Distinct representations of phonemes, syllables, and supra-syllabic sequences in the speech production network
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Functional neuroimaging studies have converged on a core network of brain regions that supports speech production, but the sublexical processing stages performed by the different parts of this network remain unclear. Using an fMRI adaptation paradigm and quantitative analysis of patterns of activation rather than contrast subtractions alone, we were able to identify a set of neural substrates predominantly engaged in phonemic, syllabic, and supra-syllabic levels of processing during speech. Phoneme-level processes were found in the left SMA, pallidum, posterior superior temporal gyrus, and superior lateral cerebellum. Syllable-level processes were found in the left ventral premotor cortex, and supra-syllabic processes related to phonological chunking were found in the right superior lateral cerebellum. Active regions that were not sensitive to sublexical manipulations included primary motor and auditory cortical areas, and medial cerebellum. These results offer a quantitative technique for localizing sublexical neural processes that are difficult to dissociate using non-invasive imaging techniques and provide the beginnings of a "brain map" for language output.
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The left ventral premotor cortex is associated with generating the motor acts related to speech sounds, nonspeech sounds, and orofacial movements not associated with sound production.
“while the left ventral premotor cortex was associated with generating the motor acts related to speech sounds (Ghosh et al., 2008; Peeva et al., 2010), nonspeech sounds (Chang et al., 2009) and orofacial movements such as tongue protrusion and lip pursing that are not associated with sound production (Price et al., 2011).”
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 Peeva et al., 2010
The inhibitory role of the pre-SMA may explain greater pre-SMA activation for volitional relative to stimulus-driven mouth movements and for production of unfamiliar speech sounds.
“The inhibitory role for the pre-SMA may explain why activation was found to be greater for volitional relative to stimulus driven mouth movements (Tremblay and Gracco, 2010) because selecting the correct response (in volitional mouth movements) requires competing responses to be inhibited. It may also explain the numerous reports that pre-SMA activation is greater for the production of unfamiliar”
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 Peeva et al., 2010
Activation related to articulation is located in lobule VI/Crus I of the bilateral medial superior posterior cerebellum.
“In the bilateral medial superior posterior cerebellum, activation related to articulation was located in lobule VI/Crus I (Stoodley and Schmahmann, 2009, 2010; Peeva et al., 2010; Durisko and Fiez, 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 Peeva et al., 2010
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“Functional imaging studies have shown that overt word repetition activates motor and premotor cortices bilaterally (Petersen et al., 1988, 1989; Palmer et al., 2001; Peeva et al., 2010; Cogan et al., 2014).”
Putting an “End” to the Motor Cortex Representations of Action Words
de Zubicaray, G. I., Arciuli, J., & McMahon, K. L. (2013) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00437 · Cited by 71 · see citing works
“…aloud vs. baseline −2 6 60 60 – Papoutsi et al., 2009 Di- and quadrisyllabic Silent and aloud repetition following auditory presentation −56 −4 44 100 20 −4 10 68 60 – −52 2 40 20 – −4 14 58 30 – Peeva et al., 2010 Disyllabic Repetition of reading reordered and resyllabified stimuli −52 −8 32 –…”
Tremblay, P., & Small, S. L. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.05.067 · Cited by 70 · see citing works
“…study is that, during speech production, the left PMv is modulated by articulatory complexity, operationalized here as syllable complexity, consistent with recent finding of syllable-level processing in this region (Peeva et al., 2010), while, during speech perception, no such modulation was found.”
Single-neuronal elements of speech production in humans
Khanna, A. R., Muñoz, W., Kim, Y. J., Kfir, Y., Paulk, A. C., Jamali, M., Cai, J., Mustroph, M. L., Caprara, I., Hardstone, R., et al. (2024) · Nature · doi:10.1038/s41586-023-06982-w · Cited by 66 · see citing works
“…were obtained from the posterior middle frontal gyrus 10,46–50 in a region known to be broadly involved in word planning 3–12 and sentence construction 13–16 and to connect with neighbouring motor areas shown to play a role in articulation 17–19 and lexical processing 51–53 (Extended Data Fig.”
