Neural modeling and imaging of the cortical interactions underlying syllable production
Open accessAbstract
This paper describes a neural model of speech acquisition and production that accounts for a wide range of acoustic, kinematic, and neuroimaging data concerning the control of speech movements. The model is a neural network whose components correspond to regions of the cerebral cortex and cerebellum, including premotor, motor, auditory, and somatosensory cortical areas. Computer simulations of the model verify its ability to account for compensation to lip and jaw perturbations during speech. Specific anatomical locations of the model's components are estimated, and these estimates are used to simulate fMRI experiments of simple syllable production.
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Predictive control has been successfully implemented in speech motor control.
“Predictive control has been successfully implemented in speech motor control (e.g., Postma, 2000; Guenther et al., 2006; Houde and Nagarajan, 2011).”
From The ConDialInt Model: Condensation, Dialogality, and Intentionality Dimensions of Inner Speech Within a Hierarchical Predictive Control Framework (2019) · cites this paper as Guenther et al., 2006
In dynamic speech control, it is unlikely that the phonetic targets of speakers are exclusively specified in terms of spatial configurations (positions and velocities of the speech articulators).
“In the case of dynamic speech control, it is unlikely that the phonetic targets of the speakers are exclusively specified in terms of spatial configurations, i.e., positions and velocities of the speech articulators.”
From The ConDialInt Model: Condensation, Dialogality, and Intentionality Dimensions of Inner Speech Within a Hierarchical Predictive Control Framework (2019) · cites this paper as Guenther et al., 2006
Speech targets are defined in both auditory and articulatory terms.
“Many studies suggest instead that speech targets are defined in both auditory and articulatory terms (for arguments on auditory targets see e.g., Perkell et al., 1997 or Guenther et al., 2006; for arguments on articulatory, i.e., somatosensory, targets, see Saltzman and Munhall, 1989, Browman and Goldstein, 1989 or Tremblay et al., 2003; for arguments on auditory-somatosensory targets, see e.g., L”
From The ConDialInt Model: Condensation, Dialogality, and Intentionality Dimensions of Inner Speech Within a Hierarchical Predictive Control Framework (2019) · cites this paper as Guenther et al., 2006
The left premotor cortex (BA 6) is associated with compiling motor codes for syllables and with a speech sound map that links phonemes or frequent syllables to their associated motor programs.
“More posteriorly, in the left premotor cortex (BA 6), activation was associated with compiling motor codes for syllables (Indefrey and Levelt, 2004) and a “speech sound map” that linked phonemes or frequent syllables to their associated motor programs (Guenther et al., 2006).”
From A review and synthesis of the first 20years of PET and fMRI studies of heard speech, spoken language and reading (2012) · cites this paper as Guenther et al., 2006
There are error cells in parietal (somatosensory) cortex that monitor tactile and proprioceptive sensations.
“Likewise, Guenther et al. (2006) proposed that there were “error cells” in the parietal (somatosensory) cortex that monitor the tactile and proprioceptive sensations.”
From A review and synthesis of the first 20years of PET and fMRI studies of heard speech, spoken language and reading (2012) · cites this paper as Guenther et al. (2006)
There are error cells in posterior superior temporal gyrus and planum temporale that respond when there is a mismatch between intended/expected speech and the sound of the speech.
“This was addressed by Guenther et al. (2006) who proposed that there were “error cells” in the posterior superior temporal gyrus and planum temporale that respond when there is a mismatch between the intended/expected speech and the sound of the speech.”
From A review and synthesis of the first 20years of PET and fMRI studies of heard speech, spoken language and reading (2012) · cites this paper as Guenther et al. (2006)
The error signal is fed back to primary motor cortex to adjust speech output closer to that intended.
“The error signal is then fed back to the primary motor cortex to adjust the speech output so that it can be closer to that which was intended.”
