Engagement of the speech motor system in challenging speech perception: Activation likelihood estimation meta-analyses.


Journal

Human brain mapping
ISSN: 1097-0193
Titre abrégé: Hum Brain Mapp
Pays: United States
ID NLM: 9419065

Informations de publication

Date de publication:
Sep 2024
Historique:
revised: 20 08 2024
received: 08 05 2024
accepted: 29 08 2024
medline: 15 9 2024
pubmed: 15 9 2024
entrez: 13 9 2024
Statut: ppublish

Résumé

The relationship between speech production and perception is a topic of ongoing debate. Some argue that there is little interaction between the two, while others claim they share representations and processes. One perspective suggests increased recruitment of the speech motor system in demanding listening situations to facilitate perception. However, uncertainties persist regarding the specific regions involved and the listening conditions influencing its engagement. This study used activation likelihood estimation in coordinate-based meta-analyses to investigate the neural overlap between speech production and three speech perception conditions: speech-in-noise, spectrally degraded speech and linguistically complex speech. Neural overlap was observed in the left frontal, insular and temporal regions. Key nodes included the left frontal operculum (FOC), left posterior lateral part of the inferior frontal gyrus (IFG), left planum temporale (PT), and left pre-supplementary motor area (pre-SMA). The left IFG activation was consistently observed during linguistic processing, suggesting sensitivity to the linguistic content of speech. In comparison, the left pre-SMA activation was observed when processing degraded and noisy signals, indicating sensitivity to signal quality. Activations of the left PT and FOC activation were noted in all conditions, with the posterior FOC area overlapping in all conditions. Our meta-analysis reveals context-independent (FOC, PT) and context-dependent (pre-SMA, posterior lateral IFG) regions within the speech motor system during challenging speech perception. These regions could contribute to sensorimotor integration and executive cognitive control for perception and production.

Identifiants

pubmed: 39268584
doi: 10.1002/hbm.70023
doi:

Types de publication

Journal Article Meta-Analysis

Langues

eng

Sous-ensembles de citation

IM

Pagination

e70023

Subventions

Organisme : Natural Sciences and Engineering Research Council of Canada
ID : RGPIN-2021-02721
Organisme : Canadian Institutes of Health Research (CIHR)
Organisme : Alzheimer Society of Canada

Informations de copyright

© 2024 The Author(s). Human Brain Mapping published by Wiley Periodicals LLC.

