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  Neural tracking of phrases in spoken language comprehension is automatic and task-dependent

Ten Oever, S., Carta, S., Kaufeld, G., & Martin, A. E. (2022). Neural tracking of phrases in spoken language comprehension is automatic and task-dependent. eLife, 11: e77468. doi:10.7554/eLife.77468.

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© 2022, ten Oever et al. This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

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Ten Oever, Sanne1, 2, 3, Author           
Carta, Sara1, 2, 4, 5, Author
Kaufeld, Greta1, Author           
Martin, Andrea E.1, 2, Author           
Affiliations:
1Language and Computation in Neural Systems, MPI for Psycholinguistics, Max Planck Society, ou_3217300              
2FC Donders Centre for Cognitive Neuroimaging , External Organizations, ou_55235              
3Maastricht University, Maastricht, The Netherlands, ou_persistent22              
4University of Dublin, Dublin, Ireland, ou_persistent22              
5University of Trento, Trento, Italy, ou_persistent22              

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 Abstract: Linguistic phrases are tracked in sentences even though there is no one-to-one acoustic phrase marker in the physical signal. This phenomenon suggests an automatic tracking of abstract linguistic structure that is endogenously generated by the brain. However, all studies investigating linguistic tracking compare conditions where either relevant information at linguistic timescales is available, or where this information is absent altogether (e.g., sentences versus word lists during passive listening). It is therefore unclear whether tracking at phrasal timescales is related to the content of language, or rather, results as a consequence of attending to the timescales that happen to match behaviourally relevant information. To investigate this question, we presented participants with sentences and word lists while recording their brain activity with magnetoencephalography (MEG). Participants performed passive, syllable, word, and word-combination tasks corresponding to attending to four different rates: one they would naturally attend to, syllable-rates, word-rates, and phrasal-rates, respectively. We replicated overall findings of stronger phrasal-rate tracking measured with mutual information for sentences compared to word lists across the classical language network. However, in the inferior frontal gyrus (IFG) we found a task effect suggesting stronger phrasal-rate tracking during the word-combination task independent of the presence of linguistic structure, as well as stronger delta-band connectivity during this task. These results suggest that extracting linguistic information at phrasal rates occurs automatically with or without the presence of an additional task, but also that IFG might be important for temporal integration across various perceptual domains.

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Language(s): eng - English
 Dates: 2022-07-14
 Publication Status: Published online
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 Rev. Type: Peer
 Identifiers: DOI: 10.7554/eLife.77468
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Title: eLife
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Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 11 Sequence Number: e77468 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X