From A review and synthesis of the first 20years of PET and fMRI studies of heard speech, spoken language and reading (2012) · cites this paper as Guenther et al. (2006)
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Subject's own speech reduces reactivity of the human auditory cortex
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Self-citationNative language, gender, and functional organization of the auditory cortex
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A hemispherically asymmetrical MEG response to vowels
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Self-citationPlausible Neural Networks for Biological Modelling
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Syllables as concatenative phonetic units
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Curio (2000) · doi:10.1002/(sici)1097-0193(200004)9:4
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Price, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.062 · Cited by 2,159 · see citing works
The DIVA model: A neural theory of speech acquisition and production
Tourville, J. A., & Guenther, F. H. (2011) · Language and Cognitive Processes · doi:10.1080/01690960903498424 · Cited by 748 · see citing works
“Model components were mapped to locations in the Montreal Neurological Institute (MNI; Mazziotta et al., 2001) standard reference frame based on relevant neuroanatomical and neurophysiological studies (Guenther et al., 2006).”
InfluentialSelf-citationFunctional organization of human sensorimotor cortex for speech articulation
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Neural mechanisms underlying auditory feedback control of speech
Tourville, J. A., Reilly, K. J., & Guenther, F. H. (2008) · NeuroImage · doi:10.1016/j.neuroimage.2007.09.054 · Cited by 649 · see citing works
Self-citationSpeech Production as State Feedback Control
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Neural representations and mechanisms for the performance of simple speech sequences
Bohland, J. W., Bullock, D., & Guenther, F. H. (2010) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2009.21306 · Cited by 393 · see citing works
“The SSM is a component of the DIVA model (Guenther et al., 1998, 2006; Guenther, 1995) that is hypothesized to contain cells that, when activated, “readout” motor programs and sensory expectations for well-learned speech sounds.”
InfluentialA Wireless Brain-Machine Interface for Real-Time Speech Synthesis
Guenther, F. H., Brumberg, J. S., Wright, E. J., Nieto-Castanon, A., Tourville, J. A., Panko, M., Law, R., Siebert, S. A., Bartels, J. L., Andreasen, D. S., et al. (2009) · PLoS ONE · doi:10.1371/journal.pone.0008218 · Cited by 306 · see citing works
Self-citationA larynx area in the human motor cortex
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Mental imagery of speech and movement implicates the dynamics of internal forward models
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“, 1998) and an additional auditory efference copy is used to predict the possible auditory outcome (Guenther et al., 2006).”
Decoding spoken words using local field potentials recorded from the cortical surface
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Impairment of speech production predicted by lesion load of the left arcuate fasciculus
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Sensory-motor networks involved in speech production and motor control: an fMRI study
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Self-citationDecoding spectrotemporal features of overt and covert speech from the human cortex
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Damage to the anterior arcuate fasciculus predicts non-fluent speech production in aphasia
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Functional segregation of cortical regions underlying speech timing and articulation
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The origins of the vocal brain in humans
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Re-establishing Broca's initial findings
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Perceptual systems controlling speech production
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- Authors
- Guenther, F. H., Ghosh, S. S., & Tourville, J. A.
- Affiliations
- Boston University (US)
- Corresponding author
- Guenther, Frank H.
- Venue
- Brain and Language
- Publisher
- Elsevier BV
- Published
- 2006-03
- Volume
- 96
- Issue
- 3
- Pages
- 280-301
- ISSN
- 0093-934X (ISSN-L)
- PMC
- PMC1473986
- OpenAlex
- W2098204469
- Cited by
- 879
- References
- 159
- Citations by year
- 2026: 21 · 2025: 28 · 2024: 24 · 2023: 35 · 2022: 36 · 2021: 40 · 2020: 50 · 2019: 49 · 2018: 43 · 2017: 52 · 2016: 43 · 2015: 77 · 2014: 60 · 2013: 61 · 2012: 46
- FWCI
- 10.58
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Brain and Language (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- OpenBU (Boston University) (submittedVersion)
- Funders
- National Institute on Deafness and Other Communication Disorders (R29DC002852, R01DC001925, R01DC002852)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Health Sciences › Medicine › Physiology › Voice and Speech Disorders
- Keywords
- syllable production, speech motor control, speech development, neural network model, cerebral cortex, cerebellum, premotor cortex, motor cortex, auditory cortex, somatosensory cortex, cortical interactions
- MeSH terms
- Brain Mapping, Cerebral Cortex, Computer Simulation, Humans, Magnetic Resonance Imaging, Models, Neurological, Nerve Net, Synaptic Transmission, Psychomotor Performance, Speech
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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