Enhancing speech perception in noise through articulation.
aging
articulation
speech motor
speech perception
speech production
Journal
Annals of the New York Academy of Sciences
ISSN: 1749-6632
Titre abrégé: Ann N Y Acad Sci
Pays: United States
ID NLM: 7506858
Informations de publication
Date de publication:
26 Jun 2024
26 Jun 2024
Historique:
medline:
26
6
2024
pubmed:
26
6
2024
entrez:
26
6
2024
Statut:
aheadofprint
Résumé
Considerable debate exists about the interplay between auditory and motor speech systems. Some argue for common neural mechanisms, whereas others assert that there are few shared resources. In four experiments, we tested the hypothesis that priming the speech motor system by repeating syllable pairs aloud improves subsequent syllable discrimination in noise compared with a priming discrimination task involving same-different judgments via button presses. Our results consistently showed that participants who engaged in syllable repetition performed better in syllable discrimination in noise than those who engaged in the priming discrimination task. This gain in accuracy was observed for primed and new syllable pairs, highlighting increased sensitivity to phonological details. The benefits were comparable whether the priming tasks involved auditory or visual presentation. Inserting a 1-h delay between the priming tasks and the syllable-in-noise task, the benefits persisted but were confined to primed syllable pairs. Finally, we demonstrated the effectiveness of this approach in older adults. Our findings substantiate the existence of a speech production-perception relationship. They also have clinical relevance as they raise the possibility of production-based interventions to improve speech perception ability. This would be particularly relevant for older adults who often encounter difficulties in perceiving speech in noise.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : William Demant Foundation
ID : 20-1260
Organisme : Natural Sciences and Engineering Research Council of Canada
ID : RGPIN-2021-02721
Organisme : CIHR
Pays : Canada
Informations de copyright
© 2024 The Author(s). Annals of the New York Academy of Sciences published by Wiley Periodicals LLC on behalf of The New York Academy of Sciences.
Références
McGettigan, C., & Tremblay, P. (2018). Links between perception and production: Examining the roles of motor and premotor cortices in understanding speech. In S.‐A. Rueschemeyer & M. G. Gaskell (Eds.), The Oxford Handbook of Psycholinguistics (2nd ed., pp. 306–332). Oxford University Press.
Liberman, A. M., Cooper, F. S., Shankweiler, D. P., & Studdert‐Kennedy, M. (1967). Perception of the speech code. Psychological Review, 74, 431–461.
Liberman, A. M., & Mattingly, I. G. (1985). The motor theory of speech perception revised. Cognition, 21, 1–36.
Diehl, R. L., Lotto, A. J., & Holt, L. L. (2004). Speech perception. Annual Review of Psychology, 55, 149–179.
Tremblay, P., & Small, S. L. (2011). On the context‐dependent nature of the contribution of the ventral premotor cortex to speech perception. Neuroimage, 57, 1561–1571.
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, 701–702.
Adank, P. (2012). The neural bases of difficult speech comprehension and speech production: Two Activation Likelihood Estimation (ALE) meta‐analyses. Brain and Language, 122, 42–54.
Pulvermüller, F., Huss, M., Kherif, F., Moscoso Del Prado 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, 7865–7870.
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.
Wong, P. C. M., Jin, J. X., Gunasekera, G. M., Abel, R., Lee, E. R., & Dhar, S. (2009). Aging and cortical mechanisms of speech perception in noise. Neuropsychologia, 47, 693–703.
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, 1692–1696.
D'ausilio, A., Pulvermüller, F., Salmas, P., Bufalari, I., Begliomini, C., & Fadiga, L. (2009). The motor somatotopy of speech perception. Current Biology, 19, 381–385.
Sato, M., Tremblay, P., & Gracco, V. L. (2009). A mediating role of the premotor cortex in phoneme segmentation. Brain and Language, 111, 1–7.
Schomers, M. R., Kirilina, E., Weigand, A., Bajbouj, M., & Pulvermüller, F. (2015). Causal influence of articulatory motor cortex on comprehending single spoken words: TMS evidence. Cerebral Cortex, 25, 3894–3902.
Brisson, V., & Tremblay, P. (2021). Improving speech perception in noise in young and older adults using transcranial magnetic stimulation. Brain and Language, 222, 105009.
Pulvermüller, F., & Fadiga, L. (2010). Active perception: Sensorimotor circuits as a cortical basis for language. Nature Reviews Neuroscience, 11, 351–360.
Scott, S. K., Mcgettigan, C., & Eisner, F. (2009). A little more conversation, a little less action—Candidate roles for the motor cortex in speech perception. Nature Reviews Neuroscience, 10, 295–302.
Lotto, A. J., Hickok, G. S., & Holt, L. L. (2009). Reflections on mirror neurons and speech perception. Trends in Cognitive Sciences, 13, 110–114.
Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews Neuroscience, 8, 393–402.
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, 214–220.
