Musicians' edge: A comparison of auditory processing, cognitive abilities and statistical learning

Hearing Research

Volumn 342, Issue , 2016, Pages 112-123

  Mandikal Vasuki, Pragati Rao ^a,b   Sharma, Mridula ^a,b   Demuth, Katherine ^a,b   Arciuli, Joanne ^b,c  

^a MACQUARIE UNIVERSITY   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Attention; Auditory processing; Digit span; Musicians; Statistical learning

Indexed keywords

ADULT; ARTICLE; AUDITORY STIMULATION; COGNITION; COMPARATIVE STUDY; CONTROLLED STUDY; FEMALE; FREQUENCY DISCRIMINATION; HEARING; HUMAN; HUMAN EXPERIMENT; LEARNING; MALE; MUSICIAN; NORMAL HUMAN; PRIORITY JOURNAL; STATISTICAL LEARNING; TASK PERFORMANCE; VISION; MIDDLE AGED; MUSIC; PHOTOSTIMULATION; PHYSIOLOGY; PSYCHOLOGY; YOUNG ADULT;

ACOUSTIC STIMULATION; ADULT; AUDITORY PERCEPTION; COGNITION; FEMALE; HUMANS; LEARNING; MALE; MIDDLE AGED; MUSIC; PHOTIC STIMULATION; PITCH DISCRIMINATION; YOUNG ADULT;

EID: 84996587712     PISSN: 03785955     EISSN: 18785891     Source Type: Journal    
DOI: 10.1016/j.heares.2016.10.008     Document Type: Article

References (85)

