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Neural Representations and Mechanisms for the Performance of Simple Speech Sequences
Open accessAbstract
Speakers plan the phonological content of their utterances before their release as speech motor acts. Using a finite alphabet of learned phonemes and a relatively small number of syllable structures, speakers are able to rapidly plan and produce arbitrary syllable sequences that fall within the rules of their language. The class of computational models of sequence planning and performance termed competitive queuing models have followed K. S. Lashley [The problem of serial order in behavior. In L. A. Jeffress (Ed.), Cerebral mechanisms in behavior (pp. 112-136). New York: Wiley, 1951] in assuming that inherently parallel neural representations underlie serial action, and this idea is increasingly supported by experimental evidence. In this article, we developed a neural model that extends the existing DIVA model of speech production in two complementary ways. The new model includes paired structure and content subsystems [cf. MacNeilage, P. F. The frame/content theory of evolution of speech production. Behavioral and Brain Sciences, 21, 499-511, 1998 ] that provide parallel representations of a forthcoming speech plan as well as mechanisms for interfacing these phonological planning representations with learned sensorimotor programs to enable stepping through multisyllabic speech plans. On the basis of previous reports, the model's components are hypothesized to be localized to specific cortical and subcortical structures, including the left inferior frontal sulcus, the medial premotor cortex, the basal ganglia, and the thalamus. The new model, called gradient order DIVA, thus fills a void in current speech research by providing formal mechanistic hypotheses about both phonological and phonetic processes that are grounded by neuroanatomy and physiology. This framework also generates predictions that can be tested in future neuroimaging and clinical case studies.
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“Finally, the left putamen and thalamus were incorporated into a motor loop that passes activity from the SMA via the putamen to the thalamus and into the motor cortex (Bohland et al., 2010).”
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 Bohland et al., 2010
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“Finally, the left putamen and thalamus were incorporated into a motor loop that passes activity from the SMA via the putamen to the thalamus and into the motor cortex (Bohland et al., 2010).”
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Self-citationConsensus Paper: Language and the Cerebellum: an Ongoing Enigma
Mariën, P., Ackermann, H., Adamaszek, M., Barwood, C. H. S., Beaton, A. A., Desmond, J. E., Witte, E. D., Fawcett, A. J., Hertrich, I., Küper, M., et al. (2013) · The Cerebellum · doi:10.1007/s12311-013-0540-5 · Cited by 533
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BackgroundA control process model of code-switching
Green, D. W., & Wei, L. (2014) · Language Cognition and Neuroscience · doi:10.1080/23273798.2014.882515 · Cited by 381
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BackgroundMethodThe Cortical Organization of Syntax
Matchin, W., & Hickok, G. (2020) · Cerebral Cortex · doi:10.1093/cercor/bhz180 · Cited by 370
Hurlstone, M. J., Hitch, G. J., & Baddeley, A. D. (2014) · Psychological Bulletin · doi:10.1037/a0034221 · Cited by 351
The frontal aslant tract (FAT) and its role in speech, language and executive function
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“All simulations assume that the motor programs for the ''go'', ''di'', and ''vE'' syllables were among those acquired by the DIVA portion of the circuit (see Bohland et al., 2010).”
InfluentialNeural network connectivity differences in children who stutter
Chang, S., & Zhu, D. C. (2013) · Brain · doi:10.1093/brain/awt275 · Cited by 223
“Using a neurobiologically plausible model of speech production (Guenther et al., 2006; Bohland et al., 2010), the authors tested the hypothesis that an excess in dopamine would cause overexcitation of the thalamus, in effect disrupting the basal ganglia input to the ventral premotor cortex.”