Références

Adank, P. (2012). The neural bases of difficult speech comprehension and speech production: Two activation likelihood estimation (ALE) meta‐analyses. Brain and Language, 122(1), 42–54. https://doi.org/10.1016/j.bandl.2012.04.014
*Adank, P., Davis, M. H., & Hagoort, P. (2012). Neural dissociation in processing noise and accent in spoken language comprehension. Neuropsychologia, 50(1), 77–84. https://doi.org/10.1016/j.neuropsychologia.2011.10.024
*Agmon, G., Bain, J. S., & Deschamps, I. (2021). Negative polarity in quantifiers evokes greater activation in language‐related regions compared to negative polarity in adjectives. Experimental Brain Research, 239(5), 1427–1438. https://doi.org/10.1007/s00221-021-06067-y
*Agmon, G., Yahav, P. H., Ben‐Shachar, M., & Golumbic, E. Z. (2022). Attention to speech: Mapping distributed and selective attention systems. Cerebral Cortex, 32(17), 3763–3776. https://doi.org/10.1093/cercor/bhab446
Alain, C., Du, Y., Bernstein, L. J., Barten, T., & Banai, K. (2018). Listening under difficult conditions: An activation likelihood estimation meta‐analysis. Human Brain Mapping, 39(7), 2695–2709. https://doi.org/10.1002/hbm.24031
Alho, J., Sato, M., Sams, M., Schwartz, J. L., Tiitinen, H., & Jääskeläinen, I. P. (2012). Enhanced early‐latency electromagnetic activity in the left premotor cortex is associated with successful phonetic categorization. NeuroImage, 60(4), 1937–1946. https://doi.org/10.1016/j.neuroimage.2012.02.011
*Allen, P. P., Amaro, E., Fu, C. H., Williams, S. C., Brammer, M., Johns, L. C., & McGuire, P. K. (2005). Neural correlates of the misattribution of self‐generated speech. Human Brain Mapping, 26(1), 44–53. https://doi.org/10.1002/hbm.20120
Amiez, C., Verstraete, C., Sallet, J., Hadj‐Bouziane, F., Ben Hamed, S., Meguerditchian, A., Procyk, E., Wilson, C. R. E., Petrides, M., Sherwood, C. C., & Hopkins, W. D. (2023). The relevance of the unique anatomy of the human prefrontal operculum to the emergence of speech. Communications Biology, 6(1), 693. https://doi.org/10.1038/s42003-023-05066-9
Amiez, C., Wutte, M. G., Faillenot, I., Petrides, M., Burle, B., & Procyk, E. (2016). Single subject analyses reveal consistent recruitment of frontal operculum in performance monitoring. NeuroImage, 133, 266–278. https://doi.org/10.1016/j.neuroimage.2016.03.003
Amunts, K., Lenzen, M., Friederici, A. D., Schleicher, A., Morosan, P., Palomero‐Gallagher, N., & Zilles, K. (2010). Broca's region: Novel organizational principles and multiple receptor mapping. PLoS Biology, 8(9), e1000489. https://doi.org/10.1371/journal.pbio.1000489
Amunts, K., Weiss, P. H., Mohlberg, H., Pieperhoff, P., Eickhoff, S., Gurd, J. M., Marshall, J. C., Shah, N. J., Fink, G. R., & Zilles, K. (2004). Analysis of neural mechanisms underlying verbal fluency in cytoarchitectonically defined stereotaxic space—The roles of Brodmann areas 44 and 45. NeuroImage, 22(1), 42–56. https://doi.org/10.1016/j.neuroimage.2003.12.031
Anwander, A., Tittgemeyer, M., von Cramon, D., Friederici, A., & Knösche, T. (2006). Connectivity‐based parcellation of Broca's area. Cerebral Cortex, 17(4), 816–825. https://doi.org/10.1093/cercor/bhk034
Aziz‐Zadeh, L., Sheng, T., & Gheytanchi, A. (2010). Common premotor regions for the perception and production of prosody and correlations with empathy and prosodic ability. PLoS One, 5(1), e8759. https://doi.org/10.1371/journal.pone.0008759
*Bekinschtein, T. A., Davis, M. H., Rodd, J. M., & Owen, A. M. (2011). Why clowns taste funny: The relationship between humor and semantic ambiguity. The Journal of Neuroscience, 31(26), 9665–9671. https://doi.org/10.1523/JNEUROSCI.5058-10.2011
*Bilenko, N. Y., Grindrod, C. M., Myers, E. B., & Blumstein, S. E. (2008). Neural correlates of semantic competition during processing of ambiguous words. Journal of Cognitive Neuroscience, 21(5), 960–975. https://doi.org/10.1162/jocn.2009.21073
Binder, J. R., Frost, J. A., Hammeke, T. A., Rao, S. M., & Cox, R. W. (1996). Function of the left planum temporale in auditory and linguistic processing. Brain, 119(4), 1239–1247. https://doi.org/10.1093/brain/119.4.1239
*Binder, J. R., Liebenthal, E., Possing, E. T., Medler, D. A., & Ward, B. D. (2004). Neural correlates of sensory and decision processes in auditory object identification. Nature Neuroscience, 7(3), 295–301. https://doi.org/10.1038/nn1198
Binder, J. R., Swanson, S. J., Hammeke, T. A., & Sabsevitz, D. S. (2008). A comparison of five fMRI protocols for mapping speech comprehension systems. Epilepsia, 49(12), 1980–1997. https://doi.org/10.1111/j.1528-1167.2008.01683.x
Bohland, J. W., & Guenther, F. H. (2006). An fMRI investigation of syllable sequence production. NeuroImage, 32, 821–841. Retrieved from http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?cmd=Retrieve&db=PubMed&list_uids=16730195&dopt=Abstract
Braga, R. M., & Buckner, R. L. (2017). Parallel interdigitated distributed networks within the individual estimated by intrinsic functional connectivity. Neuron, 95(2), 457–471.e455. https://doi.org/10.1016/j.neuron.2017.06.038
Brisson, V., & Tremblay, P. (2021). Improving speech perception in noise in young and older adults using transcranial magnetic stimulation. Brain and Language, 222, 105009. https://doi.org/10.1016/j.bandl.2021.105009
*Buchweitz, A., Keller, T. A., Meyler, A., & Just, M. A. (2012). Brain activation for language dual‐tasking: Listening to two people speak at the same time and a change in network timing. Human Brain Mapping, 33(8), 1868–1882. https://doi.org/10.1002/hbm.21327
*Buchweitz, A., Mason, R. A., Meschyan, G., Keller, T. A., & Just, M. A. (2014). Modulation of cortical activity during comprehension of familiar and unfamiliar text topics in speed reading and speed listening. Brain and Language, 139, 49–57. https://doi.org/10.1016/j.bandl.2014.09.010
Callan, D. E., Jones, J. A., & Callan, A. (2014). Multisensory and modality specific processing of visual speech in different regions of the premotor cortex. Frontiers in Psychology, 5, 389. https://doi.org/10.3389/fpsyg.2014.00389
Caplan, D., Alpert, N., & Waters, G. (1998). Effects of syntactic structure and propositional number on patterns of regional cerebral blood flow. Journal of Cognitive Neuroscience, 10(4), 541–552. https://doi.org/10.1162/089892998562843