BackgroundResponse-Locked Brain Dynamics of Word Production
Riès, S., Janssen, N., Burle, B., & Alario, F. ‐. (2013) · PLoS ONE · doi:10.1371/journal.pone.0058197 · Cited by 64 · see citing works
“, [21,80]; see [3] for a review) and MEG studies of picture naming [77] (see also [5,81] for meta-analyses).”
BackgroundCarey, D., Krishnan, S., Callaghan, M. F., Sereno, M. I., & Dick, F. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhw393 · Cited by 63 · see citing works
Phonological Working Memory for Words and Nonwords in Cerebral Cortex
Perrachione, T. K., Ghosh, S., Ostrovskaya, I., Gabrieli, J. D. E., & Kovelman, I. (2017) · Journal of Speech Language and Hearing Research · doi:10.1044/2017_jslhr-l-15-0446 · Cited by 63 · see citing works
“…present study, appear to be largely the same as those identified by other studies of speech and language as supporting core phonological processing (e.g., Graves, Grabowski, Mehta, & Gupta, 2008; McGettigan et al., 2011; Peeva et al., 2010; 1959–1979 • July 2017 Wilson, Isenberg, & Hickok, 2009).”
BackgroundResultA 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 61 · see citing works
de Zubicaray, G. I., Miozzo, M., Johnson, K., Schiller, N. O., & McMahon, K. L. (2011) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00141 · Cited by 62 · see citing works
“…regions associated previously with articulatory motor and verbal self-monitoring mechanisms in spoken word production, including the medial (SMA/pre-SMA) and lateral premotor cortex and left pSTG (e.g., Peeva et al., 2010; Tremblay & Gracco, 2009; Alario et al., 2006; Indefrey & Levelt, 2004).”
BackgroundMethodInfluentialAlm, P. A. (2021) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2021.661880 · Cited by 59 · see citing works
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 58 · see citing works
“In another fMRI study, Peeva et al. (2010) took advantage of the repetition suppression technique to further illuminate the cortical underpinnings of phonetic encoding.”
MethodThe neurobiology of speech perception decline in aging
Bilodeau‐Mercure, M., Lortie, C. L., Sato, M., Guitton, M. J., & Tremblay, P. (2014) · Brain Structure and Function · doi:10.1007/s00429-013-0695-3 · Cited by 57 · see citing works
“…is also active during syllable perception and production (Tremblay and Small 2011c; Bohland and Guenther 2006; Ghosh et al. 2008), word production (Peeva et al. 2010) as well as sentence listening and repetition (Tremblay and Small 2011a), suggesting that it is part of the core speech…”
InfluentialVandermosten, M., Poelmans, H., Sunaert, S. G., Ghesquière, P., & Wouters, J. M. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.07.008 · Cited by 58 · see citing works
The Neural Basis of Vocal Pitch Imitation in Humans
Belyk, M., Pfordresher, P. Q., Mario Liotti, A., & Brown, S. (2015) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00914 · Cited by 55 · see citing works
“The putamen is activated by pseudoword repetition (Peeva et al., 2010), and the level of activation in the putamen decreases with practice (Rauschecker et al., 2008), consistent with a transition from motor learning to motor program retrieval and the possible continued involvement of the BG in…”
Bürki, A., Cheneval, P. P., & Laganaro, M. (2015) · Brain and Language · doi:10.1016/j.bandl.2015.08.006 · Cited by 54 · see citing works
Quantification of motor speech impairment and its anatomic basis in primary progressive aphasia
Cordella, C., Quimby, M., Touroutoglou, A., Brickhouse, M., Dickerson, B. C., & Green, J. R. (2019) · Neurology · doi:10.1212/wnl.0000000000007367 · Cited by 49 · see citing works
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 49 · see citing works
Hartwigsen, G., Saur, D., Price, C. J., Baumgaertner, A., Ulmer, S., & Siebner, H. R. (2012) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_00342 · Cited by 40 · see citing works
Li, R., Qin, W., Zhang, Y., Jiang, T., & Yu, C. (2012) · PLoS ONE · doi:10.1371/journal.pone.0031877 · Cited by 42 · see citing works
A human brain atlas derived via n-cut parcellation of resting-state and task-based fMRI data
James, G. A., Hazaroglu, O., & Bush, K. (2015) · Magnetic Resonance Imaging · doi:10.1016/j.mri.2015.10.036 · Cited by 40 · see citing works
Age differences in the motor control of speech: An fMRI study of healthy aging
Tremblay, P., Sato, M., & Deschamps, I. (2017) · Human Brain Mapping · doi:10.1002/hbm.23558 · Cited by 40 · see citing works
“…these changes would occur within the neural system supporting speech production, including the SMA, the striatum, the cerebellum, the ventral M1 and the premotor cortex (PMv) [Bohland and Guenther, 2006; Ghosh et al., 2008; Peeva et al., 2010; Tremblay et al., 2013a; Tremblay and Small, 2011].”
