Sensory–motor transformations for speech occur bilaterally
Open accessAbstract
Historically, the study of speech processing has emphasized a strong link between auditory perceptual input and motor production output. A kind of 'parity' is essential, as both perception- and production-based representations must form a unified interface to facilitate access to higher-order language processes such as syntax and semantics, believed to be computed in the dominant, typically left hemisphere. Although various theories have been proposed to unite perception and production, the underlying neural mechanisms are unclear. Early models of speech and language processing proposed that perceptual processing occurred in the left posterior superior temporal gyrus (Wernicke's area) and motor production processes occurred in the left inferior frontal gyrus (Broca's area). Sensory activity was proposed to link to production activity through connecting fibre tracts, forming the left lateralized speech sensory-motor system. Although recent evidence indicates that speech perception occurs bilaterally, prevailing models maintain that the speech sensory-motor system is left lateralized and facilitates the transformation from sensory-based auditory representations to motor-based production representations. However, evidence for the lateralized computation of sensory-motor speech transformations is indirect and primarily comes from stroke patients that have speech repetition deficits (conduction aphasia) and studies using covert speech and haemodynamic functional imaging. Whether the speech sensory-motor system is lateralized, like higher-order language processes, or bilateral, like speech perception, is controversial. Here we use direct neural recordings in subjects performing sensory-motor tasks involving overt speech production to show that sensory-motor transformations occur bilaterally. We demonstrate that electrodes over bilateral inferior frontal, inferior parietal, superior temporal, premotor and somatosensory cortices exhibit robust sensory-motor neural responses during both perception and production in an overt word-repetition task. Using a non-word transformation task, we show that bilateral sensory-motor responses can perform transformations between speech-perception- and speech-production-based representations. These results establish a bilateral sublexical speech sensory-motor system.
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In previous multiparticipant studies in able speakers, participants had near-identical speech capacity.
“By contrast, in previous multiparticipant studies in able speakers, participants had near-identical speech capacity106,108,136–138.”
From The speech neuroprosthesis (2024) · cites this paper as [138]
The Online Methods (Participants; page unavailable) describe 16 participants selected for cognitive and language abilities in the average range or above, supporting the description of a multiparticipant study of able speakers. That criterion does not establish that their speech capacities were near-identical. (LLM, conf=0.82)
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Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482 · see citing works
Cortical Surface-Based Analysis
Dale, A. M., Fischl, B., & Sereno, M. I. (1999) · NeuroImage · doi:10.1006/nimg.1998.0395 · Cited by 10,910 · see citing works
Chomsky, N. (2014) · The MIT Press eBooks · doi:10.7551/mitpress/9780262527347.001.0001 · Cited by 8,264 · see citing works
The cortical organization of speech processing
Hickok, G., & Poeppel, D. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2113 · Cited by 5,495 · see citing works
Perception of the speech code.
Liberman, A. M., Cooper, F. S., Shankweiler, D. P., & Studdert-Kennedy, M. (1967) · Psychological Review · doi:10.1037/h0020279 · Cited by 3,722 · see citing works
DISCONNEXION SYNDROMES IN ANIMALS AND MAN
Geschwind, N. (1965) · Brain · doi:10.1093/brain/88.2.237 · Cited by 3,419 · see citing works
The assessment of aphasia and related disorders
Goodglass, H., & Kaplan, E. (1972) · Medical Entomology and Zoology · Cited by 3,258 · see citing works
The motor theory of speech perception revised
Liberman, A. M., & Mattingly, I. G. (1985) · Cognition · doi:10.1016/0010-0277(85)90021-6 · Cited by 2,865 · see citing works
Assessment of Aphasia and Related Disorders
Sarno, M. T. (1973) · Physical Therapy · doi:10.1093/ptj/53.2.225b · Cited by 2,256 · see citing works
Maps and streams in the auditory cortex: nonhuman primates illuminate human speech processing
Rauschecker, J. P., & Scott, S. K. (2009) · Nature Neuroscience · doi:10.1038/nn.2331 · Cited by 1,766 · see citing works
The anatomy of language: a review of 100 fMRI studies published in 2009
Price, C. J. (2010) · Annals of the New York Academy of Sciences · doi:10.1111/j.1749-6632.2010.05444.x · Cited by 1,387 · see citing works
Child Language, Aphasia and Phonological Universals