*Caplan, D., Alpert, N., & Waters, G. (1999). PET studies of syntactic processing with auditory sentence presentation. NeuroImage, 9(3), 343–351. https://doi.org/10.1006/nimg.1998.0412
Catani, M., Howard, R. J., Pajevic, S., & Jones, D. K. (2002). Virtual in vivo interactive dissection of white matter fasciculi in the human brain. NeuroImage, 17(1), 77–94. https://doi.org/10.1006/nimg.2002.1136
Cummine, J., Hanif, W., Dymouriak‐Tymashov, I., Anchuri, K., Chiu, S., & Boliek, C. A. (2017). The role of the supplementary motor region in overt reading: Evidence for differential processing in SMA‐proper and pre‐SMA as a function of task demands. Brain Topography, 30(5), 579–591. https://doi.org/10.1007/s10548-017-0553-3
D'Ausilio, A., Pulvermuller, F., Salmas, P., Bufalari, I., Begliomini, C., & Fadiga, L. (2009). The motor somatotopy of speech perception. Current Biology, 19(5), 381–385. https://doi.org/10.1016/j.cub.2009.01.017
*Davis, M. H., Coleman, M. R., Absalom, A. R., Rodd, J. M., Johnsrude, I. S., Matta, B. F., Owen, A. M., & Menon, D. K. (2007). Dissociating speech perception and comprehension at reduced levels of awareness. Proceedings of the National Academy of Sciences of the United States of America, 104(41), 16032–16037. https://doi.org/10.1073/pnas.0701309104
*Deschamps, I., & Tremblay, P. (2014). Sequencing at the syllabic and supra‐syllabic levels during speech perception: An fMRI study. Frontiers in Human Neuroscience, 8, 14. https://doi.org/10.3389/fnhum.2014.00492
*Dos Santos Sequeira, S., Specht, K., Moosmann, M., Westerhausen, R., & Hugdahl, K. (2010). The effects of background noise on dichotic listening to consonant‐vowel syllables: An fMRI study. Laterality, 15(6), 577–596. https://doi.org/10.1080/13576500903045082
*Du, Y., Buchsbaum, B. R., Grady, C. L., & Alain, C. (2014). Noise differentially impacts phoneme representations in the auditory and speech motor systems. Proceedings of the National Academy of Sciences of the United States of America, 111(19), 7126–7131. https://doi.org/10.1073/pnas.1318738111
Du, Y., Buchsbaum, B. R., Grady, C. L., & Alain, C. (2016). Increased activity in frontal motor cortex compensates impaired speech perception in older adults. Nature Communications, 7, 12241. https://doi.org/10.1038/ncomms12241
*Eckert, M. A., Menon, V., Walczak, A., Ahlstrom, J., Denslow, S., Horwitz, A., & Dubno, J. R. (2009). At the heart of the ventral attention system: The right anterior insula. Human Brain Mapping, 30(8), 2530–2541. https://doi.org/10.1002/hbm.20688
Economo, C. V., & Horn, L. (1930). Über Windungsrelief, Maße und Rindenarchitektonik der Supratemporalfläche, ihre individuellen und ihre Seitenunterschiede. Zeitschrift für Die Gesamte Neurologie Und Psychiatrie, 130(1), 678–757. https://doi.org/10.1007/BF02865945
Eickhoff, S. B., Bzdok, D., Laird, A. R., Kurth, F., & Fox, P. T. (2012). Activation likelihood estimation meta‐analysis revisited. NeuroImage, 59(3), 2349–2361. https://doi.org/10.1016/j.neuroimage.2011.09.017
Eickhoff, S. B., Heim, S., Zilles, K., & Amunts, K. (2006). Testing anatomically specified hypotheses in functional imaging using cytoarchitectonic maps. NeuroImage, 32(2), 570–582. https://doi.org/10.1016/j.neuroimage.2006.04.204
Eickhoff, S. B., Laird, A. R., Grefkes, C., Wang, L. E., Zilles, K., & Fox, P. T. (2009). Coordinate‐based activation likelihood estimation meta‐analysis of neuroimaging data: A random‐effects approach based on empirical estimates of spatial uncertainty. Human Brain Mapping, 30(9), 2907–2926. https://doi.org/10.1002/hbm.20718
Eickhoff, S. B., Nichols, T. E., Laird, A. R., Hoffstaedter, F., Amunts, K., Fox, P. T., Bzdok, D., & Eickhoff, C. R. (2016). Behavior, sensitivity, and power of activation likelihood estimation characterized by massive empirical simulation. NeuroImage, 137, 70–85. https://doi.org/10.1016/j.neuroimage.2016.04.072
Eickhoff, S. B., Stephan, K. E., Mohlberg, H., Grefkes, C., Fink, G. R., Amunts, K., & Zilles, K. (2005). A new SPM toolbox for combining probabilistic cytoarchitectonic maps and functional imaging data. NeuroImage, 25(4), 1325–1335. https://doi.org/10.1016/j.neuroimage.2004.12.034
*Erb, J., Henry, M. J., Eisner, F., & Obleser, J. (2013). The brain dynamics of rapid perceptual adaptation to adverse listening conditions. The Journal of Neuroscience, 33(26), 10688–10697. https://doi.org/10.1523/JNEUROSCI.4596-12.2013
*Evans, S., & Davis, M. H. (2015). Hierarchical organization of auditory and motor representations in speech perception: Evidence from searchlight similarity analysis. Cerebral Cortex, 25(12), 4772–4788. https://doi.org/10.1093/cercor/bhv136
*Evans, S., McGettigan, C., Agnew, Z. K., Rosen, S., & Scott, S. K. (2016). Getting the cocktail party started: Masking effects in speech perception. Journal of Cognitive Neuroscience, 28(3), 483–500. https://doi.org/10.1162/jocn_a_00913
*Ferstl, E. C., Rinck, M., & von Cramon, D. Y. (2005). Emotional and temporal aspects of situation model processing during text comprehension: An event‐related fMRI study. Journal of Cognitive Neuroscience, 17(5), 724–739. https://doi.org/10.1162/0898929053747658
Friederici, A. D. (2011). The brain basis of language processing: From structure to function. Physiological Reviews, 91(4), 1357–1392. https://doi.org/10.1152/physrev.00006.2011
Friederici, A. D., Fiebach, C. J., Schlesewsky, M., Bornkessel, I. D., & von Cramon, D. Y. (2006). Processing linguistic complexity and grammaticality in the left frontal cortex. Cerebral Cortex, 16(12), 1709–1717. https://doi.org/10.1093/cercor/bhj106
*Friederici, A. D., Kotz, S. A., Scott, S. K., & Obleser, J. (2010). Disentangling syntax and intelligibility in auditory language comprehension. Human Brain Mapping, 31(3), 448–457. https://doi.org/10.1002/hbm.20878
*Gaab, N., Gabrieli, J. D., & Glover, G. H. (2007). Assessing the influence of scanner background noise on auditory processing. II. An fMRI study comparing auditory processing in the absence and presence of recorded scanner noise using a sparse design. Human Brain Mapping, 28(8), 721–732. https://doi.org/10.1002/hbm.20299
