Auditory evoked responses in musicians during passive vowel listening are modulated by functional connectivity between bilateral auditory-related brain regions

Journal of Cognitive Neuroscience

Volumn 26, Issue 12, 2014, Pages 2750-2761

  Kühnis, Jürg ^a   Elmer, Stefan ^a   Jäncke, Lutz ^a,b  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b KING ABDULAZIZ UNIVERSITY   (Saudi Arabia)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; ALPHA RHYTHM; AMPLITUDE MODULATION; ARTICLE; AUDITORY CORTEX; AUDITORY STIMULATION; AUDITORY THRESHOLD; BETA RHYTHM; BRAIN ELECTROPHYSIOLOGY; BRAIN REGION; CONNECTOME; CONTROLLED STUDY; CORTICAL SYNCHRONIZATION; ELECTROENCEPHALOGRAPHY; EVOKED AUDITORY RESPONSE; FEMALE; FUNCTIONAL CONNECTIVITY; HEARING; HUMAN; HUMAN EXPERIMENT; MALE; MUSICIAN; NORMAL HUMAN; PASSIVE VOWEL LISTENING; PRIORITY JOURNAL; SENSORY SYSTEM; VOWEL; ADOLESCENT; ANALYSIS OF VARIANCE; AUDITORY NERVOUS SYSTEM; BRAIN; BRAIN MAPPING; COGNITION; HEMISPHERIC DOMINANCE; MUSIC; PHYSIOLOGY; PROFESSIONAL COMPETENCE; YOUNG ADULT;

ACOUSTIC STIMULATION; ADOLESCENT; ADULT; ANALYSIS OF VARIANCE; AUDITORY PATHWAYS; BRAIN; BRAIN MAPPING; COGNITION; ELECTROENCEPHALOGRAPHY; EVOKED POTENTIALS, AUDITORY; FEMALE; FUNCTIONAL LATERALITY; HUMANS; MALE; MUSIC; PITCH PERCEPTION; PROFESSIONAL COMPETENCE; YOUNG ADULT;

EID: 84931026567     PISSN: 0898929X     EISSN: 15308898     Source Type: Journal    
DOI: 10.1162/jocn_a_00674     Document Type: Article

References (77)

1. Bastiaansen, M. C. M., van Berkum, J. J. A., & Hagoort, P. (2002). Event-related theta power increases in the human EEG during online sentence processing. Neuroscience Letters, 323, 13–16.
2. Baumann, S., Meyer, M., & Jäncke, L. (2008). Enhancement of auditory-evoked potentials in musicians reflects an influence of expertise but not selective attention. Journal of Cognitive Neuroscience, 20, 2238–2249.
3. Bermudez, P., Lerch, J. P., Evans, A. C., & Zatorre, R. J. (2009). Neuroanatomical correlates of musicianship as revealed by cortical thickness and voxel-based morphometry. Cerebral Cortex, 19, 1583–1596.
4. Besson, M., Chobert, J., & Marie, C. (2011). Transfer of training between music and speech: Common processing, attention, and memory. Frontiers in Auditory Cognitive Neuroscience, 2, 94.
5. Bibbig, A., Faulkner, H. J., Whittington, M. A., & Traub, R. D. (2001). Self-organized synaptic plasticity contributes to the shaping of gamma and beta oscillations in vitro. Journal of Neuroscience, 21, 9053–9067.
6. Bonte, M., Valente, G., & Formisano, E. (2009). Dynamic and task-dependent encoding of speech and voice by phase reorganization of cortical oscillations. Journal of Neuroscience, 29, 1699–1706.
7. Bosnyak, D. J., Eaton, R. A., & Roberts, L. E. (2004). Distributed auditory cortical representations are modified when nonmusicians are trained at pitch discrimination with 40 Hz amplitude modulated tones. Cerebral Cortex, 14, 1088–1099.