1. Abla, D., Katahira, K., Okanoya, K., On-line assessment of statistical learning by event-related potentials. J. Cognitive Neurosci. 20:6 (2008), 952–964.
2. Abla, D., Okanoya, K., Visual statistical learning of shape sequences: an ERP study. Neurosci. Res. 64:2 (2009), 185–190, 10.1016/j.neures.2009.02.013.
3. Arciuli, J., Simpson, I.C., Statistical learning in typically developing children: the role of age and speed of stimulus presentation. Dev. Sci. 14:3 (2011), 464–473, 10.1111/j.1467-7687.2009.00937.x.
4. Arciuli, J., Simpson, I.C., Statistical learning is lasting and consistent over time. Neurosci. Lett. 517:2 (2012), 133–135, 10.1016/j.neulet.2012.04.045.
5. Arciuli, J., Simpson, I.C., Statistical learning is related to reading ability in children and adults. Cognitive Sci. 36:2 (2012), 286–304, 10.1111/j.1551-6709.2011.01200.x.
6. Arciuli, J., von Koss Torkildsen, J., Advancing our understanding of the link between statistical learning and language acquisition: the need for longitudinal data. Front. Psychol., 3, 2012, 324, 10.3389/fpsyg.2012.00324.
7. Baker, R.J., Jayewardene, D., Sayle, C., Saeed, S., Failure to find asymmetry in auditory gap detection. Laterality 13:1 (2008), 1–21.
8. Bialystok, E., DePape, A.-M., Musical expertise, bilingualism, and executive functioning. J. Exp. Psychol. Hum. Percept. Perform. 35:2 (2009), 565–574.
9. Bidelman, G.M., Gandour, J.T., Krishnan, A., Musicians and tone-language speakers share enhanced brainstem encoding but not perceptual benefits for musical pitch. Brain Cognition 77:1 (2011), 1–10.
10. Boebinger, D., Evans, S., Rosen, S., Lima, C.F., Manly, T., Scott, S.K., Musicians and non-musicians are equally adept at perceiving masked speech. J. Acoust. Soc. Am. 137:1 (2015), 378–387, 10.1121/1.4904537.
11. Brandler, S., Rammsayer, T.H., Differences in mental abilities between musicians and non-musicians. Psychol. Music 31:2 (2003), 123–138.
12. Brochard, R., Dufour, A., Després, O., Effect of musical expertise on visuospatial abilities: evidence from reaction times and mental imagery. Brain Cognition 54:2 (2004), 103–109, 10.1016/S0278-2626(03)00264-1.
13. Cameron, S., Dillon, H., Development of the listening in spatialized noise-sentences test (LISN-S). Ear Hear. 28:2 (2007), 196–211.
14. Chan, A.S., Ho, Y.-C., Cheung, M.-C., Music training improves verbal memory. Nature, 396(6707), 1998 128–128.
15. Clayton, K.K., Swaminathan, J., Yazdanbakhsh, A., Zuk, J., Patel, A.D., Kidd, G. Jr., Executive function, visual attention and the cocktail party problem in musicians and non-musicians. PloS one, 11(7), 2016, e0157638, 10.1371/journal.pone.0157638.
16. Conway, C.M., Bauernschmidt, A., Huang, S.S., Pisoni, D.B., Implicit statistical learning in language processing: word predictability is the key. Cognition Int. J. Cognitive Sci. 114:3 (2010), 356–371, 10.1016/j.cognition.2009.10.009.
17. Conway, C.M., Christiansen, M.H., Modality-constrained statistical learning of tactile, visual, and auditory sequences. J. Exp. Psychol. Learn. Mem. Cognition, 31(1), 2005, 24.
18. Conway, C.M., Christiansen, M.H., Seeing and hearing in space and time: effects of modality and presentation rate on implicit statistical learning. Eur. J. Cognitive Psychol. 21:4 (2009), 561–580.
19. Fine, P.A., Moore, B.C., Frequency analysis and musical ability. Music Percept. An Interdiscip. J. 11:1 (1993), 39–53.
20. François, C., Chobert, J., Besson, M., Schön, D., Music training for the development of speech segmentation. Cereb. Cortex 23:9 (2013), 2038–2043.
21. François, C., Jaillet, F., Takerkart, S., Schön, D., Faster sound stream segmentation in musicians than in nonmusicians. PloS one, 9(7), 2014, e101340.
22. François, C., Schön, D., Learning of musical and linguistic structures: comparing event-related potentials and behavior. Neuroreport 21:14 (2010), 928–932, 10.1097/WNR.0b013e32833ddd5e.
23. François, C., Schön, D., Musical expertise boosts implicit learning of both musical and linguistic structures. Cereb. Cortex 21:10 (2011), 2357–2365, 10.1093/cercor/bhr022.