Galaburda, A., & Sanides, F. (1980). Cytoarchitectonic organization of the human auditory cortex. Journal of Comparative Neurology, 190(3), 597–610. https://doi.org/10.1002/cne.901900312
Gallese, V., Fadiga, L., Fogassi, L., & Rizzolatti, G. (1996). Action recognition in the premotor cortex. Brain, 119(Pt 2), 593–609. https://doi.org/10.1093/brain/119.2.593
Giraud, A. L., & Price, C. J. (2001). The constraints functional neuroimaging places on classical models of auditory word processing. Journal of Cognitive Neuroscience, 13(6), 754–765. https://doi.org/10.1162/08989290152541421
Glanz, O., Derix, J., Kaur, R., Schulze‐Bonhage, A., Auer, P., Aertsen, A., & Ball, T. (2018). Real‐life speech production and perception have a shared premotor‐cortical substrate. Scientific Reports, 8(1), 8898. https://doi.org/10.1038/s41598-018-26801-x
*Golestani, N., Hervais‐Adelman, A., Obleser, J., & Scott, S. K. (2013). Semantic versus perceptual interactions in neural processing of speech‐in‐noise. NeuroImage, 79, 52–61. https://doi.org/10.1016/j.neuroimage.2013.04.049
Griffiths, T. D., & Warren, J. D. (2002). The planum temporale as a computational hub. Trends in Neurosciences, 25(7), 348–353. https://doi.org/10.1016/S0166-2236(02)02191-4
*Grindrod, C. M., Bilenko, N. Y., Myers, E. B., & Blumstein, S. E. (2008). The role of the left inferior frontal gyrus in implicit semantic competition and selection: An event‐related fMRI study. Brain Research, 1229, 167–178. https://doi.org/10.1016/j.brainres.2008.07.017
*Guediche, S., Salvata, C., & Blumstein, S. E. (2013). Temporal cortex reflects effects of sentence context on phonetic processing. Journal of Cognitive Neuroscience, 25(5), 706–718. https://doi.org/10.1162/jocn_a_00351
*Guerreiro, M. J., Putzar, L., & Röder, B. (2016). The effect of early visual deprivation on the neural bases of auditory processing. The Journal of Neuroscience, 36(5), 1620–1630. https://doi.org/10.1523/jneurosci.2559-15.2016
Haller, S., Radue, E. W., Erb, M., Grodd, W., & Kircher, T. (2005). Overt sentence production in event‐related fMRI. Neuropsychologia, 43(5), 807–814. https://doi.org/10.1016/j.neuropsychologia.2004.09.007
*Herrmann, B., Obleser, J., Kalberlah, C., Haynes, J. D., & Friederici, A. D. (2012). Dissociable neural imprints of perception and grammar in auditory functional imaging. Human Brain Mapping, 33(3), 584–595. https://doi.org/10.1002/hbm.21235
*Hervais‐Adelman, A., Pefkou, M., & Golestani, N. (2014). Bilingual speech‐in‐noise: Neural bases of semantic context use in the native language. Brain and Language, 132, 1–6. https://doi.org/10.1016/j.bandl.2014.01.009
*Hervais‐Adelman, A. G., Carlyon, R. P., Johnsrude, I. S., & Davis, M. H. (2012). Brain regions recruited for the effortful comprehension of noise‐vocoded words. Language and Cognitive Processes, 27(7–8), 1145–1166. https://doi.org/10.1080/01690965.2012.662280
*Hesling, I., Clément, S., Bordessoules, M., & Allard, M. (2005). Cerebral mechanisms of prosodic integration: Evidence from connected speech. NeuroImage, 24(4), 937–947. https://doi.org/10.1016/j.neuroimage.2004.11.003
Hickok, G., Buchsbaum, B., Humphries, C., & Muftuler, T. (2003). Auditory‐motor interaction revealed by fMRI: Speech, music, and working memory in area Spt. Journal of Cognitive Neuroscience, 15(5), 673–682. https://doi.org/10.1162/089892903322307393
Hickok, G., Costanzo, M., Capasso, R., & Miceli, G. (2011). The role of Broca's area in speech perception: Evidence from aphasia revisited. Brain and Language, 119(3), 214–220. https://doi.org/10.1016/j.bandl.2011.08.001
Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews. Neuroscience, 8(5), 393–402. https://doi.org/10.1038/nrn2113
*Hillert, D. G., & Buračas, G. T. (2009). The neural substrates of spoken idiom comprehension. Language and Cognitive Processes, 24(9), 1370–1391. https://doi.org/10.1080/01690960903057006
*Holmes, E., & Johnsrude, I. S. (2021). Speech‐evoked brain activity is more robust to competing speech when it is spoken by someone familiar. NeuroImage, 237, 118107. https://doi.org/10.1016/j.neuroimage.2021.118107
Isenberg, A. L., Vaden, K. I., Jr., Saberi, K., Muftuler, L. T., & Hickok, G. (2012). Functionally distinct regions for spatial processing and sensory motor integration in the planum temporale. Human Brain Mapping, 33(10), 2453–2463. https://doi.org/10.1002/hbm.21373
Ishkhanyan, B., Michel Lange, V., Boye, K., Mogensen, J., Karabanov, A., Hartwigsen, G., & Siebner, H. R. (2020). Anterior and posterior left inferior frontal gyrus contribute to the implementation of grammatical determiners during language production [original research]. Frontiers in Psychology, 11, 1–13. https://doi.org/10.3389/fpsyg.2020.00685
Kohler, E., Keysers, C., Umiltà, M. A., Fogassi, L., Gallese, V., & Rizzolatti, G. (2002). Hearing sounds, understanding actions: Action representation in mirror neurons. Science, 297(5582), 846–848. https://doi.org/10.1126/science.1070311
*Kotz, S. A., Cappa, S. F., von Cramon, D. Y., & Friederici, A. D. (2002). Modulation of the lexical‐semantic network by auditory semantic priming: An event‐related functional MRI study. NeuroImage, 17(4), 1761–1772. https://doi.org/10.1006/nimg.2002.1316
*Kousaie, S., Baum, S., Phillips, N. A., Gracco, V., Titone, D., Chen, J. K., Chai, X. J., & Klein, D. (2019). Language learning experience and mastering the challenges of perceiving speech in noise. Brain and Language, 196, 104645. https://doi.org/10.1016/j.bandl.2019.104645
*Kristensen, L. B., Engberg‐Pedersen, E., & Wallentin, M. (2014). Context predicts word order processing in Broca's region. Journal of Cognitive Neuroscience, 26(12), 2762–2777. https://doi.org/10.1162/jocn_a_00681
*Kyong, J. S., Scott, S. K., Rosen, S., Howe, T. B., Agnew, Z. K., & McGettigan, C. (2014). Exploring the roles of spectral detail and intonation contour in speech intelligibility: An FMRI study. Journal of Cognitive Neuroscience, 26(8), 1748–1763. https://doi.org/10.1162/jocn_a_00583
Lancaster, J. L., Rainey, L. H., Summerlin, J. L., Freitas, C. S., Fox, P. T., Evans, A. C., Toga, A. W., & Mazziotta, J. C. (1997). Automated labeling of the human brain: A preliminary report on the development and evaluation of a forward‐transform method. Human Brain Mapping, 5(4), 238–242. https://doi.org/10.1002/(sici)1097-0193(1997)5:4<238::aid-hbm6>3.0.co;2-4
