Evidence map›Paper›PMID 30575521›Full record

ArticleeLife2018

Specific lexico-semantic predictions are associated with unique spatial and temporal patterns of neural activity.

Lin Wang, Gina Kuperberg, Ole Jensen

Abstract read
In one paragraph

Article in eLife, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  5. Article
  6. Hierarchical dynamic coding coordinates speech comprehension in the human brain.Proceedings of the National Academy of Sciences of the United States of America · 2025
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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

3 authors.

Lin WangDepartment of Psychiatry, Harvard Medical School, Boston, United States.ORCID http://orcid.org/0000-0001-6911-0660
Gina KuperbergDepartment of Psychiatry, Harvard Medical School, Boston, United States.ORCID http://orcid.org/0000-0001-6093-7872
Ole JensenSchool of Psychology, Centre for Human Brain Health, University of Birmingham, Birmingham, United Kingdom.ORCID http://orcid.org/0000-0001-8193-8348

Funding

The neural basis of language comprehension: Insights from spatiotemporal imagingR01HD082527 · NICHD · MASSACHUSETTS GENERAL HOSPITAL · PI GINA R KUPERBERG · 2015 to 2026
$5.8M
NICHD NIH HHS R01 HD08252NICHD NIH HHS R01 HD082527Wellcome TrustWellcome Trust 207550Wellcome Trust Investigator Award in Science: 207550
6 · The paper itself

Abstract

We used Magnetoencephalography (MEG) in combination with Representational Similarity Analysis to probe neural activity associated with distinct, item-specific lexico-semantic predictions during language comprehension. MEG activity was measured as participants read highly constraining sentences in which the final words could be predicted. Before the onset of the predicted words, both the spatial and temporal patterns of brain activity were more similar when the same words were predicted than when different words were predicted. The temporal patterns localized to the left inferior and medial temporal lobe. These findings provide evidence that unique spatial and temporal patterns of neural activity are associated with item-specific lexico-semantic predictions. We suggest that the unique spatial patterns reflected the prediction of spatially distributed semantic features associated with the predicted word, and that the left inferior/medial temporal lobe played a role in temporally 'binding' these features, giving rise to unique lexico-semantic predictions.

Indexed as

LanguageSemanticsAdolescentAdultBrainBrain MappingComprehensionFemaleHumansMagnetoencephalographyMaleReadingTemporal LobeYoung Adulthumaninferior temporallanguageMEGneurosciencepredictionspatial patterntemporal pattern

Identifiers

PMID30575521
PMCPMC6322859

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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.