ArticleCommunications biology2025
Whole-brain dynamics of articulatory, acoustic and semantic speech representations.
Article in Communications biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Interindividual vocal tract diversity influences the phonetic diversification of spoken languages.PLoS biology · 2026Article
- Time-resolved hemodynamic responses to sentence-level speech perception, production, and self-monitoring.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Rapid cortical mapping with cross-participant encoding models.Imaging neuroscience (Cambridge, Mass.) · 2026Article
- Distributed cortico-subcortical networks enable robust speech state detection from sparse intracranial recordings.Frontiers in neuroscience · 2026Article
- An open dataset of multidimensional signals based on different speech patterns in pragmatic Mandarin.Scientific data · 2025Article
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Authors and funding
6 authors.
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Abstract
Speech production is a complex process that traverses several representations, from the meaning of spoken words (semantic), through the movement of articulatory muscles (articulatory) and, ultimately, to the produced audio waveform (acoustic). In this study, we identify how these different representations of speech are spatially and temporally distributed throughout the depth of the brain. Intracranial neural data is recorded from 15 participants, across 1647 electrode contacts, while overtly speaking 100 unique words. We find a bilateral spatial distribution for all three representations, with a more widespread and temporally dynamic distribution in the left compared to the right hemisphere. The articulatory and acoustic representations share a similar spatial distribution surrounding the Sylvian fissure, while the semantic representation is more widely distributed across the brain in a mostly distinct network. These results highlight the distributed nature of the speech production neural process and the potential of non-motor representations for speech brain-computer interfaces.
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