BackgroundA systematic literature review of sex differences in childhood language and brain development
Etchell, A., Adhikari, A., Weinberg, L. S., Choo, A. L., Garnett, E. O., Chow, H. M., & Chang, S.-E. (2018) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2018.04.011 · Cited by 193
“basal ganglia critically support the initiation of speech sequence production (Bohland et al., 2010), while the cerebellum interfaces between cortical motor and sensory areas via the thalamus to play a role in speech error correction when there is a mismatch between the expected and actual self-initiated sensory (audi…”
BackgroundGolfinopoulos, E., Tourville, J. A., & Guenther, F. H. (2010) · NeuroImage · doi:10.1016/j.neuroimage.2009.10.023 · Cited by 200
“…Mapping hypothesized based on imaging studies (e.g., Ghosh et al., 2008; Tourville et al., 2008). t1:15 Tongue 1 (−60.2, −2.8, 27) (62.9, −1.5, 28.9) Mapping hypothesized based on Boling et al. (2002) and supported by somatosensory evoked potential study of humans (McCarthy et al., 1993). t1:16…”
BackgroundInfluentialCivier, O., Tasko, S. M., & Guenther, F. H. (2010) · Journal of Fluency Disorders · doi:10.1016/j.jfludis.2010.05.002 · Cited by 197
Involvement of the Cortico-Basal Ganglia-Thalamocortical Loop in Developmental Stuttering
Chang, S., & Guenther, F. H. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.03088 · Cited by 189
“In the current review, we will utilize the Directions Into Velocities of Articulators (DIVA) neurocomputational modeling framework (Guenther et al., 2006; Bohland et al., 2010; Guenther, 2016) to mechanistically interpret relevant findings from the behavioral and neurological literatures on developmental stuttering.”
MethodComputational models of motivated action selection in corticostriatal circuits
Frank, M. J. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.02.013 · Cited by 179
“More recent mechanistic network models have integrated the selection and learning mechanisms into a single model including the direct, indirect and hyperdirect pathways of the BG, with different model neurons to simulate physiological properties of the different nuclei [13,12,22].”
BackgroundSpeech entrainment enables patients with Broca's aphasia to produce fluent speech
Fridriksson, J., Hubbard, H. I., Hudspeth, S. G., Holland, A. L., Bonilha, L., Fromm, D., & Rorden, C. (2012) · Brain · doi:10.1093/brain/aws301 · Cited by 163
“…provide feed- forward information during speech production—the supramarginal gyrus involves somatosensory targets and the superior temporal gyrus and superior temporal sulcus provide auditory targets for speech articulation (Guenther et al., 1998; Bohland et al., 2010; Golfinopolous et al., 2010).”
Cai, S., Beal, D. S., Ghosh, S., Tiede, M., Guenther, F. H., & Perkell, J. S. (2012) · PLoS ONE · doi:10.1371/journal.pone.0041830 · Cited by 162
“The integration of the DIVA model with the GODIVA model [75], a neurocomputational model of the sequencing of syllables in multisyllabic utterances, holds potential for filling this gap and for establishing an appropriate framework for investigating relations between the deficits of auditory-motor interaction and the…”
Functional and Neuroanatomical Bases of Developmental Stuttering: Current Insights
Chang, S., Garnett, E. O., Etchell, A. C., & Chow, H. M. (2018) · The Neuroscientist · doi:10.1177/1073858418803594 · Cited by 168
The Role of Rhythm in Speech and Language Rehabilitation: The SEP Hypothesis
Fujii, S., & Wan, C. Y. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00777 · Cited by 158
“The directions into velocities of articulators (DIVA) model articulators including the upper and lower lips,the jaw,the tongue, and the larynx.”
Role of the left frontal aslant tract in stuttering: a brain stimulation and tractographic study
Kemerdere, R., de Champfleur, N. M., Deverdun, J., Cochereau, J., Moritz‐Gasser, S., Herbet, G., & Duffau, H. (2015) · Journal of Neurology · doi:10.1007/s00415-015-7949-3 · Cited by 130
“Interestingly, it seems that SMA operates initiation of planned speech actions [66].”
BackgroundLanguage Control and Code-switching
Green, D. W. (2018) · Languages · doi:10.3390/languages3020008 · Cited by 129
Structural connectivity of right frontal hyperactive areas scales with stuttering severity
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“A speech production model maps the processing of feedback control to fronto-parietal and frontotemporal networks (Guenther et al., 1998; Bohland et al., 2009).”
