ArticleProceedings of the National Academy of Sciences of the United States of America2024
Diverging neural dynamics for syntactic structure building in naturalistic speaking and listening.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Hybrid spatial organization and evidence for magnitude-independent neural coding of linguistic information during sentence production.Science advances · 2026Article
- Article
- Characterizing Verb Argument Structure in Aphasia Using Dependency Parsers.Journal of speech, language, and hearing research : JSLHR · 2026Article
- The neurobiology of human sequential signal prediction: Insights from language, music, and mathematics.Neuroscience research · 2026Review
- Building hierarchically nested structure by rapid neural sequences.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Shared phonological networks in frontal and temporal cortex for language production and comprehension.Cerebral cortex (New York, N.Y. : 1991) · 2025Article
- Conversational content is organized across multiple timescales in the brain.Nature human behaviour · 2025Article
- Hybrid spatial organization and magnitude-independent coding of linguistic information during sentence production.bioRxiv : the preprint server for biology · 2025Article
- Decoding words during sentence production with ECoG reveals syntactic role encoding and structure-dependent temporal dynamics.Communications psychology · 2025Article
- Language-specific neural dynamics extend syntax into the time domain.PLoS biology · 2025Article
- Neural Predictors for the Generalization of Semantic and Phonological Treatment to Discourse Performance in Chronic Post-Stroke Aphasia.Neurobiology of language (Cambridge, Mass.) · 2025Article
- Frequency-specific cortico-subcortical interaction in continuous speaking and listening.eLife · 2024Article
- Neural encoding of semantic structures during sentence production.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- The Concise Language Paradigm (CLaP), a framework for studying the intersection of comprehension and production: electrophysiological properties.Brain structure & function · 2024Article
- The structure and statistics of language jointly shape cross-frequency neural dynamics during spoken language comprehension.Nature communications · 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
- Localizing Syntactic Composition with Left-Corner Recurrent Neural Network Grammars.Neurobiology of language (Cambridge, Mass.) · 2024Article
- Lexical Surprisal Shapes the Time Course of Syntactic Structure Building.Neurobiology of language (Cambridge, Mass.) · 2024Article
- Connectivity of Fronto-Temporal Regions in Syntactic Structure Building During Speaking and Listening.Neurobiology of language (Cambridge, Mass.) · 2024Article
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4 authors.
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Abstract
The neural correlates of sentence production are typically studied using task paradigms that differ considerably from the experience of speaking outside of an experimental setting. In this fMRI study, we aimed to gain a better understanding of syntactic processing in spontaneous production versus naturalistic comprehension in three regions of interest (BA44, BA45, and left posterior middle temporal gyrus). A group of participants (n = 16) was asked to speak about the events of an episode of a TV series in the scanner. Another group of participants (n = 36) listened to the spoken recall of a participant from the first group. To model syntactic processing, we extracted word-by-word metrics of phrase-structure building with a top-down and a bottom-up parser that make different hypotheses about the timing of structure building. While the top-down parser anticipates syntactic structure, sometimes before it is obvious to the listener, the bottom-up parser builds syntactic structure in an integratory way after all of the evidence has been presented. In comprehension, neural activity was found to be better modeled by the bottom-up parser, while in production, it was better modeled by the top-down parser. We additionally modeled structure building in production with two strategies that were developed here to make different predictions about the incrementality of structure building during speaking. We found evidence for highly incremental and anticipatory structure building in production, which was confirmed by a converging analysis of the pausing patterns in speech. Overall, this study shows the feasibility of studying the neural dynamics of spontaneous language production.
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