Neurological Foundations of Phonetic Sciences

doi:10.1017/9781108644198.017

16 - Neurological Foundations of Phonetic Sciences

from Section IV - Audition and Perception

Published online by Cambridge University Press: 11 November 2021

Francis C. K. Wong ,

Mark Antoniou and

Patrick C. M. Wong

Edited by

Rachael-Anne Knight and

Jane Setter

Show author details

Rachael-Anne Knight: Affiliation:
City, University of London
Jane Setter: Affiliation:
University of Reading

Book contents

Get access

Summary

In this chapter, we provide a historical and a contemporary overview of the hearing brain. We will review how various brain-imaging methods are employed to study how sounds and meanings are represented in the brain. These studies have provided the foundation from which network models of the brain are built. We will conclude with a discussion of the practical aspects of the neuroscience of language, such as how it will further our understanding of the brain and lead to clinical applications.

Keywords

brain MRI EEG connectivity FFR speech learning cognitive neuroscience

Type: Chapter
Information: The Cambridge Handbook of Phonetics , pp. 407 - 429

DOI: https://doi.org/10.1017/9781108644198.017 [Opens in a new window]

Publisher: Cambridge University Press

Print publication year: 2021

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

16.7 References

Abutalebi, J. (2008). Neural aspects of second language representation and language control. Acta Psychologica, 128(3), 466–78.Google Scholar

Abutalebi, J., Della Rosa, P. A., Green, D. W., Hernandez, M., Scifo, P., Keim, R. et al. (2012). Bilingualism tunes the anterior cingulate cortex for conflict monitoring. Cerebral Cortex, 22(9), 2076–86.Google Scholar

Arantes, M., Arantes, J. & Ferreira, M. A. (2018). Tools and resources for neuroanatomy education: A systematic review. BMC Medical Education, 18(1), 94.Google Scholar

Beaulieu, C. (2002). The basis of anisotropic water diffusion in the nervous system: A technical review. NMR in Biomedicine, 15(7–8), 435–55.CrossRef Google Scholar PubMed

Beaulieu, C. (2014). The biological basis of diffusion anisotropy BT – diffusion MRI: From quantitative measurement to in-vivo neuroanatomy. In Johansen-Berg, H. & Behrens, T. E. J., eds., Diffusion MRI: From Quantitative Measurement to In-vivo Neuroanatomy. San Diego, CA: Academic Press, pp. 155–83.Google Scholar

Bidelman, G. M. (2018). Subcortical sources dominate the neuroelectric auditory frequency-following response to speech. NeuroImage, 175, 56–69.Google Scholar

Binder, J. R. (2015). The Wernicke area: Modern evidence and a reinterpretation. Neurology, 85(24), 2170–5.Google Scholar

Binder, J. R., Frost, J. A., Hammeke, T. A., Bellgowan, P. S., Springer, J. A., Kaufman, J. N. et al. (2000). Human temporal lobe activation by speech and nonspeech sounds. Cerebral Cortex, 10(5), 512–28.Google Scholar

Bopp, K. L. & Verhaeghen, P. (2005). Aging and verbal memory span: A meta-analysis. The Journals of Gerontology. Series B, Psychological Sciences and Social Sciences, 60(5), P223–P233.Google Scholar

Brauer, J., Anwander, A. & Friederici, A. D. (2011). Neuroanatomical prerequisites for language functions in the maturing brain. Cerebral Cortex, 21(2), 459–66.Google Scholar

Burke, D. M. & Shafto, M. A. (2004). Aging and language production. Current Directions in Psychological Science, 13(1), 21–4.Google Scholar

Catani, M. & Mesulam, M. (2008). The arcuate fasciculus and the disconnection theme in language and aphasia: history and current state. Cortex, 44(8), 953–61.Google Scholar

Chandrasekaran, B., Hornickel, J., Skoe, E., Nicol, T. & Kraus, N. (2009). Context-dependent encoding in the human auditory brainstem relates to hearing speech in noise: Implications for developmental dyslexia. Neuron, 64(3), 311–19.Google Scholar

Chandrasekaran, B., Chan, A. H. D. & Wong, P. C. M. (2011). Neural processing of what and who information in speech. Journal of Cognitive Neuroscience, 23(10), 2690–700.Google Scholar

