ArticleNeurobiology of language (Cambridge, Mass.)2020
Composition is the Core Driver of the Language-selective Network.
Article in Neurobiology of language (Cambridge, Mass.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05222594 (Computational Neuroscience of Language Processing in the Human Brain), which is not on this map. Cited by 49 papers, 2 of them syntheses that pooled it.
What it found
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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.
Computational Neuroscience of Language Processing in the Human Brain
Who cites it
49 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- The Role of the Right Language Network and the Multiple-Demand Network in Verbal Semantics: Insights From an Activation Likelihood Estimation Meta-Analysis of 561 Functional Neuroimaging Studies.Human brain mapping · 2025Pooled it
- Multiple dimensions underlying the functional organization of the language network.NeuroImage · 2021Pooled it
- The compositionality continuum as a principle for studying the neural basis of intelligence.Nature neuroscience · 2026Review
- Precision fMRI reveals that the language network exhibits adult-like left-hemispheric lateralization by 4 years of age.Nature communications · 2026Article
- Neural Coding of Multiple Linguistic Components During Reading Comprehension Across Development.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Mind captioning: Evolving descriptive text of mental content from human brain activity.Science advances · 2025Article
- The neural correlates of novel versus familiar metaphors in healthy young adults: A functional near-infrared spectroscopy study.bioRxiv : the preprint server for biology · 2025Article
- Neural Generative Models and the Parallel Architecture of Language: A Critical Review and Outlook.Topics in cognitive science · 2025Review
- Precision fMRI reveals that the language network exhibits adult-like left-hemispheric lateralization by 4 years of age.bioRxiv : the preprint server for biology · 2025Article
- Reexamining Transposed-Word Effects in the Grammatical Decision Task.Experimental psychology · 2025Article
- Dynamic neuroplasticity of language networks: The intersection of bilingualism and epilepsy.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Relationship between grammar and schizophrenia: a systematic review and meta-analysis.Communications medicine · 2025Article
- A two-dimensional space of linguistic representations shared across individuals.bioRxiv : the preprint server for biology · 2025Article
- A Functional Magnetic Resonance Imaging Study of Phrase Structure and Subject Island Violations.Journal of cognitive neuroscience · 2025Article
- An fMRI study of phrase structure and subject island violations.bioRxiv : the preprint server for biology · 2024Article
- Seeds of language-like generativity in bird call combinations.Proceedings. Biological sciences · 2024Article
- Linguistic inputs must be syntactically parsable to fully engage the language network.bioRxiv : the preprint server for biology · 2024Article
- Conversational production and comprehension: fMRI-evidence reminiscent of but deviant from the classical Broca-Wernicke model.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- High-level language brain regions process sublexical regularities.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Lexical-Semantic Content, Not Syntactic Structure, Is the Main Contributor to ANN-Brain Similarity of fMRI Responses in the Language Network.Neurobiology of language (Cambridge, Mass.) · 2024Article
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
The frontotemporal language network responds robustly and selectively to sentences. But the features of linguistic input that drive this response and the computations that these language areas support remain debated. Two key features of sentences are typically confounded in natural linguistic input: words in sentences (a) are semantically and syntactically combinable into phrase- and clause-level meanings, and (b) occur in an order licensed by the language's grammar. Inspired by recent psycholinguistic work establishing that language processing is robust to word order violations, we hypothesized that the core linguistic computation is composition, and, thus, can take place even when the word order violates the grammatical constraints of the language. This hypothesis predicts that a linguistic string should elicit a sentence-level response in the language network provided that the words in that string can enter into dependency relationships as in typical sentences. We tested this prediction across two fMRI experiments (total
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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 Socratic graph.