24. François, C., Schön, D., Neural sensitivity to statistical regularities as a fundamental biological process that underlies auditory learning: the role of musical practice. Hear. Res. 308 (2014), 122–128.
25. Franklin, M.S., Moore, K.S., Yip, C.-Y., Jonides, J., Rattray, K., Moher, J., The effects of musical training on verbal memory. Psychol. Music 36:3 (2008), 353–365.
26. Frost, R., Armstrong, B.C., Siegelman, N., Christiansen, M.H., Domain generality versus modality specificity: the paradox of statistical learning. Trends Cognitive Sci. 19:3 (2015), 117–125.
27. Fuller, C.D., Galvin, J.J., Maat, B., Free, R.H., Başkent, D., The musician effect: does it persist under degraded pitch conditions of cochlear implant simulations?. Front. Neurosci., 8, 2014, 179, 10.3389/fnins.2014.00179.
28. Gaser, C., Schlaug, G., Brain structures differ between musicians and non-musicians. J. Neurosci. 23:27 (2003), 9240–9245.
29. Gromko, J.E., Poorman, A.S., Does perceptual-motor performance enhance perception of patterned art music?. Music. Sci. 2:2 (1998), 157–170.
30. Helmbold, N., Rammsayer, T., Altenmüller, E., Differences in primary mental abilities between musicians and nonmusicians. J. Individ. Differ. 26:2 (2005), 74–85.
31. Ho, Y.-C., Cheung, M.-C., Chan, A.S., Music training improves verbal but not visual memory: cross-sectional and longitudinal explorations in children. Neuropsychology 17:3 (2003), 439–450.
32. Iliadou, V.V., Bamiou, D.E., Chermak, G.D., Nimatoudis, I., Comparison of two tests of auditory temporal resolution in children with central auditory processing disorder, adults with psychosis, and adult professional musicians. Int. J. Audiol. 53:8 (2014), 507–513, 10.3109/14992027.2014.900576.
33. Ishii, C., Arashiro, P.M., Pereira, L.D., Ordering and temporal resolution in professional singers and in well tuned and out of tune amateur singers. Pró-Fono Rev. Atualização Científica 18:3 (2006), 285–292.
34. Jakobson, L.S., Lewycky, S.T., Kilgour, A.R., Stoesz, B.M., Memory for verbal and visual material in highly trained musicians. Music Percept. An Interdiscip. J. 26:1 (2008), 41–55.
35. Kaufman, S.B., DeYoung, C.G., Gray, J.R., Jiménez, L., Brown, J., Mackintosh, N., Implicit learning as an ability. Cognition Int. J. Cognitive Sci. 116:3 (2010), 321–340, 10.1016/j.cognition.2010.05.011.
36. Kishon-Rabin, L., Amir, O., Vexler, Y., Zaltz, Y., Pitch discrimination: are professional musicians better than non-musicians?. J. Basic Clin. Physiol. Pharmacol. 12:2 (2001), 125–144.
37. Lee, K.M., Skoe, E., Kraus, N., Ashley, R., Selective subcortical enhancement of musical intervals in musicians. J. Neurosci. 29:18 (2009), 5832–5840.
38. Lee, Y.-s., Lu, M.-j, Ko, H.-p., Effects of skill training on working memory capacity. Learn. Instr. 17:3 (2007), 336–344.
39. Levitt, H., Transformed up-down methods in psychoacoustics. J. Acoust. Soc. Am. 49:2B (1971), 467–477.
40. Li, S.-C., Lewandowsky, S., Forward and backward recall: different retrieval processes. J. Exp. Psychol. Learn. Mem. Cognition, 21(4), 1995, 837.
41. Loui, P., Statistical learning – What can music tell us?us. Rebuschat, P., Williams, J., (eds.) Statistical Learning and Language Acquisition, 2012, Mouton de Gruyter, Berlin, Germany, 433–462.
42. Loui, P., Wessel, D.L., Kam, C.L.H., Humans rapidly learn grammatical structure in a new musical scale. Music Percept. An Interdiscip. J. 27:5 (2010), 377–388.
43. Micheyl, C., Delhommeau, K., Perrot, X., Oxenham, A.J., Influence of musical and psychoacoustical training on pitch discrimination. Hear. Res. 219:1 (2006), 36–47.
44. Monteiro, R.A.M., Nascimento, F.M., Soares, C.D., Ferreira, M.I.D.d.C., Temporal resolution abilities in musicians and no musicians violinists. Arq. Int. Otorrinolaringol. 14:3 (2010), 302–308.
45. Moore, B.C.J., An Introduction to the Psychology of Hearing. 2012, Brill, Netherlands.
46. Münte, T.F., Altenmüller, E., Jäncke, L., The musician's brain as a model of neuroplasticity. Nat. Rev. Neurosci. 3:6 (2002), 473–478.
47. Nelson, D.M., Wilson, R.H., Kornhass, S., Performance of musicians and nonmusicians on dichotic chords, dichotic CVs, and dichotic digits. J. Am. Acad. Audiol. 14:10 (2003), 536–544.