BackgroundA review of brain circuitries involved in stuttering
Craig-Mcquaide, A., Akram, H., Zrinzo, L. U., & Tripoliti, E. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00884 · Cited by 121
“Benke et al. (2000) proposed that repetitive speech phenomena in PD patients can be divided into two types, the first resembling palilalia (with hyperfluent repetitions, fast utterances, increased speech rate and often blurred or murmured due to articulation that is poor or decreasing in loudness)…”
BackgroundMethodThe Neural Correlates of Speech Motor Sequence Learning
Segawa, J. A., Tourville, J. A., Beal, D. S., & Guenther, F. H. (2014) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00737 · Cited by 116
“…of non-speech motor sequence learning studies (Hikosaka et al., 1996; Lehericy et al., 2005; Poldrack et al., 2005), and we have previously proposed that this network interacts with the premotor cortex to sequentially execute a series of speech motor programs (Bohland, Bullock, & Guenther, 2010).”
Ultrasound Biofeedback Treatment for Persisting Childhood Apraxia of Speech
Preston, J. L., Brick, N., & Landi, N. (2013) · American Journal of Speech-Language Pathology · doi:10.1044/1058-0360(2013/12-0139 · Cited by 115
Mandonnet, E., Sarubbo, S., & Duffau, H. (2016) · Neurosurgical Review · doi:10.1007/s10143-016-0723-x · Cited by 115
Krieg, S. M., Tarapore, P. E., Picht, T., Tanigawa, N., Houde, J. F., Sollmann, N., Meyer, B., Vajkoczy, P., Berger, M. S., Ringel, F. A., et al. (2014) · NeuroImage · doi:10.1016/j.neuroimage.2014.06.016 · Cited by 110
“, 2009), internally generated phonological representation (Bohland et al., 2010; Hickok, 2012; Rauschecker, 2012; Tian and Poeppel, 2013) and semantic representation (Binder et al.”
Phonemes: Lexical access and beyond
Kazanina, N., Bowers, J. S., & Idsardi, W. J. (2017) · Psychonomic Bulletin & Review · doi:10.3758/s13423-017-1362-0 · Cited by 118
Cai, S., Tourville, J. A., Beal, D. S., Perkell, J. S., Guenther, F. H., & Ghosh, S. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00054 · Cited by 103
“This finding was consistent with the critical role played by the left vPMC in the DIVA model of speech motor control (Guenther et al., 2006; Golfinopoulos et al., 2010) and the GODIVA model of speech sequencing (Bohland et al., 2010).”
ResultNozari, N., & Pinet, S. (2019) · Journal of Neurolinguistics · doi:10.1016/j.jneuroling.2019.100875 · Cited by 96
AbdulSabur, N. Y., Xu, Y., Liu, S., Chow, H. M., Baxter, M., Carson, J., & Braun, A. R. (2014) · Cortex · doi:10.1016/j.cortex.2014.01.017 · Cited by 99
Role of the auditory system in speech production
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Selection and coordination: The articulatory basis for the emergence of phonological structure
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“…mechanism akin to internal feedback that serves the purpose of regulating when plans are deselected, such as a “ deactivation time ” parameter (Rumelhart & Norman, 1982), “ postselection negative feedback ” (Dell, 1986), or a “ a non-speci fi c response suppression signal ” (Bohland et al., 2010).”
BackgroundNeural Competitive Queuing of Ordinal Structure Underlies Skilled Sequential Action
Kornysheva, K., Bush, D., Meyer, S. S., Sadnicka, A., Barnes, G. R., & Burgess, N. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.018 · Cited by 85
“(2002), who taught non-human primates to copy geometrical shapes presented on the computer screen while they recorded multi-unit activity from the prefrontal cortex, an area homologous to the inferior frontal cortex in the human brain (Bohland et al., 2010).”
BackgroundThe Oxford Handbook of the Mental Lexicon
Anna Papafragou, A., Trueswell, J. C., & Gleitman, L. R. (2022) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780198845003.001.0001 · Cited by 82
Simultaneous Acquisition of Multiple Auditory–Motor Transformations in Speech
Rochet‐Capellan, A., & Ostry, D. J. (2011) · Journal of Neuroscience · doi:10.1523/jneurosci.6020-10.2011 · Cited by 79
“The results are inconsistent with the hypothesis that sensorimotor adaptation in speech occurs by altering a global predictive model that is shared by the production control machinery for different movements (Houde and Jordan, 2002; Villacorta et al., 2007; Bohland et al., 2010).”