8. Brechmann, A., & Scheich, H. (2005). Hemispheric shifts of sound representation in auditory cortex with conceptual listening. Cerebral Cortex, 15, 578–587.
9. Canuet, L., Ishii, R., Pascual-Marqui, R. D., Iwase, M., Kurimoto, R., Aoki, Y., et al. (2011). Resting-state EEG source localization and functional connectivity in schizophrenia-like psychosis of epilepsy. PLoS One, 6, 1–10.
10. Chobert, J., Francois, C., Velay, J. L., & Besson, M. (2012). Twelve months of active musical training in 8- to 10-year-old children enhances the preattentive processing of syllabic duration and voice onset time. Cerebral Cortex, 24, 956–967.
11. Ellis, R. J., Norton, A. C., Overy, K., Winner, E., Alsop, D. C., & Schlaug, G. (2012). Differentiating maturational and training influences on fMRI activation during music processing. Neuroimage, 60, 1902–1912.
12. Elmer, S., Hänggi, J., & Jäncke, L. (in preparation). Interhemispheric transcallosal connectivity between the left and right planum temporale predicts musicianship, performance in temporal speech processing, and functional specialization.
13. Elmer, S., Hänggi, J., Meyer, M., & Jäncke, L. (2013). Increased cortical surface area of the left planum temporale in musicians facilitates the categorization of phonetic and temporal speech sounds. Cortex, 49, 2812–2821.
14. Elmer, S., Klein, C., Kühnis, J., Liem, F., Meyer M., & Jäncke, L. (2014). Music and language expertise influence the categorization of speech and musical sounds: Behavioral and electrophysiological measurements. Journal of Cognitive Neuroscience, 26, 2356–2369.
15. Elmer, S., Meyer, M., & Jäncke, L. (2012). Neurofunctional and behavioral correlates of phonetic and temporal categorization in musically trained and untrained subjects. Cerebral Cortex, 22, 650–658.
16. Engel, A. K., Fries, P., & Singer, W. (2001). Dynamic predictions: Oscillations and synchrony in top–down processing. Nature Reviews Neuroscience, 2, 704–716.
17. Fuchs, M., Kastner, J., Wagner, M., Hawes, S., & Ebersole, J. S. (2002). A standardized boundary element method volume conductor model. Clinical Neurophysiology, 113, 702–712.
18. Galaburda, A. M., Rosen, G. D., & Sherman, G. F. (1990). Individual variability in cortical organization—Its relationship to brain laterality and implications to function. Neuropsychologia, 28, 529–546.
19. Giraud, A. L., Kleinschmidt, A., Poeppel, D., Lund, T. E., Frackowiak, R. S. J., & Laufs, H. (2007). Endogenous cortical rhythms determine cerebral specialization for speech perception and production. Neuron, 56, 1127–1134.
20. Giraud, A. L., & Poeppel, D. (2012). Cortical oscillations and speech processing: Emerging computational principles and operations. Nature Neuroscience, 15, 511–517.
21. Gordon, E. E. (1989). Manual for the advanced measures of music education. Chicago: G.I.A. Publications, Inc.
22. Haenschel, C., Baldeweg, T., Croft, R. J., Whittington, M., & Gruzelier, J. (2000). Gamma and beta frequency oscillations in response to novel auditory stimuli: A comparison of human electroencephalogram (EEG) data with in vitro models. Proceedings of the National Academy of Sciences, U.S.A., 97, 7645–7650.
23. Herholz, S. C., & Zatorre, R. J. (2012). Musical training as a framework for brain plasticity: Behavior, function, and structure. Neuron, 76, 486–502.
24. Hickok, G., & Poeppel, D. (2007). The cortical organization of speech processing. Nature Reviews Neuroscience, 8, 393–402.
25. Hsiao, F. J., Wu, Z. A., Ho, L. T., & Lin, Y. Y. (2009). Theta oscillation during auditory change detection: An MEG study. Biological Psychology, 81, 58–66.
