ArticleeNeuro2026
Spatiotemporal Dynamics in Prespeech Semantic Category Decoding: An Intracranial EEG Study.
Article in eNeuro, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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Authors and funding
5 authors.
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Abstract
Despite advances in brain-computer interfaces, decoding high-level language representations prior to speech remains challenging. While prior efforts have focused on acoustic or articulatory features, how semantic categories are decoded in time and space remains unclear. Here, we investigated how semantic representations unfold over time by analyzing high-gamma (HG; 70-170 Hz) electrocorticography signals from 20 subjects (7 females and 13 males) performing a word-reading task with body- and nonbody-related words. HG activity was examined from word presentation to 500 ms. Group-level time-resolved decoding within each Brodmann area (BA) revealed significant classification accuracy above chance in both hemispheres (
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