Modeling the Role of Sensory Feedback in Speech Motor Control and Learning
Parrell, B., & Houde, J. (2019) · Journal of Speech, Language, and Hearing Research · doi:10.1044/2019_jslhr-s-csmc7-18-0127 · Cited by 75
Herman, A. B., Houde, J. F., Vinogradov, S., & Nagarajan, S. S. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1472-12.2013 · Cited by 76
“The earlier more rostral peak in PTr and left insular cortex, synchronous with SMA activation, corresponds to the longer reaction time for four-syllable trials and could reflect the more complicated action selection required for framing and ordering the four-syllable utterance; the later more caudal load effect in POs…”
ResultSpeech dynamics are coded in the left motor cortex in fluent speakers but not in adults who stutter
Neef, N. E., Hoang, T. N. L., Neef, A., Paulus, W., & Sommer, M. (2015) · Brain · doi:10.1093/brain/awu390 · Cited by 74
“An uncoupling of motor output cells from motor plan cells would allow the system to prepare subsequent sensorimotor programs while a former program is executed (Bohland et al., 2010).”
BackgroundMethodResultInfluentialCurrent models of speech motor control: A control-theoretic overview of architectures and properties
Parrell, B., Lammert, A. C., Ciccarelli, G. A., & Quatieri, T. F. (2019) · The Journal of the Acoustical Society of America · doi:10.1121/1.5092807 · Cited by 88
“…planning components have not been the focus of the current review, some of the models (notably DIVA and TD) also include computational implementations of the planner (Bohland et al. , 2010; Saltzman et al. , 2008) that operates between the higher-level linguistic processes and the controller (Fig.”
BackgroundNeef, N. E., Bütfering, C., Anwander, A., Friederici, A. D., Paulus, W., & Sommer, M. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.08.030 · Cited by 78
“This notion is supported by theories and models postulating left area 44 to be one of the core cortical hubs in the network of speechplanning-related operations (Bohland et al., 2009; Flinker et al., 2015; Guenther and Hickok, 2015).”
Kell, C. A., Neumann, K., Behrens, M., von Gudenberg, A. W., & Giraud, A. (2017) · Journal of Fluency Disorders · doi:10.1016/j.jfludis.2017.02.001 · Cited by 72
Typing is writing: Linguistic properties modulate typing execution
Pinet, S., Ziegler, J. C., & Alario, F. ‐. (2016) · Psychonomic Bulletin & Review · doi:10.3758/s13423-016-1044-3 · Cited by 72
“Given the current interest in understanding motor planning (e.g. pre-motor, motor, monitoring, etc.) in the context of language production (for speech, see e.g., Bohland, Bullock, & Guenther, 2010; Hickok, 2014), such a separation seems no longer tenable.”
BackgroundSensorimotor Oscillations Prior to Speech Onset Reflect Altered Motor Networks in Adults Who Stutter
Mersov, A., Jobst, C., Cheyne, D. O., & Nil, L. D. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00443 · Cited by 69
“The authors proposed that AWS lack sufficient sensorymotor planning of speech gestures in a region of the motor cortex that is a key player in establishing such programs (Bohland et al., 2010; Guenther and Vladusich, 2012; Neef et al., 2015).”
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“, 2011); 3) identified as an input region that receives cortical efference copies of motor planning from the motor cortex that allows timely initiation and termination of speech sound sequences, posited to be deficient in a neuro-computational model of stuttering (Bohland et al., 2010; Civier et al., 2013).”
BackgroundA Psycholinguistic Framework for Diagnosis and Treatment Planning of Developmental Speech Disorders
Terband, H., Maassen, B., & Maas, E. (2019) · Folia Phoniatrica et Logopaedica · doi:10.1159/000499426 · Cited by 76
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“To address the higher-level mechanisms involved in bu ff ering and sequencing through longer speech utterances, we developed the GODIVA model in 2010 (Bohland et al., 2010).”
MethodA Comprehension- or a Production-Based Monitor? Response to Roelofs (2020)
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The dual stream model of speech and language processing
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Anomalous morphology in left hemisphere motor and premotor cortex of children who stutter
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Impaired motor speech performance in Huntington’s disease
Skodda, S., Schlegel, U. S., Hoffmann, R., & Carsten Saft, C. (2013) · Journal of Neural Transmission · doi:10.1007/s00702-013-1115-9 · Cited by 63
“The integrity of these subcortical networks seems to be essential for the smooth activities of basal speech motor programs ensuring timely, rapid and coordinated movements (e.g. Wildgruber et al. 2001; Bohland et al. 2010).”
