Evidence map›Paper›PMID 37215341›Full record

ArticleNeurobiology of language (Cambridge, Mass.)2022

Supramodal Sentence Processing in the Human Brain: fMRI Evidence for the Influence of Syntactic Complexity in More Than 200 Participants.

Julia Uddén, Annika Hultén, Jan-Mathijs Schoffelen, Nietzsche Lam, Karin Harbusch, Antal van den Bosch, Gerard Kempen, Karl Magnus Petersson, Peter Hagoort

Abstract read
In one paragraph

Article in Neurobiology of language (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Compositional Complexity in Text and Images.Neurobiology of language (Cambridge, Mass.) · 2026
    Article
  3. Review
  4. Article
  5. Whole-Brain Dimensions of Intrinsic Connectivity Capture Modality-Specific and Heteromodal Language Representations.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. Diverging neural dynamics for syntactic structure building in naturalistic speaking and listening.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Toward Robust Functional Neuroimaging Genetics of Cognition.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  20. 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

9 authors.

Julia UddénMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0001-6672-1298
Annika HulténMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0001-7305-4606
Jan-Mathijs SchoffelenDonders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands.
Nietzsche LamMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.
Karin HarbuschDepartment of Computer Science, University of Koblenz-Landau, Koblenz, Germany.
Antal van den BoschDonders Institute for Brain, Cognition and Behaviour, Centre for Cognitive Neuroimaging, Radboud University, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0003-2493-656X
Gerard KempenMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0002-4281-6580
Karl Magnus PeterssonMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.
Peter HagoortMax Planck Institute for Psycholinguistics, Nijmegen, the Netherlands.ORCID https://orcid.org/0000-0001-7280-7549

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated two questions. One is: To what degree is sentence processing beyond single words independent of the input modality (speech vs. reading)? The second question is: Which parts of the network recruited by both modalities is sensitive to syntactic complexity? These questions were investigated by having more than 200 participants read or listen to well-formed sentences or series of unconnected words. A largely left-hemisphere frontotemporoparietal network was found to be supramodal in nature, i.e., independent of input modality. In addition, the left inferior frontal gyrus (LIFG) and the left posterior middle temporal gyrus (LpMTG) were most clearly associated with left-branching complexity. The left anterior temporal lobe showed the greatest sensitivity to sentences that differed in right-branching complexity. Moreover, activity in LIFG and LpMTG increased from sentence onset to end, in parallel with an increase of the left-branching complexity. While LIFG, bilateral anterior temporal lobe, posterior MTG, and left inferior parietal lobe all contribute to the supramodal unification processes, the results suggest that these regions differ in their respective contributions to syntactic complexity related processing. The consequences of these findings for neurobiological models of language processing are discussed.

Indexed as

complexityfMRIsentence processingsupramodalunification

Identifiers

PMID37215341
PMCPMC10158636

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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.