IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v16y2025i1d10.1038_s41467-025-56779-w.html
   My bibliography  Save this article

Cortical processing of discrete prosodic patterns in continuous speech

Author

Listed:
  • G. Nike Gnanateja

    (University of Wisconsin-Madison)

  • Kyle Rupp

    (University of Pittsburgh)

  • Fernando Llanos

    (The University of Texas at Austin)

  • Jasmine Hect

    (University of Pittsburgh)

  • James S. German

    (Aix-Marseille University, CNRS, LPL)

  • Tobias Teichert

    (University of Pittsburgh
    University of Pittsburgh)

  • Taylor J. Abel

    (University of Pittsburgh
    University of Pittsburgh)

  • Bharath Chandrasekaran

    (University of Pittsburgh
    Northwestern University
    Knowles Hearing Center)

Abstract

Prosody has a vital function in speech, structuring a speaker’s intended message for the listener. The superior temporal gyrus (STG) is considered a critical hub for prosody, but the role of earlier auditory regions like Heschl’s gyrus (HG), associated with pitch processing, remains unclear. Using intracerebral recordings in humans and non-human primate models, we investigated prosody processing in narrative speech, focusing on pitch accents—abstract phonological units that signal word prominence and communicative intent. In humans, HG encoded pitch accents as abstract representations beyond spectrotemporal features, distinct from segmental speech processing, and outperforms STG in disambiguating pitch accents. Multivariate models confirm HG’s unique representation of pitch accent categories. In the non-human primate, pitch accents were not abstractly encoded, despite robust spectrotemporal processing, highlighting the role of experience in shaping abstract representations. These findings emphasize a key role for the HG in early prosodic abstraction and advance our understanding of human speech processing.

Suggested Citation

  • G. Nike Gnanateja & Kyle Rupp & Fernando Llanos & Jasmine Hect & James S. German & Tobias Teichert & Taylor J. Abel & Bharath Chandrasekaran, 2025. "Cortical processing of discrete prosodic patterns in continuous speech," Nature Communications, Nature, vol. 16(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56779-w
    DOI: 10.1038/s41467-025-56779-w
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-025-56779-w
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-025-56779-w?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Daniel Bendor & Xiaoqin Wang, 2005. "The neuronal representation of pitch in primate auditory cortex," Nature, Nature, vol. 436(7054), pages 1161-1165, August.
    2. Matthijs J. Warrens & Hanneke Hoef, 2022. "Understanding the Adjusted Rand Index and Other Partition Comparison Indices Based on Counting Object Pairs," Journal of Classification, Springer;The Classification Society, vol. 39(3), pages 487-509, November.
    3. Yuanning Li & Claire Tang & Junfeng Lu & Jinsong Wu & Edward F. Chang, 2021. "Human cortical encoding of pitch in tonal and non-tonal languages," Nature Communications, Nature, vol. 12(1), pages 1-12, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Junfeng Lu & Yuanning Li & Zehao Zhao & Yan Liu & Yanming Zhu & Ying Mao & Jinsong Wu & Edward F. Chang, 2023. "Neural control of lexical tone production in human laryngeal motor cortex," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    2. Philip J Monahan & Kevin de Souza & William J Idsardi, 2008. "Neuromagnetic Evidence for Early Auditory Restoration of Fundamental Pitch," PLOS ONE, Public Library of Science, vol. 3(8), pages 1-6, August.
    3. Gwangsu Kim & Dong-Kyum Kim & Hawoong Jeong, 2024. "Spontaneous emergence of rudimentary music detectors in deep neural networks," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    4. Minseog Oh & Donggyu Kim, 2024. "Property of Inverse Covariance Matrix-based Financial Adjacency Matrix for Detecting Local Groups," Papers 2412.05664, arXiv.org.
    5. R Channing Moore & Tyler Lee & Frédéric E Theunissen, 2013. "Noise-invariant Neurons in the Avian Auditory Cortex: Hearing the Song in Noise," PLOS Computational Biology, Public Library of Science, vol. 9(3), pages 1-14, March.
    6. Lucija v{Z}igni'c & Stjepan Beguv{s}i'c & Zvonko Kostanjv{c}ar, 2024. "Block-diagonal idiosyncratic covariance estimation in high-dimensional factor models for financial time series," Papers 2407.03781, arXiv.org.
    7. Christophe Micheyl & Paul R Schrater & Andrew J Oxenham, 2013. "Auditory Frequency and Intensity Discrimination Explained Using a Cortical Population Rate Code," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-7, November.
    8. Patrick C M Wong & Bharath Chandrasekaran & Jing Zheng, 2012. "The Derived Allele of ASPM Is Associated with Lexical Tone Perception," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-8, April.
    9. Oded Barzelay & Miriam Furst & Omri Barak, 2017. "A New Approach to Model Pitch Perception Using Sparse Coding," PLOS Computational Biology, Public Library of Science, vol. 13(1), pages 1-36, January.
    10. Michael Wolmetz & Mounya Elhilali, 2016. "Attentional and Contextual Priors in Sound Perception," PLOS ONE, Public Library of Science, vol. 11(2), pages 1-17, February.
    11. Mark R. Saddler & Ray Gonzalez & Josh H. McDermott, 2021. "Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception," Nature Communications, Nature, vol. 12(1), pages 1-25, December.
    12. Falk Lieder & Klaas E Stephan & Jean Daunizeau & Marta I Garrido & Karl J Friston, 2013. "A Neurocomputational Model of the Mismatch Negativity," PLOS Computational Biology, Public Library of Science, vol. 9(11), pages 1-14, November.
    13. Donggyu Kim & Minseog Oh, 2024. "Property of Inverse Covariance Matrix-based Financial Adjacency Matrix for Detecting Local Groups," Working Papers 202420, University of California at Riverside, Department of Economics.
    14. Dąbrowski, Marek A. & Janus, Jakub & Mucha, Krystian, 2025. "Shades of inflation targeting: insights from fractional integration," MPRA Paper 123455, University Library of Munich, Germany.
    15. Jeremy D W Greenlee & Roozbeh Behroozmand & Charles R Larson & Adam W Jackson & Fangxiang Chen & Daniel R Hansen & Hiroyuki Oya & Hiroto Kawasaki & Matthew A Howard III, 2013. "Sensory-Motor Interactions for Vocal Pitch Monitoring in Non-Primary Human Auditory Cortex," PLOS ONE, Public Library of Science, vol. 8(4), pages 1-12, April.
    16. Daniel Bendor, 2015. "The Role of Inhibition in a Computational Model of an Auditory Cortical Neuron during the Encoding of Temporal Information," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-25, April.
    17. Fabio Ashtar Telarico & Franc Mali & Aleš Žiberna, 2024. "Revealing dynamic co-authorship structure in the social sciences through blockmodeling: the Slovenian case (1991–2020)," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(9), pages 5635-5672, September.
    18. Weiping Yang & Jingjing Yang & Yulin Gao & Xiaoyu Tang & Yanna Ren & Satoshi Takahashi & Jinglong Wu, 2015. "Effects of Sound Frequency on Audiovisual Integration: An Event-Related Potential Study," PLOS ONE, Public Library of Science, vol. 10(9), pages 1-15, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56779-w. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.