BackgroundManes, J. L., Parkinson, A. L., Larson, C. R., Greenlee, J. D. W., Eickhoff, S. B., Corcos, D. M., & Robin, D. A. (2013) · Human Brain Mapping · doi:10.1002/hbm.22417 · Cited by 39 · see citing works
“For instance, it has been proposed that connections between SMA and GPi comprise a BG-thalamocortical loop involved in initiating motor programs at the phonemic level [Peeva et al., 2010].”
The neuroanatomy of speech sequencing at the syllable level
Rong, F., Isenberg, A. L., Sun, E., & Hickok, G. S. (2018) · PLoS ONE · doi:10.1371/journal.pone.0196381 · Cited by 39 · see citing works
Dutch-Cantonese Bilinguals Show Segmental Processing during Sinitic Language Production
Timmer, K., & Chen, Y. (2017) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.01133 · Cited by 38 · see citing works
“…by Indefrey and Levelt (2004) and Indefrey (2011). fMRI evidence with Mandarin speakers also argued for the distinctive neural representations of phonemes and syllables (Yu et al., 2015; see also findings in Peeva et al., 2010 on distinct activation patterns for phoneme and syllable in French).”
BackgroundHow much is a word? Predicting ease of articulation planning from apraxic speech error patterns
Ziegler, W., & Aichert, I. (2015) · Cortex · doi:10.1016/j.cortex.2015.04.001 · Cited by 37 · see citing works
Cognitive-motor brain–machine interfaces
Tankus, A., Fried, I., & Shoham, S. (2013) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2013.05.005 · Cited by 35 · see citing works
Heim, S., Keil, A., Choudhury, N. A., Friedman, J. T., & BENASICH, A. A. (2013) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2013.01.011 · Cited by 36 · see citing works
“Remediation based on neural plasticity assumes that the temporal precision of neural coding can be improved by intensive training protocols.”
BackgroundAglieri, V., Cagna, B., Velly, L. J., Takerkart, S., & Belin, P. (2021) · Scientific Reports · doi:10.1038/s41598-020-79922-7 · Cited by 36 · see citing works
On Curiosity: A Fundamental Aspect of Personality, a Practice of Network Growth
Zurn, P., & Bassett, D. S. (2018) · Personality Neuroscience · doi:10.1017/pen.2018.3 · Cited by 34 · see citing works
“The units of language span from small phonemes through syllables to words, and each scale at which such network nodes can be defined has a distinct representation in the human cortex (Peeva et al., 2010).”
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 33 · see citing works
Meekings, S., & Scott, S. K. (2020) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01661 · Cited by 32 · see citing works
“phoneme production, syllable production, and phonological chunking processes recruit spatially distinct networks (Peeva et al., 2010).”
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 · see citing works
“…of a role for syllables in speech comprehension and production, neuroimaging studies suggest an abstract representation of syllables that is independent of their particular acoustic features (Brendel et al., 2011; Evans & Davis, 2015; Otaka et al., 2008; Peeva et al., 2010; Siok et al., 2003).”
Fedorenko, E. G., Fillmore, P., Smith, K., Bonilha, L., & Fridriksson, J. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00214.2014 · Cited by 29 · see citing works
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 30 · see citing works
“The adjacent ventral premotor cortex (vPMC) has been implicated in phonetic encoding specifically at the level of syllables [94], and may function as a neural correlate of a mental syllabary [68] or Speech Sound Map [46], storing sensorimotor programs for well-practiced sounds.”
