The effect of sublexical and lexical frequency on speech production: an fMRI investigation
Abstract
There is no consensus regarding the fundamental phonetic units that underlie speech production. There is, however, general agreement that the frequency of occurrence of these units is a significant factor. Investigators often use the effects of manipulating frequency to support the importance of particular units. Studies of pseudoword production have been used to show the importance of sublexical units, such as initial syllables, phonemes, and biphones. However, it is not clear that these units play the same role when the production of pseudowords is compared to the production of real words. In this study, participants overtly repeated real and pseudowords that were similar for length, complexity, and initial syllable frequency while undergoing functional magnetic resonance imaging. Compared to real words, production of pseudowords produced greater activation in much of the speech production network, including bilateral inferior frontal cortex, precentral gyri and supplementary motor areas and left superior temporal cortex and anterior insula. Only middle right frontal gyrus showed greater activation for real words than for pseudowords. Compared to a no-speech control condition, production of pseudowords or real words resulted in activation of all of the areas shown to comprise the speech production network. Our data, in conjunction with previous studies, suggest that the unit that is identified as the basic unit of speech production is influenced by the nature of the speech that is being studied, i.e., real words as compared to other real words, pseudowords as compared to other pseudowords, or real words as compared to pseudowords.
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Activation in the left anterior insula, on the junction of the frontal operculum, is sensitive to the complexity or novelty of subsyllabic verbal utterances.
“Activation in the left anterior insula, on the junction of the frontal operculum, was sensitive to the complexity or novelty of subsyllabic verbal utterances (Shuster, 2009; Riecker et al., 2008; Moser et al., 2009).”
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 Shuster, 2009
Cites
The assessment and analysis of handedness: The Edinburgh inventory
Oldfield, R. C. (1971) · Neuropsychologia · doi:10.1016/0028-3932(71)90067-4 · Cited by 35,900 · see citing works
Co-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798 · see citing works
AFNI: Software for analysis and visualization of functional magnetic resonance neuroimages
Cox, R. W. (1996) · Computers and Biomedical Research · doi:10.1006/cbmr.1996.0014 · Cited by 10,913 · see citing works
Co-planar stereotaxic atlas of the human brain
Laitinen, L. (1989) · Clinical Neurology and Neurosurgery · doi:10.1016/0303-8467(89)90128-5 · Cited by 7,565 · see citing works
A theory of lexical access in speech production [target paper]
Levelt, W. J. M., Roelofs, A., & Meyer, A. S. (1999) · Radboud Repository (Radboud University) · doi:10.1017/s0140525x99001776 · Cited by 5,173 · see citing works
Neuroimaging studies of working memory:
Wager, T. D., & Smith, E. E. (2003) · Cognitive, Affective, & Behavioral Neuroscience · doi:10.3758/cabn.3.4.255 · Cited by 1,889 · see citing works
Motor Areas of the Medial Wall: A Review of Their Location and Functional Activation
Picard, N., & Strick, P. L. (1996) · Cerebral Cortex · doi:10.1093/cercor/6.3.342 · Cited by 1,712 · see citing works
(2000) · Cited by 1,631 · see citing works
The idiom principle and the open choice principle
ERMAN, B., & WARREN, B. (2000) · Text - Interdisciplinary Journal for the Study of Discourse · doi:10.1515/text.1.2000.20.1.29 · Cited by 1,349 · see citing works
Human Functional Neuroimaging of Brain Changes Associated with Practice
Kelly, A. M. C., & Garavan, H. (2005) · Cerebral Cortex · doi:10.1093/cercor/bhi005 · Cited by 752 · see citing works
Parametric Analysis of fMRI Data Using Linear Systems Methods
Cohen, M. S. (1997) · NeuroImage · doi:10.1006/nimg.1997.0278 · Cited by 723 · see citing works
The effect of usage on degrees of constituency: the reduction of don't in English
Bybee, J., & Scheibman, J. (1999) · Linguistics · doi:10.1515/ling.37.4.575 · Cited by 662 · see citing works
When Words Compete: Levels of Processing in Perception of Spoken Words
Vitevitch, M. S., & Luce, P. A. (1998) · Psychological Science · doi:10.1111/1467-9280.00064 · Cited by 603 · see citing works
Spiral‐in/out BOLD fMRI for increased SNR and reduced susceptibility artifacts
Glover, G. H., & Law, C. S. W. (2001) · Magnetic Resonance in Medicine · doi:10.1002/mrm.1222 · Cited by 600 · see citing works
Do speakers have access to a mental syllabary?
