The nested hierarchy of overt, mouthed, and imagined speech activity evident in intracranial recordings
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Abstract
Recent studies have demonstrated that it is possible to decode and synthesize various aspects of acoustic speech directly from intracranial measurements of electrophysiological brain activity. In order to continue progressing toward the development of a practical speech neuroprosthesis for the individuals with speech impairments, better understanding and modeling of imagined speech processes are required. The present study uses intracranial brain recordings from participants that performed a speaking task with trials consisting of overt, mouthed, and imagined speech modes, representing various degrees of decreasing behavioral output. Speech activity detection models are constructed using spatial, spectral, and temporal brain activity features, and the features and model performances are characterized and compared across the three degrees of behavioral output. The results indicate the existence of a hierarchy in which the relevant channels for the lower behavioral output modes form nested subsets of the relevant channels from the higher behavioral output modes. This provides important insights for the elusive goal of developing more effective imagined speech decoding models with respect to the better-established overt speech decoding counterparts.
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Both neuroimaging and electrophysiological studies have shown that inner speech engages a similar but not identical cortical network as physically produced speech.
“Both neuroimaging and electrophysiological studies have shown that inner speech engages a similar (but not identical) cortical network as physically produced speech34–36”
From Inner speech in motor cortex and implications for speech neuroprostheses (2025) · cites this paper as [34]
Studies on inner speech have also shown overlapping mechanisms between attempted and inner speech production.
“Studies on inner speech have also shown overlapping mechanisms between attempted and inner speech production 34,45,49–52.”
From Inner speech in motor cortex and implications for speech neuroprostheses (2025) · cites this paper as [34]
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References 93 · Cited by 48
- Authors
- Soroush, P. Z., Herff, C., Ries, S. K., Shih, J. J., Schultz, T., & Krusienski, D. J.
- Affiliations
- Virginia Commonwealth University (US)
- Maastricht University (NL)
- UC San Diego Health System (US)
- University of Bremen (DE)
- Corresponding author
- Krusienski, Dean J.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2023-04
- Volume
- 269
- Pages
- 119913
- ISSN
- 1053-8119 (ISSN-L)
- OpenAlex
- W4319063414
- Cited by
- 48
- References
- 93
- Citations by year
- 2026: 8 · 2025: 21 · 2024: 13 · 2023: 5 · 2022: 1
- FWCI
- 7.02
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- NeuroImage (publishedVersion, cc-by-nc-nd)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion)
- PubMed (publishedVersion)
- Research Publications (Maastricht University) (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Publications (Maastricht University) (submittedVersion, cc-by-nc-nd)
- Funders
- Bundesministerium für Bildung und Forschung (01GQ1602)
- BMBF Berlin
- National Science Foundation (1608140, 2011595)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Life Sciences › Neuroscience › Cognitive Neuroscience › Tactile and Sensory Interactions
- Keywords
- imagined speech, overt speech, voice activity detection, intracranial recordings, speech decoding, speech disorders
- MeSH terms
- Brain, Electroencephalography, Face, Humans, Mouth, Speech, Brain-Computer Interfaces
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