Lancaster, J. L., Tordesillas‐Gutiérrez, D., Martinez, M., Salinas, F., Evans, A., Zilles, K., Mazziotta, J. C., & Fox, P. T. (2007). Bias between MNI and Talairach coordinates analyzed using the ICBM‐152 brain template. Human Brain Mapping, 28(11), 1194–1205. https://doi.org/10.1002/hbm.20345
Lancaster, J. L., Woldorff, M. G., Parsons, L. M., Liotti, M., Freitas, C. S., Rainey, L., Kochunov, P. V., Nickerson, D., Mikiten, S. A., & Fox, P. T. (2000). Automated Talairach atlas labels for functional brain mapping. Human Brain Mapping, 10(3), 120–131. https://doi.org/10.1002/1097-0193(200007)10:3<120::aid-hbm30>3.0.co;2-8
*Lee, Y. S., Min, N. E., Wingfield, A., Grossman, M., & Peelle, J. E. (2016). Acoustic richness modulates the neural networks supporting intelligible speech processing. Hearing Research, 333, 108–117. https://doi.org/10.1016/j.heares.2015.12.008
Lee, Y.‐S., Turkeltaub, P., Granger, R., & Raizada, R. D. S. (2012). Categorical speech processing in Broca's area: An fMRI study using multivariate pattern‐based analysis. The Journal of Neuroscience, 32(11), 3942–3948. https://doi.org/10.1523/jneurosci.3814-11.2012
*Lee, Y. S., Wingfield, A., Min, N. E., Kotloff, E., Grossman, M., & Peelle, J. E. (2018). Differences in hearing acuity among “normal‐hearing” young adults modulate the neural basis for speech comprehension. eNeuro, 5(3), 1–12. https://doi.org/10.1523/ENEURO.0263-17.2018
Liberman, A. M., Cooper, F. S., Shankweiler, D. P., & Studdert‐Kennedy, M. (1967). Perception of the speech code. Psychological Review, 74(6), 431–461. https://doi.org/10.1037/h0020279
Liberman, A. M., & Mattingly, I. G. (1985). The motor theory of speech perception revised. Cognition, 21(1), 1–36. https://doi.org/10.1016/0010-0277(85)90021-6
Liebenthal, E., & Möttönen, R. (2018). An interactive model of auditory‐motor speech perception. Brain and Language, 187, 33–40. https://doi.org/10.1016/j.bandl.2017.12.004
Lima, C. F., Krishnan, S., & Scott, S. K. (2016). Roles of supplementary motor areas in auditory processing and auditory imagery. Trends in Neurosciences, 39(8), 527–542. https://doi.org/10.1016/j.tins.2016.06.003
*Lin, Y., Tsao, Y., & Hsieh, P. J. (2022). Neural correlates of individual differences in predicting ambiguous sounds comprehension level. NeuroImage, 251, 119012. https://doi.org/10.1016/j.neuroimage.2022.119012
*Lopes, T. M., Yasuda, C. L., Campos, B. M., Balthazar, M. L. F., Binder, J. R., & Cendes, F. (2016). Effects of task complexity on activation of language areas in a semantic decision fMRI protocol. Neuropsychologia, 81, 140–148. https://doi.org/10.1016/j.neuropsychologia.2015.12.020
Luppino, G., Matelli, M., Camarda, R., & Rizzolatti, G. (1993). Corticocortical connections of area F3 (SMA‐proper) and area F6 (pre‐SMA) in the macaque monkey. The Journal of Comparative Neurology, 338(1), 114–140. https://doi.org/10.1002/cne.903380109
*Lyu, B., Ge, J., Niu, Z., Tan, L. H., & Gao, J. H. (2016). Predictive brain mechanisms in sound‐to‐meaning mapping during speech processing. The Journal of Neuroscience, 36(42), 10813–10822. https://doi.org/10.1523/JNEUROSCI.0583-16.2016
Mălîia, M. D., Donos, C., Barborica, A., Popa, I., Ciurea, J., Cinatti, S., & Mîndruţă, I. (2018). Functional mapping and effective connectivity of the human operculum. Cortex, 109, 303–321. https://doi.org/10.1016/j.cortex.2018.08.024
*Manan, H., Franz, L., Yusoff, A., & Mukari, S. (2012). Hippocampal‐cerebellar involvement in enhancement of performance in word‐based BRT with the presence of background noise: An initial fMRI study. Psychology & Neuroscience, 5, 247–256. https://doi.org/10.3922/j.psns.2012.2.16
Matchin, W., Groulx, K., & Hickok, G. (2014). Audiovisual speech integration does not rely on the motor system: Evidence from articulatory suppression, the McGurk effect, and fMRI. Journal of Cognitive Neuroscience, 26(3), 606–620. https://doi.org/10.1162/jocn_a_00515
Mayka, M. A., Corcos, D. M., Leurgans, S. E., & Vaillancourt, D. E. (2006). Three‐dimensional locations and boundaries of motor and premotor cortices as defined by functional brain imaging: A meta‐analysis. NeuroImage, 31(4), 1453–1474. https://doi.org/10.1016/j.neuroimage.2006.02.004
McGettigan, C., & Tremblay, P. (2018). In S.‐A. Rueschemeyer & M. G. Gaskell (Eds.), Links between perception and production examining the roles of motor and premotor cortices in understanding speech. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780198786825.013.14
McHugh, M. L. (2012). Interrater reliability: The kappa statistic. Biochemia Medicine, 22(3), 276–282.
*Mechtenberg, H., Xie, X., & Myers, E. B. (2021). Sentence predictability modulates cortical response to phonetic ambiguity. Brain and Language, 218, 104959. https://doi.org/10.1016/j.bandl.2021.104959
Meister, I. G., Wilson, S. M., Deblieck, C., Wu, A. D., & Iacoboni, M. (2007). The essential role of premotor cortex in speech perception. Current Biology, 17(19), 1692–1696. https://doi.org/10.1016/j.cub.2007.08.064
*Mellet, E., Tzourio, N., Denis, M., & Mazoyer, B. (1998). Cortical anatomy of mental imagery of concrete nouns based on their dictionary definition. Neuroreport, 9(5), 803–808. https://doi.org/10.1097/00001756-199803300-00007
*Meltzer, J. A., McArdle, J. J., Schafer, R. J., & Braun, A. R. (2010). Neural aspects of sentence comprehension: Syntactic complexity, reversibility, and reanalysis. Cerebral Cortex, 20(8), 1853–1864. https://doi.org/10.1093/cercor/bhp249
*Meyer, L., Obleser, J., Anwander, A., & Friederici, A. D. (2012). Linking ordering in Broca's area to storage in left temporo‐parietal regions: The case of sentence processing. NeuroImage, 62(3), 1987–1998. https://doi.org/10.1016/j.neuroimage.2012.05.052
*Meyer, M., Alter, K., Friederici, A. D., Lohmann, G., & von Cramon, D. Y. (2002). fMRI reveals brain regions mediating slow prosodic modulations in spoken sentences. Human Brain Mapping, 17(2), 73–88. https://doi.org/10.1002/hbm.10042
*Meyer, M., Steinhauer, K., Alter, K., Friederici, A. D., & von Cramon, D. Y. (2004). Brain activity varies with modulation of dynamic pitch variance in sentence melody. Brain and Language, 89(2), 277–289. https://doi.org/10.1016/S0093-934X(03)00350-X