26. Hyde, K. L., Lerch, J., Norton, A., Forgeard, M., Winner, E., Evans, A. C., et al. (2009). The effects of musical training on structural brain development a longitudinal study. Neurosciences and Music III: Disorders and Plasticity, 1169, 182–186.
27. Jung, T. P., Makeig, S., Westerfield, M., Townsend, J., Courchesne, E., & Sejnowski, T. J. (2000). Removal of eye activity artifacts from visual event-related potentials in normal and clinical subjects. Clinical Neurophysiology, 111, 1745–1758.
28. Keil, J., Müller, N., Hartmann, T., & Weisz, N. (2013). Prestimulus beta power and phase synchrony influence the sound-induced flash illusion. Cerebral Cortex, 24, 1278–1288.
29. Klimesch, W., Doppelmayr, M., Wimmer, H., Schwaiger, J., Rohm, D., Gruber, W., et al. (2001). Theta band power changes in normal and dyslexic children. Clinical Neurophysiology, 112, 1174–1185.
30. Klimesch, W., Sauseng, P., & Hanslmayr, S. (2007). EEG alpha oscillations: The inhibition-timing hypothesis. Brain Research Reviews, 53, 63–88.
31. Ko, D., Kwon, S., Lee, G. T., Im, C. H., Kim, K. H., & Jung, K. Y. (2012). Theta oscillation related to the auditory discrimination process in mismatch negativity: Oddball versus control paradigm. Journal of Clinical Neurology, 8, 35–42.
32. Kühnis, J., Elmer, S., Meyer, M., & Jäncke, L. (2013a). Musicianship boosts perceptual learning of pseudowordchimeras: An electrophysiological approach. Brain Topography, 26, 110–125.
33. Kühnis, J., Elmer, S., Meyer, M., & Jäncke, L. (2013b). The encoding of vowels and temporal speech cues in the auditory cortex of professional musicians: An EEG study. Neuropsychologia, 51, 1608–1618.
34. Kuriki, S., Kanda, S., & Hirata, Y. (2006). Effects of musical experience on different components of MEG responses elicited by sequential piano-tones and chords. Journal of Neuroscience, 26, 4046–4053.
35. Lange, J., Christian, N., & Schnitzler, A. (2013). Audio-visual congruency alters power and coherence of oscillatory activity within and between cortical areas. Neuroimage, 79, 111–120.
36. Lehmann, D., Faber, P. L., Gianotti, L. R. R., Kochi, K., & Pascual-Marqui, R. D. (2006). Coherence and phase locking in the scalp EEG and between LORETA model sources, and microstates as putative mechanisms of brain temporo-spatial functional organization. Journal of Physiology-Paris, 99, 29–36.
37. Lehrl, S. (1977). Mehrfachwahl-Wortschatz-Intelligenz-Test (MWT-B). Testzentrale, Göttingen (1992).
38. Lehrl, S., & Fischer, B. (1992). Kurztest für allgemeine Basisgrössen der Informationsverarbeitung (KAI) (3. Aufl). Ebersberg: Vless.
39. Luo, H., & Poeppel, D. (2007). Phase patterns of neuronal responses reliably discriminate speech in human auditory cortex. Neuron, 54, 1001–1010.
40. Lutkenhoner, B., Seither-Preisler, A., & Seither, S. (2006). Piano tones evoke stronger magnetic fields than pure tones or noise, both in musicians and nonmusicians. Neuroimage, 30, 927–937.
41. Marie, C., Delogu, F., Lampis, G., Belardinelli, M. O., & Besson, M. (2011). Influence of musical expertise on segmental and tonal processing in Mandarin Chinese. Journal of Cognitive Neuroscience, 23, 2701–2715.
42. Marie, C., Kujala, T., & Besson, M. (2012). Musical and linguistic expertise influence pre-attentive and attentive processing of non-speech sounds. Cortex, 48, 447–457.
