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  An oscillator model better predicts cortical entrainment to music

Doelling, K. B., Assaneo, M. F., Bevilacqua, D., Pesaran, B., & Poeppel, D. (2019). An oscillator model better predicts cortical entrainment to music. Proceedings of the National Academy of Sciences of the United States of America, 116(20), 10113-10121. doi:10.1073/pnas.1816414116.

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Item Permalink: http://hdl.handle.net/21.11116/0000-0003-D3D8-B Version Permalink: http://hdl.handle.net/21.11116/0000-0003-D3D9-A
Genre: Journal Article

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 Creators:
Doelling, Keith B.1, Author
Assaneo, M. Florencia1, Author
Bevilacqua, Dana1, Author
Pesaran, Bijan2, Author
Poeppel, David1, 3, Author              
Affiliations:
1Department of Psychology, New York University, New York, NY 10003, ou_persistent22              
2Center for Neural Science, New York University, New York, NY 10003, ou_persistent22              
3Department of Neuroscience, Max Planck Institute for Empirical Aesthetics, Max Planck Society, ou_2421697              

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Free keywords: oscillator; evoked response; MEG; music; computational models
 Abstract: A body of research demonstrates convincingly a role for synchronization of auditory cortex to rhythmic structure in sounds including speech and music. Some studies hypothesize that an oscillator in auditory cortex could underlie important temporal processes such as segmentation and prediction. An important critique of these findings raises the plausible concern that what is measured is perhaps not an oscillator but is instead a sequence of evoked responses. The two distinct mechanisms could look very similar in the case of rhythmic input, but an oscillator might better provide the computational roles mentioned above (i.e., segmentation and prediction). We advance an approach to adjudicate between the two models: analyzing the phase lag between stimulus and neural signal across different stimulation rates. We ran numerical simulations of evoked and oscillatory computational models, showing that in the evoked case, phase lag is heavily rate-dependent, while the oscillatory model displays marked phase concentration across stimulation rates. Next, we compared these model predictions with magnetoencephalography data recorded while participants listened to music of varying note rates. Our results show that the phase concentration of the experimental data is more in line with the oscillatory model than with the evoked model. This finding supports an auditory cortical signal that (i) contains components of both bottom-up evoked responses and internal oscillatory synchronization whose strengths are weighted by their appropriateness for particular stimulus types and (ii) cannot be explained by evoked responses alone.

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Language(s): eng - English
 Dates: 2019-04-242019-05-14
 Publication Status: Published in print
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Method: -
 Identifiers: ISI: 000467804000065
DOI: 10.1073/pnas.1816414116
 Degree: -

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Title: Proceedings of the National Academy of Sciences of the United States of America
  Other : Proc. Acad. Sci. USA
  Other : Proc. Acad. Sci. U.S.A.
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : PNAS
Source Genre: Journal
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Publ. Info: Washington, D.C. : National Academy of Sciences
Pages: - Volume / Issue: 116 (20) Sequence Number: - Start / End Page: 10113 - 10121 Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230