Mottonen, R., Rogers, J., & Watkins, K. E. (2014). Stimulating the lip motor cortex with transcranial magnetic stimulation. Journal of Visualized Experiments, 88, e51665. https://doi.org/10.3791/51665
Muthukumaraswamy, S. D., Johnson, B., Gaetz, W. C., & Cheyne, D. O. (2004). Neuromagnetic imaging reveals primary motor cortex activation during the observation of oro‐facial movements. Neurology and Clinical Neurophysiology, 2, 5–8.
Nachev, P., Wydell, H., O'Neill, K., Husain, M., & Kennard, C. (2007). The role of the pre‐supplementary motor area in the control of action. NeuroImage, 36(Suppl 2), T155–T163. https://doi.org/10.1016/j.neuroimage.2007.03.034
*Nagels, A., Kauschke, C., Schrauf, J., Whitney, C., Straube, B., & Kircher, T. (2013). Neural substrates of figurative language during natural speech perception: An fMRI study. Frontiers in Behavioral Neuroscience, 7, 8. https://doi.org/10.3389/fnbeh.2013.00121
*Obleser, J., & Kotz, S. A. (2010). Expectancy constraints in degraded speech modulate the language comprehension network. Cerebral Cortex, 20(3), 633–640. https://doi.org/10.1093/cercor/bhp128
*Obleser, J., Meyer, L., & Friederici, A. D. (2011). Dynamic assignment of neural resources in auditory comprehension of complex sentences. NeuroImage, 56(4), 2310–2320. https://doi.org/10.1016/j.neuroimage.2011.03.035
*Obleser, J., Zimmermann, J., Van Meter, J., & Rauschecker, J. P. (2007). Multiple stages of auditory speech perception reflected in event‐related fMRI. Cerebral Cortex, 17(10), 2251–2257. https://doi.org/10.1093/cercor/bhl133
Okada, K., & Hickok, G. (2006). Left posterior auditory‐related cortices participate both in speech perception and speech production: Neural overlap revealed by fMRI. Brain and Language, 98(1), 112–117. https://doi.org/10.1016/j.bandl.2006.04.006
*Olano, M. A., Elizalde Acevedo, B., Chambeaud, N., Acuña, A., Marcó, M., Kochen, S., & Alba‐Ferrara, L. (2020). Emotional salience enhances intelligibility in adverse acoustic conditions. Neuropsychologia, 147, 107580. https://doi.org/10.1016/j.neuropsychologia.2020.107580
Osnes, B., Hugdahl, K., & Specht, K. (2011). Effective connectivity analysis demonstrates involvement of premotor cortex during speech perception. NeuroImage, 54(3), 2437–2445. https://doi.org/10.1016/j.neuroimage.2010.09.078
Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo‐Wilson, E., McDonald, S., McGuinness, L. A, … Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
Panouillères, M. T. N., Boyles, R., Chesters, J., Watkins, K. E., & Möttönen, R. (2018). Facilitation of motor excitability during listening to spoken sentences is not modulated by noise or semantic coherence. Cortex, 103, 44–54. https://doi.org/10.1016/j.cortex.2018.02.007
*Peelle, J. E., Eason, R. J., Schmitter, S., Schwarzbauer, C., & Davis, M. H. (2010). Evaluating an acoustically quiet EPI sequence for use in fMRI studies of speech and auditory processing. NeuroImage, 52(4), 1410–1419. https://doi.org/10.1016/j.neuroimage.2010.05.015
*Peelle, J. E., McMillan, C., Moore, P., Grossman, M., & Wingfield, A. (2004). Dissociable patterns of brain activity during comprehension of rapid and syntactically complex speech: Evidence from fMRI. Brain and Language, 91(3), 315–325. https://doi.org/10.1016/j.bandl.2004.05.007
Perron, M., Ross, B., & Alain, C. (2024). Left motor cortex contributes to auditory phonological discrimination. Cerebral Cortex. https://doi.org/10.1093/cercor/bhae369
Picard, N., & Strick, P. L. (2001). Imaging the premotor areas. Current Opinion in Neurobiology, 11(6), 663–672. https://doi.org/10.1016/s0959-4388(01)00266-5
*Planton, S., Chanoine, V., Sein, J., Anton, J. L., Nazarian, B., Pallier, C., & Pattamadilok, C. (2019). Top‐down activation of the visuo‐orthographic system during spoken sentence processing. NeuroImage, 202, 116135. https://doi.org/10.1016/j.neuroimage.2019.116135
Pulvermüller, F., Huss, M., Kherif, F., del Prado, M., Martin, F., Hauk, O., & Shtyrov, Y. (2006). Motor cortex maps articulatory features of speech sounds. Proceedings of the National Academy of Sciences of the United States of America, 103(20), 7865–7870. https://doi.org/10.1073/pnas.0509989103
*Raettig, T., Frisch, S., Friederici, A. D., & Kotz, S. A. (2010). Neural correlates of morphosyntactic and verb‐argument structure processing: An EfMRI study. Cortex, 46(5), 613–620. https://doi.org/10.1016/j.cortex.2009.06.003
*Rammell, C. S., Cheng, H., Pisoni, D. B., & Newman, S. D. (2019). L2 speech perception in noise: An fMRI study of advanced Spanish learners. Brain Research, 1720, 146316. https://doi.org/10.1016/j.brainres.2019.146316
Rauschecker, J. P., & Scott, S. K. (2009). Maps and streams in the auditory cortex: Nonhuman primates illuminate human speech processing. Nature Neuroscience, 12(6), 718–724. https://doi.org/10.1038/nn.2331
Riès, S. K., Karzmark, C. R., Navarrete, E., Knight, R. T., & Dronkers, N. F. (2015). Specifying the role of the left prefrontal cortex in word selection. Brain and Language, 149, 135–147. https://doi.org/10.1016/j.bandl.2015.07.007
*Rissman, J., Eliassen, J. C., & Blumstein, S. E. (2003). An event‐related FMRI investigation of implicit semantic priming. Journal of Cognitive Neuroscience, 15(8), 1160–1175. https://doi.org/10.1162/089892903322598120
Rizzolatti, G., & Craighero, L. (2004). The mirror‐neuron system. Annual Review of Neuroscience, 27, 169–192. https://doi.org/10.1146/annurev.neuro.27.070203.144230
*Rodd, J. M., Davis, M. H., & Johnsrude, I. S. (2005). The neural mechanisms of speech comprehension: fMRI studies of semantic ambiguity. Cerebral Cortex, 15(8), 1261–1269. https://doi.org/10.1093/cercor/bhi009
*Rodd, J. M., Longe, O. A., Randall, B., & Tyler, L. K. (2010). The functional organisation of the fronto‐temporal language system: Evidence from syntactic and semantic ambiguity. Neuropsychologia, 48(5), 1324–1335. https://doi.org/10.1016/j.neuropsychologia.2009.12.035
*Rothermich, K., & Kotz, S. A. (2013). Predictions in speech comprehension: fMRI evidence on the meter‐semantic interface. NeuroImage, 70, 89–100. https://doi.org/10.1016/j.neuroimage.2012.12.013