43. Marie, C., Magne, C., & Besson, M. (2011). Musicians and the metric structure of words. Journal of Cognitive Neuroscience, 23, 294–305.
44. Mazziotta, J., Toga, A., Evans, A., Fox, P., Lancaster, J., Zilles, K., et al. (2001). A probabilistic atlas and reference system for the human brain: International Consortium for Brain Mapping (ICBM). Philosophical Transactions of the Royal Society, Series B, Biological Sciences, 356, 1293–1322.
45. Meyer, M., Baumann, S., & Jäncke, L. (2006). Electrical brain imaging reveals spatio-temporal dynamics of timbre perception in humans. Neuroimage, 32, 1510–1523.
46. Moreno, S., Bialystok, E., Barac, R., Schellenberg, E. G., Cepeda, N. J., & Chau, T. (2011). Short-term music training enhances verbal intelligence and executive function. Psychological Science, 22, 1425–1433.
47. Moreno, S., & Bidelman, G. M. (2013). Examining neural plasticity and cognitive benefit through the unique lens of musical training. Hearing Research, 308, 84–97.
48. Moreno, S., Marques, C., Santos, A., Santos, M., Castro, S. L., & Besson, M. (2009). Musical training influences linguistic abilities in 8-year-old children: More evidence for brain plasticity. Cerebral Cortex, 19, 712–723.
49. Musacchia, G., Sams, M., Skoe, E., & Kraus, N. (2007). Musicians have enhanced subcortical auditory and audiovisual processing of speech and music. Proceedings of the National Academy of Sciences, U.S.A., 104, 15894–15898.
50. Näätänen, R., Pakarinen, S., Rinne, T., & Takegata, R. (2004). The mismatch negativity (MMN): Towards the optimal paradigm. Clinical Neurophysiology, 115, 140–144.
51. Näätänen, R., & Picton, T. (1987). The N1 wave of the human electric and magnetic response to sound—A review and an analysis of the component structure. Psychophysiology, 24, 375–425.
52. Ott, C. G., Langer, N., Oechslin, M. S., & Jäncke, L. (2011). Processing of voiced and unvoiced acoustic stimuli in musicians. Frontiers in Psychology, 2, 195.
53. Pantev, C. (1995). Evoked and induced gamma-band activity of the human cortex. Brain Topography, 7, 321–330.
54. Pantev, C., Oostenveld, R., Engelien, A., Ross, B., Roberts, L. E., & Hoke, M. (1998). Increased auditory cortical representation in musicians. Nature, 392, 811–814.
55. Pantev, C., Roberts, L. E., Schulz, M., Engelien, A., & Ross, B. (2001). Timbre-specific enhancement of auditory cortical representations in musicians. NeuroReport, 12, 169–174.
56. Pascual-Marqui, R. D. (2007). Discrete, 3D distributed, linear imaging methods of electric neuronal activity. Part 1: Exact, zero error localization [online]. Retrieved from arxiv.org/abs/0710.3341
57. Pascual-Marqui, R. D. (2009). Theory of the EEG inverse problem. In S. Tong & N. V. Thakor (Eds.), QuantitativeEEG analysis: Methods and clinical applications (pp. 121–140). Boston: Artech House.
58. Pascual-Marqui, R. D., Lehmann, D., Koukkou, M., Kochi, K., Anderer, P., Saletu, B., et al. (2011). Assessing interactions in the brain with exact low-resolution electromagnetic tomography. Philosophical Transactions of the Royal Society, Series A, Mathematical Physical and Engineering Sciences, 369, 3768–3784.
59. Reinke, K. S., He, Y., Wang, C. H., & Alain, C. (2003). Perceptual learning modulates sensory evoked response during vowel segregation. Cognitive Brain Research, 17, 781–791.