Levelt, W. J. M., & Wheeldon, L. R. (1994) · Cognition · doi:10.1016/0010-0277(94)90030-2 · Cited by 559 · see citing works
A Web-based interface to calculate phonotactic probability for words and nonwords in English
Vitevitch, M. S., & Luce, P. A. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03195594 · Cited by 547 · see citing works
An fMRI investigation of syllable sequence production
Bohland, J. W., & Guenther, F. H. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.04.173 · Cited by 545 · see citing works
PHONOLOGICAL EVIDENCE FOR EXEMPLAR STORAGE OF MULTIWORD SEQUENCES
Bybee, J. (2002) · Studies in Second Language Acquisition · doi:10.1017/s0272263102002061 · Cited by 282 · see citing works
Lexical frequency and acoustic reduction in spoken Dutch
Pluymaekers, M., Ernestus, M., & Baayen, R. H. (2005) · The Journal of the Acoustical Society of America · doi:10.1121/1.2011150 · Cited by 274 · see citing works
The problem of serial order in behavior: Lashley’s legacy
Rosenbaum, D. Α., Cohen, R. G., Jax, S. A., Weiss, D. J., & van der Wel, R. P. R. D. (2007) · Human Movement Science · doi:10.1016/j.humov.2007.04.001 · Cited by 263 · see citing works
Dell, G. S., Reed, K. D., Adams, D. R., & Meyer, A. S. (2000) · Journal of Experimental Psychology Learning Memory and Cognition · doi:10.1037/0278-7393.26.6.1355 · Cited by 249 · see citing works
Effects of syllable frequency in speech production
Cholin, J., Levelt, W. J. M., & Schiller, N. O. (2005) · Cognition · doi:10.1016/j.cognition.2005.01.009 · Cited by 228 · see citing works
Effects of syllable frequency and syllable neighborhood frequency in visual word recognition.
Perea, M., & Carreiras, M. (1998) · Journal of Experimental Psychology Human Perception & Performance · doi:10.1037/0096-1523.24.1.134 · Cited by 213 · see citing works
An fMRI investigation of covertly and overtly produced mono- and multisyllabic words
SHUSTER, L., & LEMIEUX, S. (2005) · Brain and Language · doi:10.1016/j.bandl.2004.07.007 · Cited by 205 · see citing works
From phonemes to articulatory codes: an fMRI study of the role of Broca's area in speech production
Papoutsi, M., de Zwart, J. A., Jansma, J. M., Pickering, M. J., Bednar, J. A., & Horwitz, B. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhn239 · Cited by 190 · see citing works
The Effects of Collocational Strength and Contextual Predictability in Lexical Production
Gregory, M., Raymond, W. D., Bell, A., Fosler‐Lussier, E., & Jurafsky, D. S. (1999) · Cited by 187 · see citing works
Syllable frequency and syllable structure in apraxia of speech
Aichert, I., & Ziegler, W. (2003) · Brain and Language · doi:10.1016/s0093-934x(03)00296-7 · Cited by 168 · see citing works
Increases in phonotactic probability facilitate spoken nonword repetition
Vitevitch, M. S., & Luce, P. A. (2005) · Journal of Memory and Language · doi:10.1016/j.jml.2004.10.003 · Cited by 166 · see citing works
A functional MRI study of the influence of practice on component processes of working memory
Landau, S. M., Schumacher, E. H., Garavan, H., Druzgal, T. J., & D’Esposito, M. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.01.003 · Cited by 152 · see citing works
Clustered functional MRI of overt speech production
Sörös, P., Sokoloff, L. G., Bose, A., McIntosh, A. R., Graham, S. J., & Stuss, D. T. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.02.046 · Cited by 149 · see citing works
Naming pseudowords in Spanish: Effects of syllable frequency
Carreiras, M., & Perea, M. (2004) · Brain and Language · doi:10.1016/j.bandl.2003.12.003 · Cited by 144 · see citing works
Comparison of the t vs. Wilcoxon Signed-Rank Test for Likert Scale Data and Small Samples
Meek, G. E., Ozgur, C. O., & Dunning, K. A. (2007) · Journal of Modern Applied Statistical Methods · doi:10.22237/jmasm/1177992540 · Cited by 119 · see citing works
The influence of syllable onset complexity and syllable frequency on speech motor control
Riecker, A., Brendel, B., Ziegler, W., Erb, M., & Ackermann, H. (2008) · Brain and Language · doi:10.1016/j.bandl.2008.01.008 · Cited by 113 · see citing works
Riecker, A., Ackermann, H., Wildgruber, D., Meyer, J., Dogil, G., Haider, H., & Grodd, W. (2000) · Brain and Language · doi:10.1006/brln.2000.2356 · Cited by 110 · see citing works
On the locus of the syllable frequency effect in speech production
Laganaro, M., & Alario, F. ‐. (2006) · Journal of Memory and Language · doi:10.1016/j.jml.2006.05.001 · Cited by 103 · see citing works
A Reconceptualisation of Apraxia of Speech: A Synthesis of Evidence
Whiteside, S. P., & Varley, R. A. (1998) · Cortex · doi:10.1016/s0010-9452(08)70749-4 · Cited by 91 · see citing works
Neural Response Suppression Predicts Repetition Priming of Spoken Words and Pseudowords