*Ruff, I., Blumstein, S. E., Myers, E. B., & Hutchison, E. (2008). Recruitment of anterior and posterior structures in lexical‐semantic processing: An fMRI study comparing implicit and explicit tasks. Brain and Language, 105(1), 41–49. https://doi.org/10.1016/j.bandl.2008.01.003
*Rüschemeyer, S. A., Fiebach, C. J., Kempe, V., & Friederici, A. D. (2005). Processing lexical semantic and syntactic information in first and second language: fMRI evidence from German and Russian. Human Brain Mapping, 25(2), 266–286. https://doi.org/10.1002/hbm.20098
*Rysop, A. U., Schmitt, L. M., Obleser, J., & Hartwigsen, G. (2021). Neural modelling of the semantic predictability gain under challenging listening conditions. Human Brain Mapping, 42(1), 110–127. https://doi.org/10.1002/hbm.25208
*Sabri, M., Binder, J. R., Desai, R., Medler, D. A., Leitl, M. D., & Liebenthal, E. (2008). Attentional and linguistic interactions in speech perception. NeuroImage, 39(3), 1444–1456. https://doi.org/10.1016/j.neuroimage.2007.09.052
*Salvi, R. J., Lockwood, A. H., Frisina, R. D., Coad, M. L., Wack, D. S., & Frisina, D. R. (2002). PET imaging of the normal human auditory system: Responses to speech in quiet and in background noise. Hearing Research, 170(1–2), 96–106. https://doi.org/10.1016/s0378-5955(02)00386-6
Sato, M., Tremblay, P., & Gracco, V. L. (2009). A mediating role of the premotor cortex in phoneme segmentation. Brain and Language, 111(1), 1–7. https://doi.org/10.1016/j.bandl.2009.03.002
*Scott, S. K., Rosen, S., Wickham, L., & Wise, R. J. (2004). A positron emission tomography study of the neural basis of informational and energetic masking effects in speech perception. The Journal of the Acoustical Society of America, 115(2), 813–821. https://doi.org/10.1121/1.1639336
Seeley, W. W., Menon, V., Schatzberg, A. F., Keller, J., Glover, G. H., Kenna, H., Reiss, A. L., & Greicius, M. D. (2007). Dissociable intrinsic connectivity networks for salience processing and executive control. The Journal of Neuroscience, 27(9), 2349–2356. https://doi.org/10.1523/jneurosci.5587-06.2007
*Sekiyama, K., Kanno, I., Miura, S., & Sugita, Y. (2003). Auditory‐visual speech perception examined by fMRI and PET. Neuroscience Research, 47(3), 277–287. https://doi.org/10.1016/s0168-0102(03)00214-1
Shahin, A. J., Bishop, C. W., & Miller, L. M. (2009). Neural mechanisms for illusory filling‐in of degraded speech. NeuroImage, 44(3), 1133–1143. https://doi.org/10.1016/j.neuroimage.2008.09.045
*Sharp, D. J., Awad, M., Warren, J. E., Wise, R. J., Vigliocco, G., & Scott, S. K. (2010). The neural response to changing semantic and perceptual complexity during language processing. Human Brain Mapping, 31(3), 365–377. https://doi.org/10.1002/hbm.20871
*Shetreet, E., Friedmann, N., & Hadar, U. (2009). An fMRI study of syntactic layers: Sentential and lexical aspects of embedding. NeuroImage, 48(4), 707–716. https://doi.org/10.1016/j.neuroimage.2009.07.001
*Siebörger, F. T., Ferstl, E. C., & von Cramon, D. Y. (2007). Making sense of nonsense: An fMRI study of task induced inference processes during discourse comprehension. Brain Research, 1166, 77–91. https://doi.org/10.1016/j.brainres.2007.05.079
Smalle, E. H. M., Rogers, J., & Möttönen, R. (2015). Dissociating contributions of the motor cortex to speech perception and response bias by using transcranial magnetic stimulation. Cerebral Cortex, 25(10), 3690–3698. https://doi.org/10.1093/cercor/bhu218
Stasenko, A., Garcea, F. E., & Mahon, B. Z. (2013). What happens to the motor theory of perception when the motor system is damaged? Language and Cognition, 5(2–3), 225–238. https://doi.org/10.1515/langcog-2013-0016
*Takeichi, H., Koyama, S., Terao, A., Takeuchi, F., Toyosawa, Y., & Murohashi, H. (2010). Comprehension of degraded speech sounds with m‐sequence modulation: An fMRI study. NeuroImage, 49(3), 2697–2706. https://doi.org/10.1016/j.neuroimage.2009.10.063
Thompson‐Schill, S. L., D'Esposito, M., Aguirre, G. K., & Farah, M. J. (1997). Role of left inferior prefrontal cortex in retrieval of semantic knowledge: A reevaluation. Proceedings of the National Academy of Sciences of the United States of America, 94(26), 14792–14797. https://doi.org/10.1073/pnas.94.26.14792
Tremblay, P., Deschamps, I., & Gracco, V. L. (2013). Regional heterogeneity in the processing and the production of speech in the human planum temporale. Cortex, 49(1), 143–157. https://doi.org/10.1016/j.cortex.2011.09.004
Tremblay, P., & Gracco, V. L. (2006). Contribution of the frontal lobe to externally and internally specified verbal responses: fMRI evidence. NeuroImage, 33(3), 947–957. https://doi.org/10.1016/j.neuroimage.2006.07.041
Tremblay, P., & Gracco, V. L. (2009). Contribution of the pre‐SMA to the production of words and non‐speech oral motor gestures, as revealed by repetitive transcranial magnetic stimulation (rTMS). Brain Research, 1268, 112–124. https://doi.org/10.1016/j.brainres.2009.02.076
Tremblay, P., & Small, S. L. (2011a). From language comprehension to action understanding and back again. Cerebral Cortex, 21(5), 1166–1177. https://doi.org/10.1093/cercor/bhq189
Tremblay, P., & Small, S. L. (2011b). Motor response selection in overt sentence production: A functional MRI study. Frontiers in Psychology, 2, 253. https://doi.org/10.3389/fpsyg.2011.00253
*Tuennerhoff, J., & Noppeney, U. (2016). When sentences live up to your expectations. NeuroImage, 124(Pt A), 641–653. https://doi.org/10.1016/j.neuroimage.2015.09.004
*Tune, S., Schlesewsky, M., Nagels, A., Small, S. L., & Bornkessel‐Schlesewsky, I. (2016). Sentence understanding depends on contextual use of semantic and real world knowledge. NeuroImage, 136, 10–25. https://doi.org/10.1016/j.neuroimage.2016.05.020
Turkeltaub, P. E., Eickhoff, S. B., Laird, A. R., Fox, M., Wiener, M., & Fox, P. (2012). Minimizing within‐experiment and within‐group effects in activation likelihood estimation meta‐analyses. Human Brain Mapping, 33(1), 1–13. https://doi.org/10.1002/hbm.21186
*Tyler, L. K., Stamatakis, E. A., Post, B., Randall, B., & Marslen‐Wilson, W. (2005). Temporal and frontal systems in speech comprehension: An fMRI study of past tense processing. Neuropsychologia, 43(13), 1963–1974. https://doi.org/10.1016/j.neuropsychologia.2005.03.008