Chartier, J., Anumanchipalli, G. K., Johnson, K. & Chang, E. F. (2018). Encoding of articulatory kinematic trajectories in human speech sensorimotor cortex. Neuron, 98(5), 1042–54.Google Scholar

Chee, M. W. L., Hon, N., Lee, H. L. & Soon, C. S. (2001). Relative language proficiency modulates BOLD signal change when bilinguals perform semantic judgments. NeuroImage, 13(6), 1155–63.Google Scholar

Chodosh, J., Reuben, D. B., Albert, M. S. & Seeman, T. E. (2002). Predicting cognitive impairment in high-functioning community-dwelling older persons: MacArthur studies of successful aging. Journal of the American Geriatrics Society, 50(6), 1051–60.Google Scholar

Coffey, E. B. J., Herholz, S. C., Chepesiuk, A. M. P., Baillet, S. & Zatorre, R. J. (2016). Cortical contributions to the auditory frequency-following response revealed by MEG. Nature Communications, 7, 11070.Google Scholar

Cullum, S., Huppert, F. A., Mcgee, M., Dening, T. O. M., Ahmed, A., Paykel, E. S. et al. (2000). Decline across different domains of cognitive function in normal ageing: Results of a longitudinal population-based study using CAMCOG. International Journal of Geriatric Psychiatry, 15(9), 853–62.Google Scholar

Davis, M. H. & Johnsrude, I. S. (2003). Hierarchical processing in spoken language comprehension. The Journal of Neuroscience, 23(8), 3423–31.Google Scholar

Diamond, M. C., Scheibel, A. B. & Elson, L. M. (1985). The Human Brain Coloring Book: Coloring Concepts. New York: HarperCollins.Google Scholar

Drachman, D. A. (2006). Aging of the brain, entropy, and Alzheimer disease. Neurology, 67(8), 1340–52.Google Scholar

Eckert, M. A., Keren, N. I., Roberts, D. R., Calhoun, V. D. & Harris, K. C. (2010). Age-related changes in processing speed: Unique contributions of cerebellar and prefrontal cortex. Frontiers in Human Neuroscience, 4, 10.Google Scholar

Federmeier, K. D., Van Petten, C., Schwartz, T. J. & Kutas, M. (2003). Sounds, words, sentences: Age-related changes across levels of language processing. Psychology and Aging, 18(4), 858–72.Google Scholar

Feng, G., Ingvalson, E. M., Grieco-Calub, T. M., Roberts, M. Y., Ryan, M. E., Birmingham, P. et al. (2018). Neural preservation underlies speech improvement from auditory deprivation in young cochlear implant recipients. Proceedings of the National Academy of Sciences of the United States of America, 115(5), E1022–E1031.Google Scholar

Flinker, A., Korzeniewska, A., Shestyuk, A. Y., Franaszczuk, P. J., Dronkers, N. F., Knight, R. T. et al. (2015). Redefining the role of Broca’s area in speech. Proceedings of the National Academy of Sciences of the United States of America, 112(9), 2871–5.Google Scholar

Formisano, E., De Martino, F., Bonte, M. & Goebel, R. (2008). ‘Who’ is saying ‘what’? Brain-based decoding of human voice and speech. Science, 322(5903), 970–3.Google Scholar

Friederici, A. D. (2002). Towards a neural basis of auditory sentence processing. Trends in Cognitive Sciences, 6(2), 78–84.Google Scholar

Friederici, A. D. (2009). Allocating functions to fiber tracts: Facing its indirectness. Trends in Cognitive Sciences, 13(9), 370–1.Google Scholar

Giles, J. (2010). Clinical neuroscience attachments: A student’s view of ‘neurophobia’. The Clinical Teacher, 7(1), 9–13.Google Scholar

Glasser, M. F. & Rilling, J. K. (2008). DTI tractography of the human brain’s language pathways. Cerebral Cortex, 18(11), 2471–82.Google Scholar

Goebel, R. (2008). Brain Tutor 3D. Retrieved from www.brainvoyager.com.Google Scholar

Golestani, N., Molko, N., Dehaene, S., LeBihan, D. & Pallier, C. (2007). Brain structure predicts the learning of foreign speech sounds. Cerebral Cortex, 17(3), 575–82.Google Scholar

Grady, C. L. & Craik, F. I. (2000). Changes in memory processing with age. Current Opinion in Neurobiology, 10(2), 224–31.Google Scholar