Phonological Feature Repetition Suppression in the Left Inferior Frontal Gyrus
Okada, K., Matchin, W., & Hickok, G. S. (2018) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01287 · Cited by 29 · see citing works
Parrell, B., Kim, H. E., Breska, A., Saxena, A., & Ivry, R. B. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.0739-21.2021 · Cited by 26 · see citing works
White matter impairment in the speech network of individuals with autism spectrum disorder
Peeva, M. G., Tourville, J. A., Agam, Y., Holland, B., Manoach, D. S., & Guenther, F. H. (2013) · NeuroImage Clinical · doi:10.1016/j.nicl.2013.08.011 · Cited by 25 · see citing works
A verbal strength in children with Tourette syndrome? Evidence from a non-word repetition task
Dye, C. D., Walenski, M., Mostofsky, S. H., & Ullman, M. T. (2016) · Brain and Language · doi:10.1016/j.bandl.2016.07.005 · Cited by 26 · see citing works
“Importantly, this also holds for non-word repetition and related tasks (Kalm & Norris, 2014; Liegeois, Morgan, Connelly, & Vargha-Khadem, 2011; Papoutsi et al., 2009; Peeva et al., 2010; Strand, Forssberg, Klingberg, & Norrelgen, 2008).”
Neurobiology of Speech Production
Tremblay, P., Deschamps, I., & Gracco, V. L. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407794-2.00059-6 · Cited by 24 · see citing works
Functional Parcellation of the Speech Production Cortex
Tourville, J. A., Nieto-Castañón, A., Heyne, M., & Guenther, F. H. (2019) · Journal of Speech Language and Hearing Research · doi:10.1044/2019_jslhr-s-csmc7-18-0442 · Cited by 22 · see citing works
“…key functional divisions in the cortical speech motor network based on neuroimaging and physiological mapping studies (Tourville & Guenther, 2012; see Peeva et al., 2010; Cai et al., 2014, for examples of the application of this cortical labeling system in the analysis of speech neuroimaging data).”
BackgroundSocial perspective-taking shapes brain hemodynamic activity and eye movements during movie viewing
Bacha‐Trams, M., Ryyppö, E., Glerean, E., Sams, M. E., & Jääskeläinen, I. P. (2020) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsaa033 · Cited by 24 · see citing works
Kittilstved, T., Reilly, K. J., Harkrider, A. W., Casenhiser, D. M., Thornton, D. M., Jenson, D. E., Hedinger, T., Bowers, A. L., & Saltuklaroglu, T. (2018) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2018.00126 · Cited by 22 · see citing works
“While feedforward control for speech is primarily a left hemisphere dominant function (Ghosh et al., 2008; Peeva et al., 2010), feedback control for speech exhibits a right hemisphere dominance (Riecker et al.”
BackgroundSpoken sentences decoding based on intracranial high gamma response using dynamic time warping
Zhang, D., Gong, E., Wu, W., Lin, J., Zhou, W., & Hong, B. (2012) · Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) · doi:10.1109/embc.2012.6346668 · Cited by 20 · see citing works
Fronto-Parietal Contributions to Phonological Processes in Successful Artificial Grammar Learning
Goranskaya, D., Kreitewolf, J., Mueller, J. L., Friederici, A. D., & Hartwigsen, G. (2016) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2016.00551 · Cited by 20 · see citing works
Functional Topography of the Human Cerebellum Revealed by Functional Neuroimaging Studies
Stoodley, C. J., Desmond, J. E., & Schmahmann, J. D. (2012) · Springer eBooks · doi:10.1007/978-94-007-1333-8_30 · Cited by 18 · see citing works
Argyropoulos, G. P. D., Watkins, K. E., Pagnamenta, E., Liegeois, F. J., Saleem, K. S., Mishkin, M., & Vargha‐Khadem, F. (2018) · The Cerebellum · doi:10.1007/s12311-018-0989-3 · Cited by 18 · see citing works
The ‘reading’ brain: Meta-analytic insight into functional activation during reading in adults
Turker, S., Fumagalli, B., Kuhnke, P., & Hartwigsen, G. (2025) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2025.106166 · Cited by 21 · see citing works
“…pseudowords, which could explain a higher reliance upon phonological systems in the left IFG (Riecker et al., 2008) and the ventral premotor cortex (Peeva et al., 2010), and a larger reliance on orthographic processing, instead of semantic areas as required by word reading (e.g., inferior frontal…”