Unger, N., Haeck, M., Eickhoff, S. B., Camilleri, J. A., Dickscheid, T., Mohlberg, H., Bludau, S., Caspers, S., & Amunts, K. (2023). Cytoarchitectonic mapping of the human frontal operculum‐new correlates for a variety of brain functions. Frontiers in Human Neuroscience, 17, 1087026. https://doi.org/10.3389/fnhum.2023.1087026
*Vaden, K. I., Jr., Kuchinsky, S. E., Cute, S. L., Ahlstrom, J. B., Dubno, J. R., & Eckert, M. A. (2013). The cingulo‐opercular network provides word‐recognition benefit. The Journal of Neuroscience, 33(48), 18979–18986. https://doi.org/10.1523/JNEUROSCI.1417-13.2013
*Vaden, K. I., Jr., Teubner‐Rhodes, S., Ahlstrom, J. B., Dubno, J. R., & Eckert, M. A. (2017). Cingulo‐opercular activity affects incidental memory encoding for speech in noise. NeuroImage, 157, 381–387. https://doi.org/10.1016/j.neuroimage.2017.06.028
Vagharchakian, L., Dehaene‐Lambertz, G., Pallier, C., & Dehaene, S. (2012). A temporal bottleneck in the language comprehension network. The Journal of Neuroscience, 32(26), 9089–9102. https://doi.org/10.1523/jneurosci.5685-11.2012
Van der Haegen, L., & Cai, Q. (2019). Lateralization of language. In G. I. de Zubicaray & N. O. Schiller (Eds.), The Oxford handbook of neurolinguistics. Oxford University Press. https://doi.org/10.1093/oxfordhb/9780190672027.013.34
*Vitello, S., Warren, J. E., Devlin, J. T., & Rodd, J. M. (2014). Roles of frontal and temporal regions in reinterpreting semantically ambiguous sentences. Frontiers in Human Neuroscience, 8, 14. https://doi.org/10.3389/fnhum.2014.00530
Vouloumanos, A., Kiehl, K. A., Werker, J. F., & Liddle, P. F. (2001). Detection of sounds in the auditory stream: Event‐related fMRI evidence for differential activation to speech and nonspeech. Journal of Cognitive Neuroscience, 13(7), 994–1005. https://doi.org/10.1162/089892901753165890
*Wartenburger, I., Heekeren, H. R., Burchert, F., Heinemann, S., De Bleser, R., & Villringer, A. (2004). Neural correlates of syntactic transformations. Human Brain Mapping, 22(1), 72–81. https://doi.org/10.1002/hbm.20021
Watkins, K., & Paus, T. (2004). Modulation of motor excitability during speech perception: The role of Broca's area. Journal of Cognitive Neuroscience, 16(6), 978–987. https://doi.org/10.1162/0898929041502616
*Wild, C. J., Davis, M. H., & Johnsrude, I. S. (2012). Human auditory cortex is sensitive to the perceived clarity of speech. NeuroImage, 60(2), 1490–1502. https://doi.org/10.1016/j.neuroimage.2012.01.035
*Wild, C. J., Yusuf, A., Wilson, D. E., Peelle, J. E., Davis, M. H., & Johnsrude, I. S. (2012). Effortful listening: The processing of degraded speech depends critically on attention. The Journal of Neuroscience, 32(40), 14010–14021. https://doi.org/10.1523/JNEUROSCI.1528-12.2012
Wilson, S. M., Saygin, A. P., Sereno, M. I., & Iacoboni, M. (2004). Listening to speech activates motor areas involved in speech production. Nature Neuroscience, 7(7), 701–702. https://doi.org/10.1038/nn1263
*Wong, P. C., Uppunda, A. K., Parrish, T. B., & Dhar, S. (2008). Cortical mechanisms of speech perception in noise. Journal of Speech, Language, and Hearing Research, 51(4), 1026–1041. https://doi.org/10.1044/1092-4388(2008/075)
*Wright, P., Randall, B., Marslen‐Wilson, W. D., & Tyler, L. K. (2011). Dissociating linguistic and task‐related activity in the left inferior frontal gyrus. Journal of Cognitive Neuroscience, 23(2), 404–413. https://doi.org/10.1162/jocn.2010.21450
Wu, Z. M., Chen, M. L., Wu, X. H., & Li, L. (2014). Interaction between auditory and motor systems in speech perception. Neuroscience Bulletin, 30(3), 490–496. https://doi.org/10.1007/s12264-013-1428-6
*Yang, Y. H., Marslen‐Wilson, W. D., & Bozic, M. (2017). Syntactic complexity and frequency in the neurocognitive language system. Journal of Cognitive Neuroscience, 29(9), 1605–1620. https://doi.org/10.1162/jocn_a_01137
*Yu, T., Lang, S., Birbaumer, N., & Kotchoubey, B. (2011). Listening to factually incorrect sentences activates classical language areas and thalamus. Neuroreport, 22(17), 865–869. https://doi.org/10.1097/WNR.0b013e32834b6fc6
*Yusoff, A., Ng, S., Teng, X. L., & abd hamid, A. (2014). Investigating brain activation and neural efficacy during simple arithmetic addition task in quiet and in noise: An fMRI study. Jurnal Sains Kesihatan Malaysia, 12, 23–33. https://doi.org/10.17576/jskm-1201-2014-04
Zatorre, R. J., Evans, A. C., & Meyer, E. (1994). Neural mechanisms underlying melodic perception and memory for pitch. The Journal of Neuroscience, 14(4), 1908–1919. https://doi.org/10.1523/JNEUROSCI.14-04-01908.1994
*Zekveld, A. A., Heslenfeld, D. J., Johnsrude, I. S., Versfeld, N. J., & Kramer, S. E. (2014). The eye as a window to the listening brain: Neural correlates of pupil size as a measure of cognitive listening load. NeuroImage, 101, 76–86. https://doi.org/10.1016/j.neuroimage.2014.06.069
*Zekveld, A. A., Rudner, M., Johnsrude, I. S., Heslenfeld, D. J., & Rönnberg, J. (2012). Behavioral and fMRI evidence that cognitive ability modulates the effect of semantic context on speech intelligibility. Brain and Language, 122(2), 103–113. https://doi.org/10.1016/j.bandl.2012.05.006
*Zhuang, J., Randall, B., Stamatakis, E. A., Marslen‐Wilson, W. D., & Tyler, L. K. (2011). The interaction of lexical semantics and cohort competition in spoken word recognition: An fMRI study. Journal of Cognitive Neuroscience, 23(12), 3778–3790. https://doi.org/10.1162/jocn_a_00046

Auteurs

Maxime Perron (M)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada.
Department of Psychology, University of Toronto, Toronto, Ontario, Canada.

Veronica Vuong (V)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada.
Institute of Medical Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, Ontario, Canada.

Madison W Grassi (MW)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada.

Ashna Imran (A)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada.

Claude Alain (C)

Rotman Research Institute, Baycrest Academy for Research and Education, Toronto, Ontario, Canada.
Department of Psychology, University of Toronto, Toronto, Ontario, Canada.
Institute of Medical Sciences, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Music and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, Ontario, Canada.

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