Green, D. W. (2003). Neural basis of lexicon and grammar in L2 acquisition: The convergence hypothesis. In van Hout, R., Hulk, A., Kuiken, F. & Towell, R. J., eds., The Interface Between Syntax and the Lexicon in Second Language Acquisition. Amsterdam: John Benjamins, pp. 197–218.Google Scholar

Greenwood, P. M. (2007). Functional plasticity in cognitive aging: Review and hypothesis. Neuropsychology, 21(6), 657–73.Google Scholar

Hagoort, P. (2005). On Broca, brain, and binding: A new framework. Trends in Cognitive Sciences, 9(9), 416–23.Google Scholar

Harrington, D. L. & Haaland, K. Y. (1992). Skill learning in the elderly: Diminished implicit and explicit memory for a motor sequence. Psychology and Aging, 7(3), 425–34.Google Scholar

Hickok, G. & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews Neuroscience, 8(5), 393–402.Google Scholar

Hirayasu, Y., McCarley, R. W., Salisbury, D. F., Tanaka, S., Kwon, J. S., Frumin, M. et al. (2000). Planum temporale and Heschl’s gyrus volume reduction in schizophrenia: A magnetic resonance imaging study of first-episode patients. Archives of General Psychiatry, 57(7), 692–99.Google Scholar

Johnson, K. & Mullennix, J. W. (1997). Talker Variability in Speech Processing. San Diego, CA: Academic Press.Google Scholar

Kraus, N. & Chandrasekaran, B. (2010). Music training for the development of auditory skills. Nature Reviews Neuroscience, 11(8), 599–605.Google Scholar

Krishnan, A., Xu, Y., Gandour, J. & Cariani, P. (2005). Encoding of pitch in the human brainstem is sensitive to language experience. Brain Research. Cognitive Brain Research, 25(1), 161–8.Google Scholar

Leonard, M. K., Desai, M., Hungate, D., Cai, R., Singhal, N. S., Knowlton, R. C. et al. (2019). Direct cortical stimulation of inferior frontal cortex disrupts both speech and music production in highly trained musicians. Cognitive Neuropsychology, 36(3–4), 158–66.Google Scholar

Liberman, A. M. & Mattingly, I. G. (1985). The motor theory of speech perception revisited. Cognition, 21, 1–36.Google Scholar

Mechelli, A., Crinion, J. T., Noppeney, U., O’Doherty, J., Ashburner, J., Frackowiak, R. S. et al. (2004). Structural plasticity in the bilingual brain. Nature, 431(7010), 757–757.Google Scholar

Menjot de Champfleur, N., Lima Maldonado, I., Moritz-Gasser, S., Machi, P., Le Bars, E., Bonafé, A. et al. (2013). Middle longitudinal fasciculus delineation within language pathways: A diffusion tensor imaging study in human. European Journal of Radiology, 82(1), 151–7.Google Scholar

Mitchell, D. B. & Bruss, P. J. (2003). Age differences in implicit memory: Conceptual, perceptual, or methodological? Psychology and Aging, 18(4), 807–22.Google Scholar

Morse, C. K. (1993). Does variability increase with age? An archival study of cognitive measures. Psychology and Aging, 8(2), 156–64.Google Scholar

Neef, N. E., Müller, B., Liebig, J., Schaadt, G., Grigutsch, M., Gunter, T. C. et al. (2017). Dyslexia risk gene relates to representation of sound in the auditory brainstem. Developmental Cognitive Neuroscience, 24, 63–71.Google Scholar

Nelson, D. L., Schreiber, T. A. & McEvoy, C. L. (1992). Processing implicit and explicit representations. Psychological Review, 99(2), 322–48.Google Scholar

Okada, K., Rong, F., Venezia, J., Matchin, W., Hsieh, I.-H., Saberi, K. et al. (2010). Hierarchical organization of human auditory cortex: Evidence from acoustic invariance in the response to intelligible speech. Cerebral Cortex, 20(10), 2486–95.Google Scholar

Otto-Meyer, S., Krizman, J., White-Schwoch, T. & Kraus, N. (2018). Children with autism spectrum disorder have unstable neural responses to sound. Experimental Brain Research, 32(11), 14111–56.Google Scholar