BackgroundCarey, D., Krishnan, S., Callaghan, M. F., Sereno, M. I., & Dick, F. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhw393 · Cited by 63
“computational processes involved in sequencing articulator movements, which form a requisite mechanism of speech production (Guenther 2006; Bohland et al. 2010; Cogan et al. 2014; Simmonds et al. 2014).”
BackgroundA Role for the Frontal Aslant Tract in Speech Planning: A Neurosurgical Case Study
Chernoff, B. L., Teghipco, A., Garcea, F. E., Sims, M. H., Paul, D. A., Tivarus, M. E., Smith, S. O., Pilcher, W. H., & Mahon, B. Z. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01244 · Cited by 62
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“, 2020), has further motivated finergrained distinctions in the function of this tract into mapping phonological codes onto abstract motor plans (Bohland et al., 2010; Miller and Guenther, 2021) vs.”
BackgroundAlm, P. A. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.661880 · Cited by 65
From blueprints to brain maps: the status of the Lemma Model in cognitive neuroscience
Kemmerer, D. L. (2018) · Language Cognition and Neuroscience · doi:10.1080/23273798.2018.1537498 · Cited by 60
Knowns and unknowns about the neurobiology of stuttering
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“It is almost certainly the case that higher-order brain areas (e.g., Broca’s area, supplementary motor area) contain more invariant representations than those found here for vSMC (Bohland and Guenther, 2006; Bohland et al., 2010).”
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Developmental stuttering and the role of the supplementary motor cortex
Busan, P. (2020) · Journal of Fluency Disorders · doi:10.1016/j.jfludis.2020.105763 · Cited by 52
Feedforward and Feedback Control in Apraxia of Speech: Effects of Noise Masking on Vowel Production
Maas, E., Mailend, M., & Guenther, F. H. (2015) · Journal of Speech Language and Hearing Research · doi:10.1044/2014_jslhr-s-13-0300 · Cited by 53
“The SSM cells represent speech sounds (which may range in size from phonemes to syllables to frequent words and phrases) and are presumed to be activated by higher level input from the phonological encoding stage (Bohland, Bullock, & Guenther, 2010; Guenther et al., 2006).”
Anticipation in stuttering: A theoretical model of the nature of stutter prediction
García-Barrera, M. A., & Davidow, J. H. (2015) · Journal of Fluency Disorders · doi:10.1016/j.jfludis.2015.03.002 · Cited by 58
Altered functional connectivity in persistent developmental stuttering
Yang, Y., Jia, F., Siok, W. T., & Tan, L. H. (2016) · Scientific Reports · doi:10.1038/srep19128 · Cited by 57
Chernoff, B. L., Sims, M. H., Smith, S. O., Pilcher, W. H., & Mahon, B. Z. (2019) · Cognitive Neuropsychology · doi:10.1080/02643294.2019.1619544 · Cited by 53
Towards a New Model of Verbal Monitoring
Gauvin, H. S., & Hartsuiker, R. J. (2020) · Journal of Cognition · doi:10.5334/joc.81 · Cited by 48
Neural Models of Motor Speech Control
Guenther, F. H., & Hickok, G. S. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407794-2.00058-4 · Cited by 58
Silver, M. R., Grossberg, S., Bullock, D. H., Histed, M. H., & Miller, E. K. (2011) · Neural Networks · doi:10.1016/j.neunet.2011.10.004 · Cited by 45
“Some CQmodels have incorporated rank information (Bohland et al., 2010; Bradski et al., 1994).”
