The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.
Selective Neuronal Entrainment to the Beat and Meter Embedded in a Musical Rhythm
Open accessAbstract
Fundamental to the experience of music, beat and meter perception refers to the perception of periodicities while listening to music occurring within the frequency range of musical tempo. Here, we explored the spontaneous building of beat and meter hypothesized to emerge from the selective entrainment of neuronal populations at beat and meter frequencies. The electroencephalogram (EEG) was recorded while human participants listened to rhythms consisting of short sounds alternating with silences to induce a spontaneous perception of beat and meter. We found that the rhythmic stimuli elicited multiple steady state-evoked potentials (SS-EPs) observed in the EEG spectrum at frequencies corresponding to the rhythmic pattern envelope. Most importantly, the amplitude of the SS-EPs obtained at beat and meter frequencies were selectively enhanced even though the acoustic energy was not necessarily predominant at these frequencies. Furthermore, accelerating the tempo of the rhythmic stimuli so as to move away from the range of frequencies at which beats are usually perceived impaired the selective enhancement of SS-EPs at these frequencies. The observation that beat- and meter-related SS-EPs are selectively enhanced at frequencies compatible with beat and meter perception indicates that these responses do not merely reflect the physical structure of the sound envelope but, instead, reflect the spontaneous emergence of an internal representation of beat, possibly through a mechanism of selective neuronal entrainment within a resonance frequency range. Taken together, these results suggest that musical rhythms constitute a unique context to gain insight on general mechanisms of entrainment, from the neuronal level to individual level.
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Cites
Brainard, D. H. (1997) · Spatial Vision · doi:10.1163/156856897x00357 · Cited by 19,702
An Information-Maximization Approach to Blind Separation and Blind Deconvolution
Bell, A. J., & Sejnowski, T. J. (1995) · Neural Computation · doi:10.1162/neco.1995.7.6.1129 · Cited by 8,986
Synchronization: A Universal Concept in Nonlinear Sciences
Pikovsky, A., Rosenblum, M., & Kurths, J. (2001) · Cambridge University Press eBooks · doi:10.1017/cbo9780511755743 · Cited by 4,652
Auditory Scene Analysis: The Perceptual Organization of Sound
Bregman, A. S. (1990) · The MIT Press eBooks · doi:10.7551/mitpress/1486.001.0001 · Cited by 3,284
FFTW: an adaptive software architecture for the FFT
Frigo, M., & Johnson, S. G. (2002) · Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181) · doi:10.1109/icassp.1998.681704 · Cited by 1,801
Sensorimotor synchronization: A review of the tapping literature
Repp, B. H. (2005) · Psychonomic Bulletin & Review · doi:10.3758/bf03206433 · Cited by 1,462
Bregman, A. S. (2008) · The Senses: A Comprehensive Reference · doi:10.1016/b978-012370880-9.00009-8 · Cited by 1,396
Jung, T.-P., Makeig, S., Westerfield, M., Townsend, J., Courchesne, E., & Sejnowski, T. J. (2000) · Clinical Neurophysiology · doi:10.1016/s1388-2457(00)00386-2 · Cited by 1,322
Human Brain Electrophysiology: Evoked Potentials and Evoked Magnetic Fields in Science and Medicine
Regan, D. M. (1989) · Medical Entomology and Zoology · Cited by 1,300
A 40-Hz auditory potential recorded from the human scalp.
Galambos, R., Makeig, S., & Talmachoff, P. J. (1981) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.78.4.2643 · Cited by 1,247
Cited by
The steady-state visual evoked potential in vision research: A review
Norcia, A. M., Appelbaum, L. G., Ales, J. M., Cottereau, B. R., & Rossion, B. (2015) · Journal of Vision · doi:10.1167/15.6.4 · Cited by 1,234
Rhythmic entrainment as a musical affect induction mechanism
J. Trost, W., Labbé, C., & Grandjean, D. (2017) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2017.01.004 · Cited by 209
(2014) · neural information processing systems · Cited by 66
Metadata
- Authors
- Nozaradan, S., Peretz, I., & Mouraux, A.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-12-05
- Volume
- 32
- Issue
- 49
- Pages
- 17572-17581
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2081524353
- Cited by
- 334
- References
- 37
- FWCI
- 7.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Nozaradan, S., Peretz, I., & Mouraux, A. (2012). Selective Neuronal Entrainment to the Beat and Meter Embedded in a Musical Rhythm. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.3203-12.2012
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.