Evidence map›Paper›PMID 35833919›Full record

ArticleeLife2022

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

Sanne Ten Oever, Sara Carta, Greta Kaufeld, Andrea E Martin

Abstract read
In one paragraph

Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Left Perisylvian Rhythms Encode Prosody and Syntax during Delayed Sentence Repetition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  5. Article
  6. What's Surprising About Surprisal.Computational brain & behavior · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Phase-dependent word perception emerges from region-specific sensitivity to the statistics of language.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  11. Article
  12. Article
  13. Lexical Surprisal Shapes the Time Course of Syntactic Structure Building.Neurobiology of language (Cambridge, Mass.) · 2024
    Article
  14. Article
  15. Article
  16. Neurophysiological Evidence for Semantic Processing of Irrelevant Speech and Own-Name Detection in a Virtual Café.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  17. Delta-Band Neural Responses to Individual Words Are Modulated by Sentence Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Sanne Ten OeverLanguage and Computation in Neural Systems group, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands.ORCID 0000-0001-7547-5842
Sara CartaLanguage and Computation in Neural Systems group, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands.
Greta KaufeldLanguage and Computation in Neural Systems group, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands.
Andrea E MartinLanguage and Computation in Neural Systems group, Max Planck Institute for Psycholinguistics, Nijmegen, Netherlands.ORCID 0000-0002-3395-7234

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

ComprehensionSpeech PerceptionBrain MappingHumansLanguageLinguisticshumanMEGmutual informationneurosciencesentence comprehensionspeechtemporal dynamics

Identifiers

PMID35833919
PMCPMC9282854

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.