60. Rosen, G. D., Sherman, G. F., & Galaburda, A. M. (1989). Interhemispheric connections differ between symmetrical and asymmetrical brain-regions. Neuroscience, 33, 525–533.
61. Sarnthein, J., Petsche, H., Rappelsberger, P., Shaw, G. L., & von Stein, A. (1998). Synchronization between prefrontal and posterior association cortex during human working memory. Proceedings of the National Academy of Sciences, U.S.A., 95, 7092–7096.
62. Sauseng, P., & Klimesch, W. (2008). What does phase information of oscillatory brain activity tell us about cognitive processes? Neuroscience and Biobehavioral Reviews, 32, 1001–1013.
63. Scheeringa, R., Fries, P., Petersson, K. M., Oostenveld, R., Grothe, I., Norris, D. G., et al. (2011). Neuronal dynamics underlying high- and low-frequency EEG oscillations contribute independently to the human BOLD signal. Neuron, 69, 572–583.
64. Schlaug, G., Jäncke, L., Huang, Y. X., Staiger, J. F., & Steinmetz, H. (1995). Increased corpus-callosum size in musicians. Neuropsychologia, 33, 1047–1055.
65. Schlaug, G., Jäncke, L., Huang, Y. X., & Steinmetz, H. (1995). In-vivo evidence of structural brain asymmetry in musicians. Science, 267, 699–701.
66. Schneider, P., Scherg, M., Dosch, H. G., Specht, H. J., Gutschalk, A., & Rupp, A. (2002). Morphology of Heschlʼs gyrus reflects enhanced activation in the auditory cortex of musicians. Nature Neuroscience, 5, 688–694.
67. Schneider, P., Sluming, V., Roberts, N., Scherg, M., Goebel, R., Specht, H. J., et al. (2005). Structural and functional asymmetry of lateral Heschlʼs gyrus reflects pitch perception preference. Nature Neuroscience, 8, 1241–1247.
68. Seppanen, M., Hamalainen, J., Pesonen, A. K., & Tervaniemi, M. (2012). Music training enhances rapid neural plasticity of N1 and P2 source activation for unattended sounds. Frontiers in Human Neuroscience, 6, 1–13.
69. Serrien, D. J., Pogosyan, A. H., & Brown, P. (2004). Corticocortical coupling patterns during dual task performance. Experimental Brain Research, 157, 79–84.
70. Shahin, A., Bosnyak, D. J., Trainor, L. J., & Roberts, L. E. (2003). Enhancement of neuroplastic P2 and N1c auditory evoked potentials in musicians. Journal of Neuroscience, 23, 5545–5552.
71. Sinai, A., & Pratt, H. (2003). High-resolution time course of hemispheric dominance revealed by low-resolution electromagnetic tomography. Clinical Neurophysiology, 114, 1181–1188.
72. Strait, D. L., & Kraus, N. (2013). Biological impact of auditory expertise across the life span: Musicians as a model of auditory learning. Hearing Research, 308, 109–121.
73. Vanneste, S., Song, J. J., & De Ridder, D. (2013). Tinnitus and musical hallucinosis: The same but more. Neuroimage, 82, 373–383.
74. Varela, F., Lachaux, J. P., Rodriguez, E., & Martinerie, J. (2001). The brainweb: Phase synchronization and large-scale integration. Nature Reviews Neuroscience, 2, 229–239.
75. Vaughan, H. G., & Ritter, W. (1970). Sources of auditory evoked responses recorded from human scalp. Electroencephalography and Clinical Neurophysiology, 28, 360–367.
76. Womelsdorf, T., & Fries, P. (2007). The role of neuronal synchronization in selective attention. Current Opinion in Neurobiology, 17, 154–160.
77. Wu, J. J., Zhang, J. S., Liu, C., Liu, D. W., Ding, X. J., & Zhou, C. L. (2012).Graph theoretical analysis of EEGfunctional connectivityduring music perception. Brain Research, 1483, 71–81.