Evidence map›Paper›PMID 36973013›Full record

ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2023

Semantic Representations during Language Comprehension Are Affected by Context.

Fatma Deniz, Christine Tseng, Leila Wehbe, Tom Dupré la Tour, Jack L Gallant

Open access · greenAbstract read
In one paragraph

Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

23 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Bilingual language processing relies on shared semantic representations that are modulated by each language.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  5. Article
  6. Rapid cortical mapping with cross-participant encoding models.Imaging neuroscience (Cambridge, Mass.) · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

5 authors at 3 institutions in 2 countries.

Fatma DenizHelen Wills Neuroscience Institute, University of California, Berkeley, California 94720.
Christine TsengHelen Wills Neuroscience Institute, University of California, Berkeley, California 94720.
Leila WehbeMachine Learning Department, Carnegie Mellon University, Pittsburgh, Pennsylvania 15213.
Tom Dupré la TourHelen Wills Neuroscience Institute, University of California, Berkeley, California 94720.
Jack L GallantHelen Wills Neuroscience Institute, University of California, Berkeley, California 94720 gallant@berkeley.edu.ORCID 0000-0001-7273-1054
University of California, Berkeley · USCarnegie Mellon University · USTechnische Universität Berlin · DE

Funding

Neuroscience Training Program at UC BerkeleyT32NS095939 · NINDS · UNIVERSITY OF CALIFORNIA BERKELEY · PI BATEUP, HELEN S. · 2016 to 2025
$6.3M
NINDS NIH HHS T32 NS095939
6 · The paper itself

Abstract

The meaning of words in natural language depends crucially on context. However, most neuroimaging studies of word meaning use isolated words and isolated sentences with little context. Because the brain may process natural language differently from how it processes simplified stimuli, there is a pressing need to determine whether prior results on word meaning generalize to natural language. fMRI was used to record human brain activity while four subjects (two female) read words in four conditions that vary in context: narratives, isolated sentences, blocks of semantically similar words, and isolated words. We then compared the signal-to-noise ratio (SNR) of evoked brain responses, and we used a voxelwise encoding modeling approach to compare the representation of semantic information across the four conditions. We find four consistent effects of varying context. First, stimuli with more context evoke brain responses with higher SNR across bilateral visual, temporal, parietal, and prefrontal cortices compared with stimuli with little context. Second, increasing context increases the representation of semantic information across bilateral temporal, parietal, and prefrontal cortices at the group level. In individual subjects, only natural language stimuli consistently evoke widespread representation of semantic information. Third, context affects voxel semantic tuning. Finally, models estimated using stimuli with little context do not generalize well to natural language. These results show that context has large effects on the quality of neuroimaging data and on the representation of meaning in the brain. Thus, neuroimaging studies that use stimuli with little context may not generalize well to the natural regime.

Indexed as

ComprehensionSemanticsBrainBrain MappingFemaleHumansLanguageMagnetic Resonance Imaging

Identifiers

PMID36973013
PMCPMC10146529
OpenAlexW4361017888

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.