ArticleProceedings of the National Academy of Sciences of the United States of America2023
Spatiotemporally distributed frontotemporal networks for sentence reading.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 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
34 citing papers in PubMed, 57 citations in OpenAlex.
- Selectivity for high-level language processing is highly localized in individual brains.bioRxiv : the preprint server for biology · 2026Article
- Audiovisual integration in reading among school-aged children: Evidence from combined fMRI and EEG.Developmental cognitive neuroscience · 2026Article
- Emotive language activates right temporoparietal junction, while referential language activates the left hemispheric network.Brain structure & function · 2026Article
- Zero-shot pseudowords memorability via representational content analysis.Psychonomic bulletin & review · 2026Article
- Stimulus-driven and behavior-driving activity along the cortical auditory hierarchy.NeuroImage · 2026Article
- Frontotemporal network interactions causally support rapid concreteness judgments during reading.PLoS biology · 2026Article
- Whole-Brain Dynamic Causal Tractography Atlas of Auditory and Visual Speech Networks Derived From Intracranial Neurophysiologic Data.Neurology · 2026Observational
- Gateway to Syntax: On the Neural Origins of the Left Anterior Negativity and Their Functional Implications.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Neural Coding of Multiple Linguistic Components During Reading Comprehension Across Development.Neurobiology of language (Cambridge, Mass.) · 2026Article
- Hierarchical linguistic predictions and cross-level information updating during narrative comprehension.Communications biology · 2025Article
- SIGNAL: Dataset for Semantic and Inferred Grammar Neurological Analysis of Language.Scientific data · 2025Article
- Article
- Visualization of functional and effective connectivity underlying auditory descriptive naming.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology · 2025Article
- Low-frequency cortical activity reflects context-dependent parsing of word sequences.iScience · 2025Article
- A left-lateralized dorsolateral prefrontal network for naming.Cell reports · 2025Article
- Hippocampal and cortical high-frequency oscillations orchestrate human semantic networks during word list memory.iScience · 2025Article
- Memorability of novel words correlates with anterior fusiform activity during reading.Nature communications · 2025Article
- Neural populations in the language network differ in the size of their temporal receptive windows.Nature human behaviour · 2024Article
- The language network is topographically diverse and driven by rapid syntactic inferences.Nature reviews. Neuroscience · 2024Article
- The neocortical infrastructure for language involves region-specific patterns of laminar gene expression.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
Reading a sentence entails integrating the meanings of individual words to infer more complex, higher-order meaning. This highly rapid and complex human behavior is known to engage the inferior frontal gyrus (IFG) and middle temporal gyrus (MTG) in the language-dominant hemisphere, yet whether there are distinct contributions of these regions to sentence reading is still unclear. To probe these neural spatiotemporal dynamics, we used direct intracranial recordings to measure neural activity while reading sentences, meaning-deficient Jabberwocky sentences, and lists of words or pseudowords. We isolated two functionally and spatiotemporally distinct frontotemporal networks, each sensitive to distinct aspects of word and sentence composition. The first distributed network engages the IFG and MTG, with IFG activity preceding MTG. Activity in this network ramps up over the duration of a sentence and is reduced or absent during Jabberwocky and word lists, implying its role in the derivation of sentence-level meaning. The second network engages the superior temporal gyrus and the IFG, with temporal responses leading those in frontal lobe, and shows greater activation for each word in a list than those in sentences, suggesting that sentential context enables greater efficiency in the lexical and/or phonological processing of individual words. These adjacent, yet spatiotemporally dissociable neural mechanisms for word- and sentence-level processes shed light on the richly layered semantic networks that enable us to fluently read. These results imply distributed, dynamic computation across the frontotemporal language network rather than a clear dichotomy between the contributions of frontal and temporal structures.
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.