Park, D. C., Lautenschlager, G., Hedden, T., Davidson, N. S., Smith, A. D. & Smith, P. K. (2002). Models of visuospatial and verbal memory across the adult life span. Psychology and Aging, 17(2), 299–320.Google Scholar

Peelle, J. E., Johnsrude, I. S. & Davis, M. H. (2010). Hierarchical processing for speech in human auditory cortex and beyond. Frontiers in Human Neuroscience, 4, 51.Google Scholar

Peelle, J. E., Troiani, V., Wingfield, A. & Grossman, M. (2010). Neural processing during older adults’ comprehension of spoken sentences: Age differences in resource allocation and connectivity. Cerebral Cortex, 20(4), 773–82.Google Scholar

Perani, D. & Abutalebi, J. (2005). The neural basis of first and second language processing. Current Opinion in Neurobiology, 15(2), 202–6.Google Scholar

Poeppel, D. (2012). The maps problem and the mapping problem: Two challenges for a cognitive neuroscience of speech and language. Cognitive Neuropsychology, 29(1–2), 34–55.Google Scholar

Poeppel, D. (2014). The neuroanatomic and neurophysiological infrastructure for speech and language. Current Opinion in Neurobiology, 28, 142–9.Google Scholar

Price, C. J. (2000). The anatomy of language: Contributions from functional neuroimaging. Journal of Anatomy, 197(3), 335–59.Google Scholar

Pulvermuller, 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, 103(20), 7865–70.Google Scholar

Rauschecker, J. P. & Scott, S. K. (2009). Maps and streams in the auditory cortex: nonhuman primates illuminate human speech processing. Nature Neuroscience, 12(6), 718–24.Google Scholar

Röder, B., Stock, O., Neville, H., Bien, S. & Rösler, F. (2002). Brain activation modulated by the comprehension of normal and pseudo-word sentences of different processing demands: A functional magnetic resonance imaging study. NeuroImage, 15(4), 1003–14.Google Scholar

Saur, D., Kreher, B. W., Schnell, S., Kümmerer, D., Kellmeyer, P., Vry, M.-S. et al. (2008). Ventral and dorsal pathways for language. Proceedings of the National Academy of Sciences of the United States of America, 105(46), 18035–40.Google Scholar

Saur, D., Schelter, B., Schnell, S., Kratochvil, D., Küpper, H., Kellmeyer, P. et al. (2010). Combining functional and anatomical connectivity reveals brain networks for auditory language comprehension. NeuroImage, 49(4), 3187–97.Google Scholar

Schacter, D. L. (1992). Priming and multiple memory systems: Perceptual mechanisms of implicit memory. Journal of Cognitive Neuroscience, 4(3), 244–56.Google Scholar

Schneider, P., Scherg, M., Dosch, H. G., Specht, H. J., Gutschalk, A. & Rupp, A. (2002). Morphology of Heschl’s gyrus reflects enhanced activation in the auditory cortex of musicians. Nature Neuroscience, 5(7), 688–94.Google Scholar

Scott, S. K., Blank, C. C., Rosen, S. & Wise, R. J. (2000). Identification of a pathway for intelligible speech in the left temporal lobe. Brain, 123(12), 2400–6.Google Scholar

Skoe, E., Chandrasekaran, B., Spitzer, E. R., Wong, P. C. M. & Kraus, N. (2014). Human brainstem plasticity: The interaction of stimulus probability and auditory learning. Neurobiology of Learning and Memory, 109, 82–93.Google Scholar

Slevc, L. R. & Miyake, A. (2006). Individual differences in second-language proficiency. Psychological Science, 17(8), 675–81.Google Scholar

Smith, P. A. (2010). Ageing, auditory distraction, and grammaticality judgement. Aphasiology, 24(11), 1342–53.Google Scholar

Staeren, N., Renvall, H., De Martino, F., Goebel, R. & Formisano, E. (2009). Sound categories are represented as distributed patterns in the human auditory cortex. Current Biology, 19(6), 498–502.Google Scholar

Tremblay, P. & Dick, A. S. (2016). Broca and Wernicke are dead, or moving past the classic model of language neurobiology. Brain and Language, 162, 60–71.Google Scholar

Vaden, K. I., Piquado, T. & Hickok, G. (2011). Sublexical properties of spoken words modulate activity in Broca’s area but not superior temporal cortex: Implications for models of speech recognition. Journal of Cognitive Neuroscience, 23(10), 2665–74.Google Scholar