Venezia, J. H., Fillmore, P., Matchin, W., Isenberg, A. L., Hickok, G. S., & Fridriksson, J. (2015) · NeuroImage · doi:10.1016/j.neuroimage.2015.11.038 · Cited by 46
“The caudate is part of the basal ganglia, a group of subcortical regions theorized to be crucial for sequencing and timing in speech production (Bohland et al., 2010; Fridriksson et al., 2005; Guenther, 2006; Lu et al., 2010a, 2010b; Pickett et al., 1998; Stahl et al., 2011), while the left IFG and cingulate cortex ar…”
BackgroundDisrupted functional connectivity in primary progressive apraxia of speech
Botha, H., Utianski, R. L., Whitwell, J. L., Duffy, J. R., Clark, H. M., Strand, E. A., Machulda, M. M., Tosakulwong, N., Knopman, D. S., Petersen, R. C., et al. (2018) · NeuroImage Clinical · doi:10.1016/j.nicl.2018.02.036 · Cited by 49
“…in many motor and non-motor systems, with different regions being involved in time coding (Mita et al., 2009) and temporal processing (Kotz and Schwartze, 2011), sequencing(Sohn and Lee, 2007), gating (Bohland et al., 2010), and so on, culminating in successful “motor planning” (Li et al., 2016).”
Chesters, J., Watkins, K. E., & Möttönen, R. (2017) · Brain and Language · doi:10.1016/j.bandl.2016.10.003 · Cited by 39
Speech and nonspeech: What are we talking about?
Maas, E. (2016) · International Journal of Speech-Language Pathology · doi:10.1080/17549507.2016.1221995 · Cited by 48
Metzger, F. L., Auer, T., Helms, G., Paulus, W., Frahm, J., Sommer, M., & Neef, N. E. (2017) · Brain Structure and Function · doi:10.1007/s00429-017-1476-1 · Cited by 43
Puyjarinet, F., Bégel, V., Gény, C., Driss, V., Cuartero, M., Kotz, S. A., Pinto, S., & Bella, S. D. (2019) · npj Parkinson s Disease · doi:10.1038/s41531-019-0092-6 · Cited by 43
Subthalamic Nucleus Neurons Differentially Encode Early and Late Aspects of Speech Production
Lipski, W. J., Alhourani, A., Pirnia, T., Jones, P., Dastolfo‐Hromack, C., Helou, L. B., Crammond, D. J., Shaiman, S., Dickey, M. W., Holt, L. L., et al. (2018) · Journal of Neuroscience · doi:10.1523/jneurosci.3480-17.2018 · Cited by 43
“These findings also can be interpreted in the context of the GODIVA model (Bohland et al., 2010) of speech production.”
BackgroundGrossberg, S., & Kazerounian, S. (2016) · The Journal of the Acoustical Society of America · doi:10.1121/1.4946760 · Cited by 41
“Some Item-and-Order models incorpo536 rated rank information (e.g., Bohland et al., 2010; Bradski 537 et al., 1994).”
BackgroundMethodBerisha, V., & Liss, J. M. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01199-1 · Cited by 41
“There are several extant speech production models, each developed to accomplish different goals (see, for example 51 – 55 ).”
BackgroundStuttering severity modulates effects of non-invasive brain stimulation in adults who stutter
Garnett, E. O., Chow, H. M., Choo, A. L., & Chang, S.-E. (2019) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2019.00411 · Cited by 39
“…through the modulation of cellular-level changes, including sodium and calcium-dependent channels and NMDA receptor activity, thereby promoting long-term potentiation/depression (LTP/LTD) like effects (Stagg et al., 2009; Fritsch et al., 2010; Bolognini et al., 2011; Stagg and Nitsche, 2011).”
BackgroundHyperdirect connectivity of opercular speech network to the subthalamic nucleus
Jorge, A., Lipski, W. J., Wang, D., Crammond, D. J., Turner, R. S., & Richardson, R. M. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.110477 · Cited by 41
“Among models of speech motor control, only state feedback control models (Houde and Nagarajan, 2011) (Bohland et al., 2010) devote significant attention to the function of basal ganglia-thalamocortical loops.”
Speech Production From a Developmental Perspective
Redford, M. A. (2019) · Journal of Speech Language and Hearing Research · doi:10.1044/2019_jslhr-s-csmc7-18-0130 · Cited by 43
“Importantly, the goals remain nonoverlapping even in high-frequency combinations when, through repeated practice, they may be stored together as part of a larger chunk (see, e.g., Bohland et al., 2010, p. 1505).”
BackgroundVanhoutte, S., Santens, P., Cosyns, M., van Mierlo, P., Batens, K., Corthals, P., Letter, M. D., & Borsel, J. V. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.05.013 · Cited by 38
“The GODIVA (Gradient Order Directions Into Velocities of Articulators) model, an extension of the DIVA model (Guenther, 2006) provides an explanation on how speech movements are selected, sequenced and initiated (Bohland et al., 2010).”
