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  Phase-dependent word perception emerges from region-specific sensitivity to the statistics of language

Oever, S. T., Titone, L., Rietmolen, N. t., & Martin, A. E. (2024). Phase-dependent word perception emerges from region-specific sensitivity to the statistics of language. PNAS, 121(23): e2320489121. doi:10.1073/pnas.2320489121.

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 Creators:
Oever, Sanne Ten1, 2, 3, Author
Titone, Lorenzo4, Author           
Rietmolen, Noémie te1, 2, Author
Martin, Andrea E.1, 2, Author
Affiliations:
1Language and Computation in Neural Systems Group, Max Planck Institute for Psycholinguistics, Nijmegen, the Netherlands, ou_persistent22              
2Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands, ou_persistent22              
3Department of Cognitive Neuroscience, Maastricht University, the Netherlands, ou_persistent22              
4Max Planck Research Group Language Cycles, MPI for Human Cognitive and Brain Sciences, Max Planck Society, ou_3025666              

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Free keywords: MEG; Neural oscillations; Phase; Speech; Spoken word recognition
 Abstract: Neural oscillations reflect fluctuations in excitability, which biases the percept of ambiguous sensory input. Why this bias occurs is still not fully understood. We hypothesized that neural populations representing likely events are more sensitive, and thereby become active on earlier oscillatory phases, when the ensemble itself is less excitable. Perception of ambiguous input presented during less-excitable phases should therefore be biased toward frequent or predictable stimuli that have lower activation thresholds. Here, we show such a frequency bias in spoken word recognition using psychophysics, magnetoencephalography (MEG), and computational modelling. With MEG, we found a double dissociation, where the phase of oscillations in the superior temporal gyrus and medial temporal gyrus biased word-identification behavior based on phoneme and lexical frequencies, respectively. This finding was reproduced in a computational model. These results demonstrate that oscillations provide a temporal ordering of neural activity based on the sensitivity of separable neural populations.

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Language(s): eng - English
 Dates: 2023-11-292024-04-222024-05-282024-06-04
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: DOI: 10.1073/pnas.2320489121
Other: epub 2024
PMID: 38805278
 Degree: -

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Project name : -
Grant ID : 016.Vidi.188.029; 024.001.006
Funding program : -
Funding organization : Netherlands Organization for Scientific Research (NWO)
Project name : -
Grant ID : ERC-2023-STG; 101116685
Funding program : -
Funding organization : European Research Council (ERC)

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Title: PNAS
  Other : Proceedings of the National Academy of Sciences of the United States of America
  Other : Proceedings of the National Academy of Sciences of the USA
  Abbreviation : Proc. Natl. Acad. Sci. U. S. A.
Source Genre: Journal
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Publ. Info: -
Pages: - Volume / Issue: 121 (23) Sequence Number: e2320489121 Start / End Page: - Identifier: ISSN: 0027-8424
CoNE: https://pure.mpg.de/cone/journals/resource/954925427230