The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Internalized Timing of Isochronous Sounds Is Represented in Neuromagnetic Beta Oscillations
Open accessAbstract
Moving in synchrony with an auditory rhythm requires predictive action based on neurodynamic representation of temporal information. Although it is known that a regular auditory rhythm can facilitate rhythmic movement, the neural mechanisms underlying this phenomenon remain poorly understood. In this experiment using human magnetoencephalography, 12 young healthy adults listened passively to an isochronous auditory rhythm without producing rhythmic movement. We hypothesized that the dynamics of neuromagnetic beta-band oscillations (∼20 Hz)—which are known to reflect changes in an active status of sensorimotor functions—would show modulations in both power and phase-coherence related to the rate of the auditory rhythm across both auditory and motor systems. Despite the absence of an intention to move, modulation of beta amplitude as well as changes in cortico-cortical coherence followed the tempo of sound stimulation in auditory cortices and motor-related areas including the sensorimotor cortex, inferior-frontal gyrus, supplementary motor area, and the cerebellum. The time course of beta decrease after stimulus onset was consistent regardless of the rate or regularity of the stimulus, but the time course of the following beta rebound depended on the stimulus rate only in the regular stimulus conditions such that the beta amplitude reached its maximum just before the occurrence of the next sound. Our results suggest that the time course of beta modulation provides a mechanism for maintaining predictive timing, that beta oscillations reflect functional coordination between auditory and motor systems, and that coherence in beta oscillations dynamically configure the sensorimotor networks for auditory-motor coupling.
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Cites
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913
Näätänen, R., & Picton, T. (1987) · Psychophysiology · doi:10.1111/j.1469-8986.1987.tb00311.x · Cited by 3,321
Beta-band oscillations—Signalling the status quo?
Engel, A. K., & Fries, P. (2010) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2010.02.015 · Cited by 2,953
Van Veen, B. D., Van Drongelen, W., Yuchtman, M., & Suzuki, A. (1997) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.623056 · Cited by 2,561
Gamma rhythms and beta rhythms have different synchronization properties
Kopell, N., Ermentrout, G. B., Whittington, M. A., & Traub, R. D. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.97.4.1867 · Cited by 1,072 · cited 4×
“Specifically, we tested the hypotheses that (1) periodic modulation of induced beta activities would anticipate acoustic events, providing a predictive temporal representation of stimulus rate, and that both the beta (2) power comodulation and (3) phase-coherence would span auditory- and motor-related brain areas, pro…”
BackgroundInfluentialSignal Processing in Magnetoencephalography
Vrba, J., & Robinson, S. E. (2001) · Methods · doi:10.1006/meth.2001.1238 · Cited by 716
Rhythmic and dysrhythmic thalamocortical dynamics: GABA systems and the edge effect
Llinás, R., Urbano, F. J., Leznik, E., Ramírez, R. R., & van Marle, H. J. F. (2005) · Trends in Neurosciences · doi:10.1016/j.tins.2005.04.006 · Cited by 549
Fast and Slow Oscillations in Human Primary Motor Cortex Predict Oncoming Behaviorally Relevant Cues
Saleh, M., Reimer, J., Penn, R., Ojakangas, C. L., & Hatsopoulos, N. G. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.001 · Cited by 281 · cited 2×
“Our results particularly resemble those of human intracranial recordings in which the beta increase peaked just before an informative cue presented with predictable timing (Saleh et al., 2010).”
BackgroundResultWildgruber, D., Ackermann, H., & Grodd, W. (2001) · NeuroImage · doi:10.1006/nimg.2000.0672 · Cited by 206
Cited by
Cortical oscillations and sensory predictions
Arnal, L. H., & Giraud, A.-L. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.05.003 · Cited by 1,114
Sensorimotor synchronization: a review of recent research (2006–2012).
Repp, B. H., & Su, Y.-H. (2013) · Psychonomic Bulletin & Review · doi:10.3758/s13423-012-0371-2 · Cited by 1,204
The ups and downs of beta oscillations in sensorimotor cortex
Kilavik, B. E., Zaepffel, M., Brovelli, A., MacKay, W. A., & Riehle, A. (2013) · Experimental Neurology · doi:10.1016/j.expneurol.2012.09.014 · Cited by 787
Interpersonal synchrony increases prosocial behavior in infants
Cirelli, L. K., Einarson, K. M., & Trainor, L. J. (2014) · Developmental Science · doi:10.1111/desc.12193 · Cited by 565
Self-citationNeurobiological foundations of neurologic music therapy: rhythmic entrainment and the motor system
Thaut, M. H., McIntosh, G. C., & Hoemberg, V. (2015) · Frontiers in Psychology · doi:10.3389/fpsyg.2014.01185 · Cited by 500
Metadata
- Authors
- Fujioka, T., Trainor, L. J., Large, E. W., & Ross, B.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2012-02-01
- Volume
- 32
- Issue
- 5
- Pages
- 1791-1802
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2067975977
- Cited by
- 618
- References
- 9
- FWCI
- 15.97
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Fujioka, T., Trainor, L. J., Large, E. W., & Ross, B. (2012). Internalized Timing of Isochronous Sounds Is Represented in Neuromagnetic Beta Oscillations. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.4107-11.2012
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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