Kim, T.-K., Lee, J., Choi, H., Lee, H.-J., Kim, I. Y., & Jang, D. P. (2013) · International IEEE/EMBS Conference on Neural Engineering · doi:10.1109/ner.2013.6695869 · Cited by 17 · see citing works
“Giving the patients an opportunity, several groups have been proving that it is feasible to recognize not only normal speech but also unspoken speech in fMRI [3], E E G [4] and more recently it has been suggested that intracranial EEG(electrocorticography, ECoG) could be a suitable candidate toward building speech BCI…”
BackgroundNot single brain areas but a network is involved in language: Applications in presurgical planning
Alemi, R., Batouli, S. A. H., Behzad, E., Ebrahimpoor, M., & Oghabian, M. A. (2018) · Clinical Neurology and Neurosurgery · doi:10.1016/j.clineuro.2018.01.009 · Cited by 17 · see citing works
Sequencing at the syllabic and supra-syllabic levels during speech perception: an fMRI study
Deschamps, I., & Tremblay, P. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00492 · Cited by 16 · see citing works
Yu, M., Mo, C., Li, Y., & Mo, L. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.08.027 · Cited by 15 · see citing works
“…for phoneme repetition (vs. non-repetition) in both whole brain and ROI analyses provide compelling evidence for the contribution of these regions to phonemic processing in Chinese production, which is consistent with previous studies (Booth, Wood, Lu, Houk, & Bitan, 2007; Peeva et al., 2010).”
InfluentialReilly, K. J., & Spencer, K. A. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077450 · Cited by 14 · see citing works
Roehrich-Gascon, D., Small, S. L., & Tremblay, P. (2015) · Brain and Language · doi:10.1016/j.bandl.2015.06.004 · Cited by 14 · see citing works
“…Blank, Scott, Murphy, Warburton, & Wise, 2002; Bohland, Bullock, & Guenther, 2010; Bohland & Guenther, 2006; Ghosh, Tourville, & Guenther, 2008; Peeva et al., 2010; Riecker, Wildgruber, Dogil, Grodd, & Ackermann, 2002; Riecker et al., 2005; Tremblay & Gracco, 2009; Tremblay & Gracco, 2010;…”
Shared premotor activity in spoken and written communication
Longcamp, M., Hupé, J., Ruiz, M. J., Vayssière, N., & Sato, M. (2019) · Brain and Language · doi:10.1016/j.bandl.2019.104694 · Cited by 13 · see citing works
“…it is usually thought to participate in the initiation of speech motor programs, internally specified action selection, inhibition and in higher superordinate planning functions (Alario, Chinay, Lehericy, & Cohen, 2006; Peeva et al., 2010; Tourville & Guenther, 2011; Tremblay & Gracco, 2006).”
BackgroundThe dynamic connectome of speech control
Valeriani, D., & Simonyan, K. (2021) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2020.0256 · Cited by 14 · see citing works
Cross-Modal Recruitment of Auditory and Orofacial Areas During Sign Language in a Deaf Subject
Martino, J., Velásquez, C., Vázquez-Bourgón, J., de Lucas, E. M., & Gómez, E. G. (2017) · World Neurosurgery · doi:10.1016/j.wneu.2017.05.170 · Cited by 13 · see citing works
Phonological network fluency identifies phonological restructuring through mental search
Neergaard, K. D., Luo, J., & Huang, C. (2019) · Scientific Reports · doi:10.1038/s41598-019-52433-w · Cited by 13 · see citing works
Psycho-acoustics inspired automatic speech recognition
Coro, G., Massoli, F. V., Origlia, A., & Cutugno, F. (2021) · Computers & Electrical Engineering · doi:10.1016/j.compeleceng.2021.107238 · Cited by 13 · see citing works
Functional Linguistic Topography of the Cerebellum
Stoodley, C. J., & Schmahmann, J. D. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-801608-4.00012-8 · Cited by 13 · see citing works
Neural Control of Speaking and Singing: The DIVA Model for SingingPreprint
Zuk, J., Loui, P., & Guenther, F. H. (2022) · doi:10.31234/osf.io/xqtc9 · Cited by 14 · see citing works
Speech sequencing in the human precentral gyrus
Liu, J. R., Zhao, L., Hullett, P. W., & Chang, E. F. (2025) · Nature Human Behaviour · doi:10.1038/s41562-025-02250-1 · Cited by 12 · see citing works
“Indeed, neuroimaging studies have found effects of speech sequencing, at the syllable level, in multiple cortical areas including the mPrCG 15,35 .”
