi, S., Calzavara, R. & Matelli, M. Prefrontal and agranular cingulate projections to the dorsal premotor areas F2 and F7 in the macaque monkey. Eur. J. Neurosci. 17, 559–578 (2003).
Luppino, G., Matelli, M., Camarda, R. & Rizzolatti, G. Corticocortical connections of area F3 (SMA-proper) and area F6 (pre-SMA) in the macaque monkey. J. Comp. Neurol. 338, 114–140 (1993).
Mesulam, M. M. & Mufson, E. J. in Cerebral Cortex (eds Peters, A. A. & Jones, E. G.) 179–226 (Plenum Press, New York, 1985).
Seltzer, B. & Pandya, D. N. Frontal lobe connections of the superior temporal sulcus in the rhesus monkey. J. Comp. Neurol. 281, 97–113 (1989).
Juslin, P. N. & Sloboda, J. A. Music and Emotion: Theory and Research (Oxford University Press, Oxford, UK, 2001).
Krumhansl, C. L. An exploratory study of musical emotions and psychophysiology. Can. J. Exp. Psychol. 51, 336–353 (1997).
Blood, A. J. & Zatorre, R. J. Intensely pleasurable responses to music correlate with activity in brain regions implicated in reward and emotion. Proc. Natl Acad. Sci. USA 98, 11818–11823 (2001).
de Gelder, B. Towards the neurobiology of emotional body language. Nature Rev. Neurosci. 7, 242–249 (2006).
Juslin, P. N. in Musical Communication (eds. Miell, D., MacDonald, R. & Hargreaves, D.) 85–115 (Oxford University Press, New York, 2005).
Molnar-Szakacs, I. & Overy, K. Music and mirror neurons: from motion to 'e'motion. Soc. Cogn. Affect. Neurosci. 1, 235–241 (2006).
Belin, P., Zatorre, R. J., Hoge, R., Evans, A. C. & Pike, B. Event-related fMRI of the auditory cortex. NeuroImage 10, 417–429 (1999).
Acknowledgements
The authors acknowledge ongoing research support from the Canadian Institutes of Health Research, the Natural Sciences and Engineering Research Council, and the Fonds de la Recherche en Santé du Québec. We thank C. Palmer for helpful comments on an earlier draft.
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Glossary
- Rhythm
-
The local organization of musical time. Rhythm is the pattern of temporal intervals within a musical measure or phrase that in turn creates the perception of stronger and weaker beats.
- Pitch
-
A percept according to which periodic sounds may be ordered from low to high. Musical pitch has complex properties related to scales, and is often represented as a helix. Perceived pitch most often corresponds to the fundamental frequency, even in its absence, owing to the presence of harmonics that are directly related to the fundamental frequency.
- Kinematics
-
Parameters of movement through space without reference to forces (for example, direction, velocity and acceleration).
- Chunking
-
The re-organization or re-grouping of movement sequences into smaller sub-sequences during performance. Chunking is thought to facilitate the smooth performance of complex movements and to improve motor memory.
- Spectral energy
-
Energy contained in the frequency distribution of a given sound.
- Retinotopic mapping
-
The organization or mapping of the visual cortex that reflects the spatial organization of visual information in the retina.
- Cochleotopic mapping
-
The topographic organization or mapping of the auditory cortex to reflect the frequency-based representation in the cochlea.
- Fundamental frequency
-
The frequency of a periodic sound corresponding to the lowest period or mode of vibration, and usually the primary contributor to the perception of pitch. To be distinguished from harmonic partials, which occur at integer multiples of the fundamental frequency.
- Pitch constancy
-
The ability to perceive pitch identity across changes in acoustical properties, such as loudness, temporal envelope, or across different timbres (for example, voices or instruments).
- Musical syntax
-
Rules governing the melodic, rhythmic and harmonic construction of music in a given musical culture.
- Tapping to the beat
-
The ability to tap along to an identifiable repeating pulse present in many styles of music. This periodic pulse usually coincides with the strong beat of a rhythm's meter.
- Mental representation
-
A psychological construct describing information about an object, action or percept that is thought to be encoded in the brain.
- Meter
-
The hierarchical and periodic organization of musical time, usually extending over multiple measures or phrases. Meter is derived from the alternating patterns of strong and weak beats or pulses.
- Phonemes
-
Individual units of speech sound that combine to make words.
- Magnetoencephalography
-
(MEG). A non-invasive technique that allows the detection of the changing magnetic fields that are associated with brain activity on the timescale of milliseconds.
- Transcranial magnetic stimulation
-
(TMS). A technique that is used to induce a transient interruption of normal activity in a relatively restricted area of the brain. It is based on the generation of a strong magnetic field near the area of interest, which, if changed rapidly enough, will induce an electric field that is sufficient to stimulate neurons.
- Diffusion tensor imaging
-
(DTI). A method that can provide quantitative information with which to visualize and study connectivity and continuity of neural pathways in the central and peripheral nervous systems in vivo.
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Zatorre, R., Chen, J. & Penhune, V. When the brain plays music: auditory–motor interactions in music perception and production. Nat Rev Neurosci 8, 547–558 (2007). https://doi.org/10.1038/nrn2152
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DOI: https://doi.org/10.1038/nrn2152
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