Hickok, G. (2010). The role of mirror neurons in speech perception and action word semantics. Language and Cognitive Processes, 25, 749–776.
Wu, Z.‐M., Chen, M.‐L., Wu, X.‐H., & Li, L. (2014). Interaction between auditory and motor systems in speech perception. Neuroscience Bulletin, 30, 490–496.
Stokes, R. C., Venezia, J. H., & Hickok, G. (2019). The motor system's [modest] contribution to speech perception. Psychonomic Bulletin & Review, 26, 1354–1366.
Killion, M. C., Niquette, P. A., Gudmundsen, G. I., Revit, L. J., & Banerjee, S. (2004). Development of a quick speech‐in‐noise test for measuring signal‐to‐noise ratio loss in normal‐hearing and hearing‐impaired listeners. Journal of the Acoustical Society of America, 116, 2395–2405.
Tucker, B. V., Brenner, D., Danielson, D. K., Kelley, M. C., Nenadić, F., & Sims, M. (2019). The massive auditory lexical decision (MALD) database. Behavior Research Methods, 51, 1187–1204.
Hautus, M., Macmillan, N. A., & Creelman, C. D. (2004). Detection Theory: A User's Guide. Routledge.
R Core Team. (2021). R: A language and environment for statistical computing. R Foundation for Statistical Computing.
RStudio Team. (2022). RStudio: Integrated development environment for R. RStudio, PBC.
Panouillères, M. T. N., & Möttönen, R. (2018). Decline of auditory‐motor speech processing in older adults with hearing loss. Neurobiology of Aging, 72, 89–97.
Slade, K., Beat, A., Taylor, J., Plack, C. J., & Nuttall, H. E. (2023). The effect of motor resource suppression on speech perception in noise in younger and older listeners: An online study. Psychonomic Bulletin & Review, 31(1), 389–400.
Osnes, B., Hugdahl, K., & Specht, K. (2011). Effective connectivity analysis demonstrates involvement of premotor cortex during speech perception. Neuroimage, 54, 2437–2445.
Du, Y., Buchsbaum, B. R., Grady, C. L., & Alain, C. (2014). Noise differentially impacts phoneme representations in the auditory and speech motor systems. PNAS, 111, 7126–7131.
Tremblay, P., Perron, M., Deschamps, I., Kennedy‐Higgins, D., Houde, J.‐C., Dick, A. S., & Descoteaux, M. (2019). The role of the arcuate and middle longitudinal fasciculi in speech perception in noise in adulthood. Human Brain Mapping, 40, 226–241.
Perron, M., Theaud, G., Descoteaux, M., & Tremblay, P. (2021). The frontotemporal organization of the arcuate fasciculus and its relationship with speech perception in young and older amateur singers and non‐singers. Human Brain Mapping, 42, 3058–3076.
Tourville, J. A., & Guenther, F. H. (2011). The DIVA model: A neural theory of speech acquisition and production. Language & Cognitive Processes, 26, 952–981.
Guenther, F. H., & Vladusich, T. (2012). A neural theory of speech acquisition and production. Journal of Neurolinguistics, 25, 408–422.
Jannati, A., Oberman, L. M., Rotenberg, A., & Pascual‐Leone, A. (2023). Assessing the mechanisms of brain plasticity by transcranial magnetic stimulation. Neuropsychopharmacology, 48, 191–208.
Perron, M., Vaillancourt, J., & Tremblay, P. (2022). Amateur singing benefits speech perception in aging under certain conditions of practice: Behavioural and neurobiological mechanisms. Brain Structure and Function, 227, 943–962.
Dubinsky, E., Wood, E. A., Nespoli, G., & Russo, F. A. (2019). Short‐term choir singing supports speech‐in‐noise perception and neural pitch strength in older adults with age‐related hearing loss. Frontiers in Neuroscience, 13, 1153.
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, 673–682.
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, 112–117.
Lametti, D. R., Rochet‐Capellan, A., Neufeld, E., Shiller, D. M., & Ostry, D. J. (2014). Plasticity in the human speech motor system drives changes in speech perception. Journal of Neuroscience, 34, 10339–10346.
Macleod, C. M., Gopie, N., Hourihan, K. L., Neary, K. R., & Ozubko, J. D. (2010). The production effect: Delineation of a phenomenon. Journal of Experimental Psychology. Learning, Memory, and Cognition, 36, 671–685.
Forrin, N. D., Macleod, C. M., & Ozubko, J. D. (2012). Widening the boundaries of the production effect. Memory & Cognition, 40, 1046–1055.
Bailey, L. M., Bodner, G. E., Matheson, H. E., Stewart, B. M., Roddick, K., O'neil, K., Simmons, M., Lambert, A. M., Krigolson, O. E., Newman, A. J., & Fawcett, J. M. (2021). Neural correlates of the production effect: An fMRI study. Brain and Cognition, 152, 105757.