Guenther, F. H., Tourville, J. A., & Bohland, J. W. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-397025-1.00265-7 · Cited by 12 · see citing works
Assessing dynamics, spatial scale, and uncertainty in task-related brain network analyses
Stephen, E. P., Lepage, K. Q., Eden, U. T., Brunner, P., Schalk, G., Brumberg, J. S., Guenther, F. H., & Kramer, M. (2014) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2014.00031 · Cited by 11 · see citing works
“…supplementary motor area, which contains neurons that initiate the readout of speech motor programs, and the ventral primary motor cortex, which contains neurons involved in generating commands to the articulatory musculature (Tourville et al., 2008; Peeva et al., 2010; Golfinopoulos et al., 2011).”
BackgroundAge related-changes in the neural basis of self-generation in verbal paired associate learning
Vannest, J. J., Maloney, T., Kay, B. P., Siegel, M. R., Allendorfer, J. B., Banks, C., Altaye, M., & Szaflarski, J. P. (2015) · NeuroImage Clinical · doi:10.1016/j.nicl.2015.02.006 · Cited by 11 · see citing works
“4A, cerebellum and pre/postcentral gyrus bilaterally (Damoiseaux et al., 2006; Golfinopoulos et al., 2010; Peeva et al., 2010) and 4F, anterior insula (Ackermann and Riecker, 2004), were also correlated negatively with the task.”
BackgroundLetter, M. D., Cocquyt, E., Cromheecke, O., Criel, Y., Cock, E. D., Herdt, V. D., Szmalec, A., & Duyck, W. (2021) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.553970 · Cited by 10 · see citing works
Consonant age of acquisition effects are robust in children's nonword repetition performance
Moore, M. W. (2018) · Applied Psycholinguistics · doi:10.1017/s014271641800005x · Cited by 10 · see citing works
“…previous functional magnetic resonance imaging research that has investigated the neural substrates involved in the speech production network (Peeva et al., 2010) or by utilizing the computational models that have attempted to model the different types of phonological knowledge…”
Reliability of single-subject neural activation patterns in speech production tasks
Frankford, S. A., Nieto-Castañón, A., Tourville, J. A., & Guenther, F. H. (2020) · Brain and Language · doi:10.1016/j.bandl.2020.104881 · Cited by 10 · see citing works
Functional Topography of the Human Cerebellum Revealed by Functional Neuroimaging Studies
Stoodley, C. J., Desmond, J. E., Guell, X., & Schmahmann, J. D. (2021) · Springer eBooks · doi:10.1007/978-3-030-23810-0_30 · Cited by 9 · see citing works
Functional Topography of the Human Cerebellum Revealed by Functional Neuroimaging Studies
Stoodley, C. J., Desmond, J. E., Guell, X., & Schmahmann, J. D. (2021) · Springer eBooks · doi:10.1007/978-3-319-97911-3_30-2 · Cited by 9 · see citing works
Adaptive phonemic coding in the listening and speaking brain
Grabski, K., & Sato, M. (2019) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107267 · Cited by 7 · see citing works
Reilly, K. J., & Spencer, K. A. (2013) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2013.00665 · Cited by 8 · see citing works
Neurobiology of Speech Production
Blumstein, S. E., & Baum, S. R. (2015) · Elsevier eBooks · doi:10.1016/b978-0-12-407794-2.00055-9 · Cited by 7 · see citing works
Marini, A. (2022) · Journal of Neuroscience Research · doi:10.1002/jnr.25096 · Cited by 7 · see citing works
“…and subcortical areas: phonetic encoding (SMA and left anterior insula; e.g., Dronkers, 1996; Carreiras et al., 2006); articulation (left precentral gyrus, left thalamus, basal ganglia, and dentate nucleus in the right cerebellar hemisphere; e.g., Peeva et al., 2010; Tettamanti et al., 2005).”
