The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Cortical entrainment to music and its modulation by expertise
Open accessAbstract
Significance: We demonstrate that cortical oscillatory activity in both low (<8 Hz) and high (15–30 Hz) frequencies is tightly coupled to behavioral performance in musical listening, in a bidirectional manner. In light of previous work on speech, we propose a framework in which the brain exploits the temporal regularities in music to accurately parse individual notes from the sound stream using lower frequencies (entrainment) and in higher frequencies to generate temporal and content-based predictions of subsequent note events associated with predictive models.
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Cites
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Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496
The cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495
Self-citationA mechanism for cognitive dynamics: neuronal communication through neuronal coherence.
Fries, P. (2005) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2005.08.011 · Cited by 4,284
Entrainment of Neuronal Oscillations as a Mechanism of Attentional Selection
Lakatos, P., Karmos, G., Mehta, A. D., Ulbert, I., & Schroeder, C. E. (2008) · Science · doi:10.1126/science.1154735 · Cited by 1,719
Musical experience shapes human brainstem encoding of linguistic pitch patterns
Wong, P. C. M., Skoe, E., Russo, N. M., Dees, T., & Kraus, N. (2007) · Nature Neuroscience · doi:10.1038/nn1872 · Cited by 954
Why would Musical Training Benefit the Neural Encoding of Speech? The OPERA Hypothesis
Patel, A. D. (2011) · Frontiers in Psychology · doi:10.3389/fpsyg.2011.00142 · Cited by 703
Speech rhythms and multiplexed oscillatory sensory coding in the human brain
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Cited by
Magnetoencephalography for Brain Electrophysiology and Imaging
Baillet, S. (2017) · Nature Neuroscience · doi:10.1038/nn.4504 · Cited by 992
Temporal modulations in speech and music
Ding, N., Patel, A. D., Chen, L., Butler, H., Luo, C., & Poeppel, D. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.02.011 · Cited by 502
Self-citationProactive Sensing of Periodic and Aperiodic Auditory Patterns
Rimmele, J. M., Morillon, B., Poeppel, D., & Arnal, L. H. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.08.003 · Cited by 267
Self-citationCognition through the lens of a body–brain dynamic system
Criscuolo, A., Schwartze, M., & Kotz, S. A. (2022) · Trends in Neurosciences · doi:10.1016/j.tins.2022.06.004 · Cited by 76
Pando‐Naude, V., Matthews, T. E., Højlund, A., Jakobsen, S., Østergaard, K., Johnsen, E., Garza‐Villarreal, E. A., Witek, M. A. G., Penhune, V., & Vuust, P. (2024) · European Journal of Neuroscience · doi:10.1111/ejn.16128 · Cited by 29
Metadata
- Authors
- Doelling, K. B., & Poeppel, D.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2015-10-26
- Volume
- 112
- Issue
- 45
- Pages
- E6233-42
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2134285990
- Cited by
- 333
- References
- 8
- FWCI
- 7.93
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