Jakobson, R. (1968) · De Gruyter eBooks · doi:10.1515/9783111353562 · Cited by 1,213 · see citing works
Analysis of Dynamic Brain Imaging Data
Mitra, P. P., & Pesaran, B. (1999) · Biophysical Journal · doi:10.1016/s0006-3495(99)77236-x · Cited by 1,044 · see citing works
Self-citationAnalysis of Dynamic Brain Imaging Data
Mitra, P. P., & Pesaran, B. (1998) · Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) · Cited by 898 · see citing works
Self-citationLichteim, L. (1885) · Brain · doi:10.1093/brain/7.4.433 · Cited by 830 · see citing works
Sensorimotor Integration in Speech Processing: Computational Basis and Neural Organization
Hickok, G. S., Houde, J. F., & Rong, F. (2011) · Neuron · doi:10.1016/j.neuron.2011.01.019 · Cited by 789 · see citing works
Cortical interactions underlying the production of speech sounds
Guenther, F. H. (2006) · Journal of Communication Disorders · doi:10.1016/j.jcomdis.2006.06.013 · Cited by 624 · see citing works
Evolution, brain, and the nature of language
Berwick, R. C., Friederici, A. D., Chomsky, N., & Bolhuis, J. J. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.12.002 · Cited by 583 · see citing works
The Role of Audition in Infant Babbling
Oller, D. K., & Eilers, R. E. (1988) · Child Development · doi:10.2307/1130323 · Cited by 580 · see citing works
Separate neural subsystems within ‘Wernicke's area’
Wise, R. J. S., Scott, S. K., Blank, S. C., Mummery, C. J., Murphy, K., & Warburton, E. A. (2001) · Brain · doi:10.1093/brain/124.1.83 · Cited by 572 · see citing works
High-frequency gamma oscillations and human brain mapping with electrocorticography
Crone, N. E., Sinai, A., & Korzeniewska, A. (2006) · Progress in Brain Research · doi:10.1016/s0079-6123(06)59019-3 · Cited by 526 · see citing works
THE ANATOMICAL BASIS OF CONDUCTION APHASIA
Damásio, H., & Damásio, A. R. (1980) · Brain · doi:10.1093/brain/103.2.337 · Cited by 458 · see citing works
Speech recognition: A model and a program for research
Halle, M., & Stevens, Κ. Ν. (1962) · IEEE Transactions on Information Theory · doi:10.1109/tit.1962.1057686 · Cited by 390 · see citing works
Benson, D. F. (1973) · Archives of Neurology · doi:10.1001/archneur.1973.00490230075011 · Cited by 295 · see citing works
Nonparametric statistical testing of coherence differences
Maris, E., Schoffelen, J., & Fries, P. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.02.011 · Cited by 278 · see citing works
Human cortical sensorimotor network underlying feedback control of vocal pitch
Chang, E. F., Niziolek, C. A., Knight, R. T., Nagarajan, S. S., & Houde, J. F. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1216827110 · Cited by 255 · see citing works
Neuronal switching of sensorimotor transformations for antisaccades
Zhang, M., & Barash, S. (2000) · Nature · doi:10.1038/35050097 · Cited by 247 · see citing works
Area Spt in the Human Planum Temporale Supports Sensory-Motor Integration for Speech Processing
Hickok, G. S., Okada, K., & Serences, J. T. (2009) · Journal of Neurophysiology · doi:10.1152/jn.91099.2008 · Cited by 230 · see citing works
Bilateral Speech Comprehension Reflects Differential Sensitivity to Spectral and Temporal Features
Obleser, J., Eisner, F., & Kotz, S. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.1290-08.2008 · Cited by 217 · see citing works
An investigation of repetition and language processing in a case of conduction aphasia
Caramazza, A., Basili, A., Koller, J. J., & Berndt, R. S. (1981) · Brain and Language · doi:10.1016/0093-934x(81)90078-x · Cited by 196 · see citing works
Cerebral areas associated with motor control of speech in humans
Murphy, K., Corfield, D. R., Guz, A., Fink, G. R., Wise, R. J. S., Harrison, J., & Adams, L. (1997) · Journal of Applied Physiology · doi:10.1152/jappl.1997.83.5.1438 · Cited by 149 · see citing works
Gail, A., & Andersen, R. A. (2006) · Journal of Neuroscience · doi:10.1523/jneurosci.1570-06.2006 · Cited by 146 · see citing works
Localization of dense intracranial electrode arrays using magnetic resonance imaging
Yang, A. I., Wang, X. H., Doyle, W., Halgren, E., Carlson, C., Belcher, T. L., Cash, S. S., Devinsky, O., & Thesen, T. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.039 · Cited by 140 · see citing works
Self-citationEvent-related dynamics of brain oscillations
Neuper, C., & Klimesch, W. (2006) · Cited by 114 · see citing works
Optimizing the Decoding of Movement Goals from Local Field Potentials in Macaque Cortex
Markowitz, D. A., Wong, Y. T., Gray, C. M., & Pesaran, B. (2011) · The Journal of Neuroscience · doi:10.1523/jneurosci.4165-11.2011 · Cited by 110 · see citing works
Self-citationWernicke, C. (1970) · Archives of Neurology · doi:10.1001/archneur.1970.00480210090013 · Cited by 82 · see citing works
Kovalev, D., Spreer, J., Honegger, J., et al. (2005) · PubMed · Cited by 57 · see citing works
Articulatory movements modulate auditory responses to speech.
