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High-level language brain regions are sensitive to sub-lexical regularities

View ORCID ProfileTamar I. Regev, View ORCID ProfileJosef Affourtit, View ORCID ProfileXuanyi Chen, Abigail E. Schipper, View ORCID ProfileLeon Bergen, View ORCID ProfileKyle Mahowald, View ORCID ProfileEvelina Fedorenko
doi: https://doi.org/10.1101/2021.06.11.447786
Tamar I. Regev
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
2McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA
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  • For correspondence: tamarr@mit.edu evelina9@mit.edu
Josef Affourtit
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
2McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA
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Xuanyi Chen
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
2McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA
3Department of Cognitive Sciences, Rice University, Houston, TX 77005, USA
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Abigail E. Schipper
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
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Leon Bergen
4Department of Linguistics, University of California San Diego, San Diego CA 92093, USA
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Kyle Mahowald
5Department of Linguistics, University of California Santa Barbara, Santa Barbara, CA 93106, USA
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Evelina Fedorenko
1Department of Brain and Cognitive Sciences, MIT, Cambridge, MA 02139, USA
2McGovern Institute for Brain Research, MIT, Cambridge, MA 02139, USA
6The Harvard Program in Speech and Hearing Bioscience and Technology, Boston, MA 02115, USA
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  • For correspondence: tamarr@mit.edu evelina9@mit.edu
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ABSTRACT

A network of left frontal and temporal brain regions supports ‘high-level’ language processing— including the processing of word meanings, as well as word-combinatorial processing—across presentation modalities. This ‘core’ language network has been argued to store our knowledge of words and constructions as well as constraints on how those combine to form sentences. However, our linguistic knowledge additionally includes information about sounds (phonemes) and how they combine to form clusters, syllables, and words. Is this knowledge of phoneme combinatorics also represented in these language regions? Across five fMRI experiments, we investigated the sensitivity of high-level language processing brain regions to sub-lexical linguistic sound patterns by examining responses to diverse nonwords—sequences of sounds/letters that do not constitute real words (e.g., punes, silory, flope). We establish robust responses in the language network to visually (Experiment 1a, n=605) and auditorily (Experiments 1b, n=12, and 1c, n=13) presented nonwords relative to baseline. In Experiment 2 (n=16), we find stronger responses to nonwords that obey the phoneme-combinatorial constraints of English. Finally, in Experiment 3 (n=14) and a post-hoc analysis of Experiment 2, we provide suggestive evidence that the responses in Experiments 1 and 2 are not due to the activation of real words that share some phonology with the nonwords. The results suggest that knowledge of phoneme combinatorics and representations of sub-lexical linguistic sound patterns are stored within the same fronto-temporal network that stores higher-level linguistic knowledge and supports word and sentence comprehension.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • ↵† Co-senior authors

  • Design and materials creation and norming: AES, LB, KM, EF

  • Experimental script creation: KM

  • fMRI data collection: JA, KM, EF

  • fMRI data preprocessing and analysis: TIR, JA, XC, EF

  • Formal statistical analysis: TIR

  • Writing: TIR, KM, EF (the rest of the authors provided edits and comments)

  • Overall project supervision: EF

  • Conflict of interest The authors declare no competing financial interests.

  • https://osf.io/6c2y7/

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Posted June 11, 2021.
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High-level language brain regions are sensitive to sub-lexical regularities
Tamar I. Regev, Josef Affourtit, Xuanyi Chen, Abigail E. Schipper, Leon Bergen, Kyle Mahowald, Evelina Fedorenko
bioRxiv 2021.06.11.447786; doi: https://doi.org/10.1101/2021.06.11.447786
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High-level language brain regions are sensitive to sub-lexical regularities
Tamar I. Regev, Josef Affourtit, Xuanyi Chen, Abigail E. Schipper, Leon Bergen, Kyle Mahowald, Evelina Fedorenko
bioRxiv 2021.06.11.447786; doi: https://doi.org/10.1101/2021.06.11.447786

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