BackgroundNeural representations of the content and production of human vocalization
Voigtlaender, V. A., Sandhaeger, F., Hawellek, D. J., Hage, S. R., & Siegel, M. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2219310120 · Cited by 7 · see citing works
“4) with similar and broad frontocentral distributions that included M1, SMA, and Broca’s area (see SI Appendix , Fig.”
BackgroundMethodInfluentialGeva, S., Schneider, L. M., Roberts, S. M., Khan, S., Gajardo‐Vidal, A., Lorca‐Puls, D. L., PLORAS team, Hope, T. M. H., Green, D. W., & Price, C. J. (2021) · NeuroImage Clinical · doi:10.1016/j.nicl.2021.102820 · Cited by 7 · see citing works
“These results are in line with numerous previous studies of articulation (Bohland and Guenther, 2006; Correia et al., 2020; Peeva et al., 2010; Shuster and Lemieux, 2005), and a recent somatotopic mapping study of the cerebellum (Boillat et al.”
BackgroundResultInfluentialPhonemic auditory and somatosensory goals in speech production
Sato, M., Schwartz, J., & Perrier, P. (2013) · Language Cognition and Neuroscience · doi:10.1080/01690965.2013.849811 · Cited by 6 · see citing works
“Finally, it is worthwhile noting that weak or no differences of auditory responses were observed during vowel compared to syllable production using functional magnetic resonance imaging (e.g. Ghosh, Tourville, & Guenther, 2008; Peeva et al., 2010; Sörös et al., 2006).”
Szalárdy, O., Tóth, B., Farkas, D., Hajdu, B., Orosz, G., & Winkler, I. (2020) · Psychophysiology · doi:10.1111/psyp.13747 · Cited by 6 · see citing works
Weiss, A. R., Korzeniewska, A., Chrabaszcz, A. V., Bush, A., Fiez, J. A., Crone, N. E., & Richardson, R. M. (2022) · Neurobiology of Language · doi:10.1162/nol_a_00086 · Cited by 5 · see citing works
“…larger syllabic and supra-syllabic motor sequences that drive articulatory movements during speech, to the chunking of isolated movements into the action sequences that permit the achievement of particular articulatory goals (Bostan et al., 2010, 2013; Guenther & Hickok, 2015a; Peeva et al., 2010).”
Background
- Authors
- Peeva, M. G., Guenther, F. H., Tourville, J. A., Nieto-Castanon, A., Anton, J.-L., Nazarian, B., & Alario, F.-X.
- Affiliations
- Boston University (US)
- Centre National de la Recherche Scientifique (FR)
- Corresponding author
- Peeva, Maya G.
- Venue
- NeuroImage
- Publisher
- Elsevier BV
- Published
- 2010-04
- Volume
- 50
- Issue
- 2
- Pages
- 626-638
- ISSN
- 1053-8119 (ISSN-L)
- PMC
- PMC2840383
- OpenAlex
- W2022845221
- Cited by
- 135
- References
- 72
- Citations by year
- 2026: 5 · 2025: 5 · 2024: 6 · 2023: 2 · 2022: 6 · 2021: 9 · 2020: 6 · 2019: 7 · 2018: 14 · 2017: 5 · 2016: 10 · 2015: 21 · 2014: 6 · 2013: 14 · 2012: 11
- FWCI
- 3.06
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- NeuroImage (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- HAL (submittedVersion)
- Funders
- National Institute on Deafness and other Communication Disorders (R01 DC07683)
- 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 › Reading and Literacy Development
- Keywords
- speech production, sublexical processing, phonemes, syllables, globus pallidus, posterior superior temporal gyrus, ventral premotor cortex, language output, neural correlates
- MeSH terms
- Adolescent, Adult, Brain, Brain Mapping, Female, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Models, Neurological, Neural Pathways, Speech, Young Adult
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.
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