Orfanidou, E., Marslen‐Wilson, W. D., & Davis, M. H. (2006) · Journal of Cognitive Neuroscience · doi:10.1162/jocn.2006.18.8.1237 · Cited by 89 · see citing works
Tomasi, D. G., Ernst, T., Caparelli, E. C., & Chang, L. (2004) · NeuroImage · doi:10.1016/j.neuroimage.2004.07.065 · Cited by 88 · see citing works
What is the underlying impairment in acquired apraxia of speech
Varley, R. A., & Whiteside, S. (2001) · UCL Discovery (University College London) · Cited by 80 · see citing works
Hanley, J. R., Dell, G. S., Kay, J., & Baron, R. (2004) · Cognitive Neuropsychology · doi:10.1080/02643290342000339 · Cited by 65 · see citing works
Cholin, J., & Levelt, W. J. M. (2008) · Language and Cognitive Processes · doi:10.1080/01690960802348852 · Cited by 53 · see citing works
Lipinski, J., & Gupta, P. (2005) · Journal of Memory and Language · doi:10.1016/j.jml.2004.10.004 · Cited by 35 · see citing works
Syllables as units in speech production: Data from aphasia
Wilshire, C. E., & Nespoulous, J. (2003) · Brain and Language · doi:10.1016/s0093-934x(02)00501-1 · Cited by 26 · see citing works
Flagged first, then by citations
1 of the 45 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Price, C. J. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.04.062 · Cited by 2,159 · 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
Parker Jones, O., Green, D. W., Grogan, A., Pliatsikas, C., Filippopolitis, K., Ali, N., Lee, H. L., Ramsden, S., Gazarian, K., Prejawa, S., et al. (2012) · Cerebral Cortex · doi:10.1093/cercor/bhr161 · Cited by 221 · see citing works
Four Functionally Distinct Regions in the Left Supramarginal Gyrus Support Word Processing
Oberhuber, M., Hope, T. M. H., Seghier, M. L., Jones, Ō. P., Prejawa, S., Green, D. W., & Price, C. J. (2016) · Cerebral Cortex · doi:10.1093/cercor/bhw251 · Cited by 191 · see citing works
Correia, J., Formisano, E., Valente, G., Hausfeld, L. G., Jansma, B. M., & Bonte, M. L. (2013) · Journal of Neuroscience · doi:10.1523/jneurosci.1302-13.2014 · Cited by 136 · see citing works
Adank, P. (2012) · Brain and Language · doi:10.1016/j.bandl.2012.04.014 · Cited by 135 · see citing works
Emotional speech processing: Disentangling the effects of prosody and semantic cues
Pell, M. D., Jaywant, A., Monetta, L., & Kotz, S. A. (2010) · Cognition & Emotion · doi:10.1080/02699931.2010.516915 · Cited by 110 · see citing works
Aspects of speech rate and regularity in Parkinson's disease
Skodda, S. (2011) · Journal of the Neurological Sciences · doi:10.1016/j.jns.2011.07.020 · Cited by 97 · see citing works
Kumar, V. V., Croxson, P. L., & Simonyan, K. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3914-15.2016 · Cited by 91 · 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
Structural asymmetry of anterior insula: Behavioral correlates and individual differences
Chiarello, C., Vazquez, D., Felton, A., & Leonard, C. M. (2013) · Brain and Language · doi:10.1016/j.bandl.2013.03.005 · Cited by 51 · see citing works
Adank, P. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.07.027 · Cited by 51 · see citing works
Emotional Speech Processing at the Intersection of Prosody and Semantics
Schwartz, R., & Pell, M. D. (2012) · PLoS ONE · doi:10.1371/journal.pone.0047279 · Cited by 45 · see citing works
Structural 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
Pigdon, L., Willmott, C., Reilly, S., Conti‐Ramsden, G., Liegeois, F. J., Connelly, A., & Morgan, A. T. (2020) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2019.107312 · Cited by 30 · see citing works
Brain regions that support accurate speech production after damage to Broca’s area
Lorca‐Puls, D. L., Gajardo‐Vidal, A., PLORAS team, Oberhuber, M., Prejawa, S., Hope, T. M. H., Leff, A. P., Green, D. W., & Price, C. J. (2021) · Brain Communications · doi:10.1093/braincomms/fcab230 · Cited by 27 · see citing works
Changes in Resting-State Connectivity following Melody-Based Therapy in a Patient with Aphasia
Bitan, T., Simić, T., Saverino, C., Jones, C., Glazer, J., Colella, B., Wiseman‐Hakes, C., Green, R., & Rochon, E. A. (2018) · Neural Plasticity · doi:10.1155/2018/6214095 · Cited by 18 · see citing works
Training-induced neural plasticity in visual-word decoding and the role of syllables
Takashima, A., Wagensveld, B., van Turennout, M., Zwitserlood, P., Peter Hagoort, A., & Verhoeven, L. T. W. (2014) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2014.06.017 · Cited by 13 · see citing works
Functional brain outcomes of L2 speech learning emerge during sensorimotor transformation
Carey, D., Miquel, M. E., Evans, B. G., Adank, P., & McGettigan, C. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2017.06.053 · Cited by 9 · see citing works
Does experience in talking facilitate speech repetition?
