ArticleNeurobiology of language (Cambridge, Mass.)2026
A Unified Neural Time Course for Words, Phrases, and Sentences: MEG Evidence from Parallel Presentation.
Article in Neurobiology of language (Cambridge, Mass.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Spatiotemporal dynamics of lexical and morphosyntactic planning during language production revealed by magnetoencephalography.bioRxiv : the preprint server for biology · 2026Article
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2 authors.
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Abstract
Recent behavioral and neural research on reading shows that humans can extract syntactic structure from short sentences within a fraction of a second-faster than many estimates for recognizing the meaning of a single word. This challenges a core assumption of many language processing models-that combinatory operations depend on prior lexical access. Furthermore, studies using parallel presentation of full sentences have revealed electrophysiological responses remarkably similar to those well established for single words. This raises the question of whether words, phrases, and sentences all move through the same processing stages, regardless of syntactic complexity. Using magnetoencephalography, we examined how single words, phrases, and sentences are processed when all visual information is available at once. Across all three levels, we observed highly similar waveform dynamics, with early responses reflecting bottom-up detection of form, followed by activity in the left anterior and posterior temporal cortices and ventromedial prefrontal cortex consistent with combinatory processing. Of these regions, the left anterior temporal lobe showed effects of bigram frequency suggestive of serial left-to-right dynamics. Together, these results support a Global-to-Sequential Assembly model in which the brain first detects the global form of the stimulus in a snapshot-like manner and then probes its combinatory properties through partially serial processes.
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