MethodBrocklehurst, P. H., Lickley, R. J., & Corley, M. M. B. (2013) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2013.04.002 · Cited by 37
Mapping articulatory and grammatical subcomponents of fluency deficits in post-stroke aphasia
Mirman, D., Kraft, A. E., Harvey, D. Y., Brecher, A. R., & Schwartz, M. F. (2019) · Cognitive Affective & Behavioral Neuroscience · doi:10.3758/s13415-019-00729-9 · Cited by 37
Structural brain differences in school-age children with residual speech sound errors
Preston, J. L., Molfese, P. J., Mencl, W. E., Frost, S. J., Hoeft, F., Fulbright, R. K., Landi, N., Grigorenko, E. L., Seki, A., Felsenfeld, S., et al. (2013) · Brain and Language · doi:10.1016/j.bandl.2013.11.001 · Cited by 45
The Neural Circuitry Underlying the “Rhythm Effect” in Stuttering
Frankford, S. A., Murray, E. S. H., Masapollo, M., Cai, S., Tourville, J. A., Nieto-Castañón, A., & Guenther, F. H. (2021) · Journal of Speech Language and Hearing Research · doi:10.1044/2021_jslhr-20-00328 · Cited by 38
Bridging planning and execution: Temporal planning of syllables
Mooshammer, C. R., Goldstein, L. M., Nam, H., McClure, S., Saltzman, E. L., & Tiede, M. (2012) · Journal of Phonetics · doi:10.1016/j.wocn.2012.02.002 · Cited by 35
“Two of these models that have paid some attention to this issue, however, are the GODIVA model (Bohland et al., 2009) and the WEAVERþþ model (Levelt et al., 1999).”
MethodA Dynamical Model of Hierarchical Selection and Coordination in Speech Planning
Tilsen, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0062800 · Cited by 35
“A number of models with a similar activation-dependent selection mechanism have been developed [6,43,44].”
BackgroundCarey, D., Miquel, M. E., Evans, B. G., Adank, P., & McGettigan, C. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx056 · Cited by 32
“Speech imitation is a complex and multistage process that requires the interaction of both sensory and motor systems, such that acoustic inputs can be processed, transformed to target motor outputs, and articulated as speech (see Guenther 2006; Bohland et al. 2010; Guenther and Vladusich 2012).”
BackgroundStructural brain aging and speech production: a surface-based brain morphometry study
Tremblay, P., & Deschamps, I. (2015) · Brain Structure and Function · doi:10.1007/s00429-015-1100-1 · Cited by 35
Tilsen, S., Spincemaille, P., Xu, B., Doerschuk, P. C., Luh, W., Feldman, E., & Wang, Y. (2016) · PLoS ONE · doi:10.1371/journal.pone.0146813 · Cited by 32
“In the GODIVA model [1], segments organize speech movements and segments are competitively selected to fill syllable positions, which may in turn influence parameters relating to the control of articulation.”
MethodTutorial: Speech Motor Chaining Treatment for School-Age Children With Speech Sound Disorders
Preston, J. L., Leece, M. C., & Storto, J. (2019) · Language Speech and Hearing Services in Schools · doi:10.1044/2018_lshss-18-0081 · Cited by 32
Recovery of Apraxia of Speech and Aphasia in Patients With Hand Motor Impairment After Stroke
Hybbinette, H., Schalling, E., Plantin, J., Nygren-Deboussard, C., Schütz, M., Östberg, P., & Lindberg, P. G. (2021) · Frontiers in Neurology · doi:10.3389/fneur.2021.634065 · Cited by 35
“, the Gradient Order DIVA (GODIVA) model (77, 78), which includes both feed-forward and feedback processes.”
MethodArenas, R. M. (2016) · Speech Language and Hearing · doi:10.1080/2050571x.2016.1221877 · Cited by 33
“In most models of speech production, the contrasting activation between competing motor plans results primarily from linguistic and/or speech motor parameters exclusively within the speech production system (e.g. Bohland et al., 2010; Guenther et al., 2006; Roelofs, 1997).”
