Evidence map›Paper›PMID 32869058›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2021

Decoding the Real-Time Neurobiological Properties of Incremental Semantic Interpretation.

Hun S Choi, William D Marslen-Wilson, Bingjiang Lyu, Billi Randall, Lorraine K Tyler

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Multiple Concurrent Predictions Inform Prediction Error in the Human Auditory Pathway.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  6. 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.

Hun S ChoiCentre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge CB3 0DX, UK.
William D Marslen-WilsonCentre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge CB3 0DX, UK.
Bingjiang LyuCentre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge CB3 0DX, UK.
Billi RandallCentre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge CB3 0DX, UK.
Lorraine K TylerCentre for Speech, Language and the Brain, Department of Psychology, University of Cambridge, Cambridge CB3 0DX, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Communication through spoken language is a central human capacity, involving a wide range of complex computations that incrementally interpret each word into meaningful sentences. However, surprisingly little is known about the spatiotemporal properties of the complex neurobiological systems that support these dynamic predictive and integrative computations. Here, we focus on prediction, a core incremental processing operation guiding the interpretation of each upcoming word with respect to its preceding context. To investigate the neurobiological basis of how semantic constraints change and evolve as each word in a sentence accumulates over time, in a spoken sentence comprehension study, we analyzed the multivariate patterns of neural activity recorded by source-localized electro/magnetoencephalography (EMEG), using computational models capturing semantic constraints derived from the prior context on each upcoming word. Our results provide insights into predictive operations subserved by different regions within a bi-hemispheric system, which over time generate, refine, and evaluate constraints on each word as it is heard.

Indexed as

CommunicationLanguagePsycholinguisticsAdolescentAdultAnticipation, PsychologicalBayes TheoremComprehensionComputer SimulationElectroencephalographyFemaleHumansMagnetoencephalographyMaleModels, NeurologicalSemanticsBayesian language modelingelectro/magnetoencephalographyincremental predictionrepresentational similarity analysissemantics

Identifiers

PMID32869058
PMCPMC7727355

What OpenQuestion holds

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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.