Agnew, Z. K., McGettigan, C., Banks, B., & Scott, S. K. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.08.020 · Cited by 36 · see citing works
Jin, Z., & Bhanu, B. (2015) · Computer Vision and Image Understanding · doi:10.1016/j.cviu.2014.10.001 · Cited by 28 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [4]Halle M Stevens KN Analysis by synthesis Proceedings of seminar on speech compression and processing D7 1959
Cited by
Sorted by citations
Promises and limitations of human intracranial electroencephalography
Parvizi, J., & Kastner, S. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0108-2 · Cited by 631 · see citing works
Redefining the role of Broca’s area in speech
Flinker, A., Korzeniewska, A., Shestyuk, A. Y., Franaszczuk, P. J., Dronkers, N. F., Knight, R. T., & Crone, N. E. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1414491112 · Cited by 487 · see citing works
Brains and algorithms partially converge in natural language processing
Caucheteux, C., & King, J.-R. (2022) · Communications Biology · doi:10.1038/s42003-022-03036-1 · Cited by 318 · see citing works
Neural correlate of the construction of sentence meaning
Fedorenko, E., Scott, T. L., Brunner, P., Coon, W. G., Pritchett, B., Schalk, G., & Kanwisher, N. (2016) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1612132113 · Cited by 199 · see citing works
Functional segregation of cortical regions underlying speech timing and articulation
Long, M. A., Katlowitz, K. A., Svirsky, M. A., Clary, R. C., Byun, T. M., Majaj, N., Oya, H., Howard, M. A., & Greenlee, J. D. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.01.032 · Cited by 151 · see citing works
The origins of the vocal brain in humans
Belyk, M., & Brown, S. (2017) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2017.03.014 · Cited by 144 · see citing works
Pinho, A. L., Ullén, F., Castelo-Branco, M., Fransson, P., & de Manzano, Ö. (2015) · Cerebral Cortex · doi:10.1093/cercor/bhv130 · Cited by 147 · see citing works
Silva, A. B., Littlejohn, K. T., Liu, J. R., Moses, D. A., & Chang, E. F. (2024) · Nature Reviews Neuroscience · doi:10.1038/s41583-024-00819-9 · Cited by 103 · see citing works
High-resolution neural recordings improve the accuracy of speech decoding
Duraivel, S., Rahimpour, S., Chiang, C.-H., Trumpis, M., Wang, C., Barth, K., Harward, S. C., Lad, S. P., Friedman, A. H., Southwell, D. G., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42555-1 · Cited by 75 · see citing works
Self-citationCarey, 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
Carey, D., Miquel, M. E., Evans, B. G., Adank, P., & McGettigan, C. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx056 · Cited by 32 · see citing works
Neural dynamics of verbal working memory in auditory description naming
Kambara, T., Brown, E. C., Silverstein, B. H., Nakai, Y., & Asano, E. (2018) · Scientific Reports · doi:10.1038/s41598-018-33776-2 · Cited by 29 · see citing works
- Authors
- Cogan, G. B., Thesen, T., Carlson, C., Doyle, W., Devinsky, O., & Pesaran, B.
- Affiliations
- New York University (US)
- NYU Langone Health (US)
- Medical College of Wisconsin (US)
- Corresponding author
- Pesaran, Bijan
- Venue
- Nature
- Published
- 2014-01-15
- Volume
- 507
- Issue
- 7490
- Pages
- 94-98
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC4000028
- OpenAlex
- W2081020587
- Cited by
- 273
- References
- 39
- Citations by year
- 2026: 8 · 2025: 18 · 2024: 20 · 2023: 13 · 2022: 53 · 2021: 20 · 2020: 18 · 2019: 12 · 2018: 23 · 2017: 34 · 2016: 25 · 2015: 18 · 2014: 11
- FWCI
- 16.36
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- DukeSpace (Duke University) (submittedVersion, cc-by-nc-nd)
- Funders
- National Institute on Deafness and Other Communication Disorders (R03DC010475)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neurobiology of Language and Bilingualism
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Phonetics and Phonology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Hemispheric Asymmetry in Neuroscience
- Keywords
- speech perception, speech production, sensory-motor transformation, hemispheric lateralization, word repetition, inferior frontal cortex, superior temporal cortex, inferior parietal cortex, premotor cortex, somatosensory cortex, auditory cortex, motor cortex, conduction aphasia
- MeSH terms
- Brain, Brain Mapping, Female, Frontal Lobe, Hearing, Humans, Language, Functional Laterality, Male, Models, Neurological, Psychomotor Performance, Speech, Speech Perception, Temporal Lobe
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