BackgroundMethodTractography of supplementary motor area projections in progressive speech apraxia and aphasia
Carbó, A. V., Reid, R. I., Tosakulwong, N., Weigand, S. D., Duffy, J. R., Clark, H. M., Utianski, R. L., Botha, H., Machulda, M. M., Strand, E. A., et al. (2022) · NeuroImage Clinical · doi:10.1016/j.nicl.2022.102999 · Cited by 32
“, 2018) and may play a role in many motor and non-motor tasks controlling sequencing (Sohn and Lee, 2007), gating (Bohland et al., 2010) and motor planning (Li et al.”
BackgroundNeural sensitivity to syllable frequency and mutual information in speech perception and production
Tremblay, P., Deschamps, I., Baroni, M., & Hasson, U. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.05.018 · Cited by 31
“Several neurobiological and computational models assume that the syllable is a basic sublexical unit for speech processing and production (e.g., Bohland et al., 2010; Guenther & Vladusich, 2012; Guenther et al., 2006; Levelt, 1999; MacNeilage, 1998).”
Grossberg, S. (2018) · Brain and Neuroscience Advances · doi:10.1177/2398212818772179 · Cited by 31
“After Grossberg (1978a, 1978b) introduced the Item-and-Order model, it was used in various forms in a number of other studies (e.g. Boardman and Bullock, 1991; Bohland et al., 2010; Bradski et al., 1994; Bullock and Rhodes, 2003; Grossberg and Pearson, 2008; Houghton, 1990; Page and Norris, 1998).”
MethodBarrès, V., Simons, A., & Arbib, M. A. (2012) · Neural Networks · doi:10.1016/j.neunet.2012.09.021 · Cited by 29
Motor-Timing and Sequencing in Speech Production
Kotz, S. A., & Schwartze, M. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407794-2.00057-2 · Cited by 32
Mapping the cortical representation of speech sounds in a syllable repetition task
Markiewicz, C. J., & Bohland, J. W. (2016) · NeuroImage · doi:10.1016/j.neuroimage.2016.07.023 · Cited by 35
“The GODIVA model [10] posits the existence of parallel phonological output buffers in the left inferior frontal sulcus (IFs) and pre-supplementary motor area (pre-SMA), with the left IFs serving to encode phonemic sequences and the pre-SMA representing abstract syllable frames [see also 72].”
InfluentialThe Role of Sensory Feedback in Developmental Stuttering: A Review
Bradshaw, A. R., Lametti, D. R., & McGettigan, C. (2021) · Neurobiology of Language · doi:10.1162/nol_a_00036 · Cited by 33
“Instead, this perturbation is more likely to disrupt the proper generation of timing cues by the basal ganglia as outlined in the GODIVA account (Bohland et al., 2010); that is, since audi-”
BackgroundMethod
Metadata
- Authors
- Bohland, J. W., Bullock, D., & Guenther, F. H.
- Affiliations
- Cold Spring Harbor Laboratory (US)
- Boston University (US)
- Venue
- Journal of Cognitive Neuroscience
- Publisher
- MIT Press
- Published
- 2010-07-01
- Volume
- 22
- Issue
- 7
- Pages
- 1504-1529
- ISSN
- 0898-929X (ISSN-L)
- 1530-8898
- PMC
- PMC2937837
- OpenAlex
- W2114774561
- Cited by
- 393
- References
- 158
- Citations by year
- 2026: 21 · 2025: 26 · 2024: 29 · 2023: 33 · 2022: 64 · 2021: 15 · 2020: 22 · 2019: 40 · 2018: 18 · 2017: 26 · 2016: 19 · 2015: 23 · 2014: 16 · 2013: 18 · 2012: 10
- FWCI
- 3.72
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of Cognitive Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion)
- Funders
- National Science Foundation (0354378)
- National Institutes of Health (NIH-R01, DC002852)
- National Institute on Deafness and Other Communication Disorders (R01DC002852, R01DC007683)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Social Sciences › Psychology › Developmental and Educational Psychology › Language Development and Disorders
- Keywords
- speech production, phonological planning, sequence planning, DIVA model, serial order, basal ganglia, thalamus
- MeSH terms
- Basal Ganglia, Computer Simulation, Frontal Lobe, Models, Neurological, Neural Pathways, Phonetics, Psychomotor Performance, Speech, Thalamus
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