SHUSTER, L. I., Moore, D. R., Chen, G., Ruscello, D. M., & Wonderlin, W. F. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2013.10.064 · Cited by 8 · see citing works
The Filtered Words Test and the Influence of Lexicality
Arnott, W. L., Goli, T., Bradley, A. P., Smith, A., & Wilson, W. J. (2014) · Journal of Speech Language and Hearing Research · doi:10.1044/2014_jslhr-l-13-0210 · Cited by 6 · see citing works
SHUSTER, L. I. (2018) · American Journal of Speech-Language Pathology · doi:10.1044/2018_ajslp-16-0180 · Cited by 5 · see citing works
Imaginary and Real Speech-Related EEG Patterns in the Neural Network Approach
Kiroy, V. N., Бахтин, О. М., Krivko, E., Lazurenko, D. M., Aslanyan, E. V., & Shaposhnikov, D. G. (2022) · Human Physiology · doi:10.1134/s0362119722320019 · Cited by 4 · see citing works
The neural correlates of auditory processing in adults and children who stutter.
Beal, D. S. (2010) · TSpace (University of Toronto) · Cited by 4 · see citing works
Is the homophone advantage influenced by post-lexical effects?
Biedermann, B., Cholin, J., Jorschick, A. B., Croot, K., Hameau, S., & Nickels, L. (2018) · Cortex · doi:10.1016/j.cortex.2018.01.014 · Cited by 2 · see citing works
Neural coding of speech and language : fMRI and EEG studies
Correia, J. (2015) · doi:10.26481/dis.20150327jc · Cited by 2 · see citing works
Speech Production, Neural Basis of
Baldo, J. V., & Dronkers, N. F. (2015) · Elsevier eBooks · doi:10.1016/b978-0-08-097086-8.54018-5 · Cited by 1 · see citing works
Yue, J., Wang, P., Li, J., Li, Z., Liang, X., & He, Y. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.10.13.464244
Current Awareness in NMR in Biomedicine
(2010) · NMR in Biomedicine · doi:10.1002/nbm.1453
The contributions of prosody and semantic context in emotional speech processing
Pell, M. D., Jaywant, A., Monetta, L., & Kotz, S. A. (2010) · Speech prosody · doi:10.21437/speechprosody.2010-240
Eckmann, T. (2013) · Utrecht University Repository (Utrecht University)
- Authors
- Shuster, L. I.
- Affiliations
- West Virginia University (US)
- Corresponding author
- Shuster, Linda I.
- Venue
- Brain and Language
- Publisher
- Elsevier BV
- Published
- 2009-10
- Volume
- 111
- Issue
- 1
- Pages
- 66-72
- ISSN
- 0093-934X (ISSN-L)
- OpenAlex
- W2157719007
- Cited by
- 32
- References
- 45
- Citations by year
- 2022: 1 · 2021: 2 · 2020: 1 · 2018: 4 · 2017: 1 · 2016: 2 · 2015: 3 · 2014: 2 · 2013: 5 · 2012: 4
- FWCI
- 1.75
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain and Language (publishedVersion)
- PubMed (publishedVersion)
- 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, word frequency, pseudowords, phonemes, syllables, inferior frontal cortex, supplementary motor area, superior temporal cortex, anterior insula, real words
- MeSH terms
- Acoustic Stimulation, Adult, Analysis of Variance, Brain Mapping, Cerebral Cortex, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Reaction Time, Speech, Speech Intelligibility, Speech Production Measurement
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