Veroude, K., Norris, D. G., Shumskaya, E., Gullberg, M. & Indefrey, P. (2010). Functional connectivity between brain regions involved in learning words of a new language. Brain and Language, 113(1), 21–7.Google Scholar

Vigneau, M., Beaucousin, V., Hervé, P. Y., Duffau, H., Crivello, F., Houdé, O. et al. (2006). Meta-analyzing left hemisphere language areas: Phonology, semantics, and sentence processing. NeuroImage, 30(4), 1414–32.Google Scholar

Vigneau, M., Beaucousin, V., Hervé, P.-Y., Jobard, G., Petit, L., Crivello, F. et al. (2011). What is right-hemisphere contribution to phonological, lexico-semantic, and sentence processing? Insights from a meta-analysis. NeuroImage, 54(1), 577–93.Google Scholar

Warrier, C., Wong, P. C. M., Penhune, V., Zatorre, R., Parrish, T., Abrams, D. et al. (2009). Relating structure to function: Heschl’s gyrus and acoustic processing. The Journal of Neuroscience, 29(1), 61–9.Google Scholar

Weber, M. J. & Thompson-Schill, S. L. (2010). Functional neuroimaging can support causal claims about brain function. Journal of Cognitive Neuroscience, 22(11), 2415–16.Google Scholar

Weiller, C., Musso, M., Rijntjes, M. & Saur, D. (2009). Please don’t underestimate the ventral pathway in language. Trends in Cognitive Sciences, 13(9), 361–9.Google Scholar

Whalley, L. J., Deary, I. J., Appleton, C. L. & Starr, J. M. (2004). Cognitive reserve and the neurobiology of cognitive aging. Ageing Research Reviews, 3(4), 369–82.Google Scholar

White-Schwoch, T., Woodruff Carr, K., Thompson, E. C., Anderson, S., Nicol, T., Bradlow, A. R. et al. (2015). Auditory processing in noise: A preschool biomarker for literacy. PLOS Biology, 13(7), e1002196.Google Scholar

Wingfield, A., Peelle, J. E. & Grossman, M. (2003). Speech rate and syntactic complexity as multiplicative factors in speech comprehension by young and older adults. Aging, Neuropsychology, and Cognition, 10(4), 310–22.Google Scholar

Wise, R., Chollet, F., Hadar, U., Friston, K., Hoffner, E. & Frackowiak, R. (1991). Distribution of cortical neural networks involved in word comprehension and word retrieval. Brain, 114(4), 1803–17.Google Scholar

Wong, F. C. K., Chandrasekaran, B., Garibaldi, K. & Wong, P. C. M. (2011). White matter anisotropy in the ventral language pathway predicts sound-to-word learning success. The Journal of Neuroscience, 31(24), 8780–5.Google Scholar

Wong, P. C. M., Perrachione, T. K. & Parrish, T. B. (2007). Neural characteristics of successful and less successful speech and word learning in adults. Human Brain Mapping, 28, 995–1006.Google Scholar

Wong, P. C. M., Skoe, E., Russo, N. M., Dees, T. & Kraus, N. (2007). Musical experience shapes human brainstem encoding of linguistic pitch patterns. Nature Neuroscience, 10(4), 420–2.Google Scholar

Wong, P. C. M., Warrier, C. M., Penhune, V. B., Roy, A. K., Sadehh, A., Parrish, T. B. et al. (2008). Volume of left Heschl’s Gyrus and linguistic pitch learning. Cerebral Cortex, 18(4), 828–36.Google Scholar

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(3), 693–703.Google Scholar

Yang, J. & Li, P. (2012). Brain networks of explicit and implicit learning. PLOS ONE, 7(8), e42993.Google Scholar

Yetkin, O., Yetkin, F. Z., Haughton, V. M. & Cox, R. W. (1996). Use of functional MR to map language in multilingual volunteers. American Journal of Neuroradiology, 17(3), 473–7.Google Scholar

Zhang, F., Wang, J.-P., Kim, J., Parrish, T. & Wong, P. C. M. (2015). Decoding multiple sound categories in the human temporal cortex using high-resolution fMRI. PloS One, 10(2), e0117303.Google Scholar