ArticleNeurobiology of language (Cambridge, Mass.)2022
Lexical Frequency and Sentence Context Influence the Brain's Response to Single Words.
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 13 papers.
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.
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.
Who cites it
13 citing papers in PubMed, 27 citations in OpenAlex.
- Functional identification of language-responsive sensors in individual participants in MEG investigations.Journal of neurophysiology · 2026Article
- Cognitive processing of semantic mismatch in Chinese reading: the moderating effect of contextual constraint.Frontiers in psychology · 2026Article
- A Unified Neural Time Course for Words, Phrases, and Sentences: MEG Evidence from Parallel Presentation.Neurobiology of language (Cambridge, Mass.) · 2026Article
- 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 · 2025Article
- Memorability of novel words correlates with anterior fusiform activity during reading.Nature communications · 2025Article
- Neural Dynamics of the Processing of Speech Features: Evidence for a Progression of Features from Acoustic to Sentential Processing.bioRxiv : the preprint server for biology · 2024Article
- Neural encoding of semantic structures during sentence production.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Language prediction in monolingual and bilingual speakers: an EEG study.Scientific reports · 2024Article
- Individual word representations dissociate from linguistic context along a cortical unimodal to heteromodal gradient.Human brain mapping · 2024Article
- The Cerebellum Is Sensitive to the Lexical Properties of Words During Spoken Language Comprehension.Neurobiology of language (Cambridge, Mass.) · 2024Article
- A tradeoff between acoustic and linguistic feature encoding in spoken language comprehension.eLife · 2023Article
- Delta-Band Neural Responses to Individual Words Are Modulated by Sentence Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Spatiotemporally distributed frontotemporal networks for sentence reading.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Typical adults read remarkably quickly. Such fast reading is facilitated by brain processes that are sensitive to both word frequency and contextual constraints. It is debated as to whether these attributes have additive or interactive effects on language processing in the brain. We investigated this issue by analysing existing magnetoencephalography data from 99 participants reading
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.