48. Neuhoff, J.G., Knight, R., Wayand, J., Pitch change, sonification, and musical expertise: Which way is up?. Paper Presented at the International Conference on Auditory Display, 2002.
49. Oldfield, R.C., The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia 9:1 (1971), 97–113.
50. Pallesen, K.J., Brattico, E., Bailey, C.J., Korvenoja, A., Koivisto, J., Gjedde, A., Carlson, S., Cognitive control in auditory working memory is enhanced in musicians. PloS one, 5(6), 2010, e11120.
51. Paraskevopoulos, E., Kuchenbuch, A., Herholz, S.C., Pantev, C., Statistical learning effects in musicians and non-musicians: an MEG study. Neuropsychologia 50:2 (2012), 341–349, 10.1016/j.neuropsychologia.2011.12.007.
52. Parbery-Clark, A., Skoe, E., Lam, C., Kraus, N., Musician enhancement for speech-in-noise. Ear Hear. 30:6 (2009), 653–661.
53. Parbery-Clark, A., Strait, D.L., Kraus, N., Context-dependent encoding in the auditory brainstem subserves enhanced speech-in-noise perception in musicians. Neuropsychologia 49:12 (2011), 3338–3345.
54. Parbery-Clark, A., Tierney, A., Strait, D.L., Kraus, N., Musicians have fine-tuned neural distinction of speech syllables. Neuroscience 219 (2012), 111–119.
55. Patel, A.D., Music, Language, and the Brain. 2010, Oxford university press.
56. Patel, A.D., Why would musical training benefit the neural encoding of speech? The OPERA hypothesis. Front. Psychol., 2, 2011, 142, 10.3389/fpsyg.2011.00142.
57. Peter, V., Wong, K., Narne, V.K., Sharma, M., Purdy, S.C., McMahon, C., Assessing spectral and temporal processing in children and adults using temporal modulation transfer function (TMTF), iterated ripple noise (IRN) perception, and spectral ripple discrimination (SRD). J. Am. Acad. Audiol. 25:2 (2014), 1–9.
58. Rammsayer, T., Altenmüller, E., Temporal information processing in musicians and nonmusicians. Music Percept. An Interdiscip. J. 24:1 (2006), 37–48.
59. Rodrigues, A.C., Guerra, L.B., Loureiro, M.A., Visual attention in musicians and non-musicians: a comparative study. Paper Presented at the Proceedings of the 3rd International Conference on Interdisciplinary Musicology, 2007.
60. Rohrmeier, M., Rebuschat, P., Implicit learning and acquisition of music. Top. Cognitive Sci. 4:4 (2012), 525–553.
61. Rosen, V.M., Engle, R.W., Forward and backward serial recall. Intelligence 25:1 (1997), 37–47.
62. Ruggles, D.R., Freyman, R.L., Oxenham, A.J., Influence of musical training on understanding voiced and whispered speech in noise. PloS one, 9(1), 2014, e86980.
63. Saffran, J.R., Aslin, R.N., Newport, E.L., Statistical learning by 8-Month-old infants. Science 274:5294 (1996), 1926–1928.
64. Saffran, J.R., Johnson, E.K., Aslin, R.N., Newport, E.L., Statistical learning of tone sequences by human infants and adults. Cognition Int. J. Cognitive Sci. 70:1 (1999), 27–52.
65. Schlaug, G., Norton, A., Overy, K., Winner, E., Effects of music training on the child's brain and cognitive development. Ann. N. Y. Acad. Sci. 1060:1 (2005), 219–230.
66. Schön, D., François, C., Musical expertise and statistical learning of musical and linguistic structures. Front. Psychol., 2, 2011, 167, 10.3389/fpsyg.2011.00167.
67. Semel, E.M., Wiig, E.H., Secord, W., CELF 4: Clinical Evaluation of Language Fundamentals. 2006, Pearson: Psychological Corporation.
68. Shook, A., Marian, V., Bartolotti, J., Schroeder, S.R., Musical experience influences statistical learning of a novel language. Am. J. Psychol., 126(1), 2013, 95.
69. Siegelman, N., Frost, R., Statistical learning as an individual ability: theoretical perspectives and empirical evidence. J. Mem. Lang. 81 (2015), 105–120.
70. Skoe, E., Krizman, J., Spitzer, E., Kraus, N., The auditory brainstem is a barometer of rapid auditory learning. Neuroscience 243 (2013), 104–114, 10.1016/j.neuroscience.2013.03.009.
71. Špajdel, M., Jariabková, K., Riečanský, I., The influence of musical experience on lateralisation of auditory processing. Laterality 12:6 (2007), 487–499.
72. Spiegel, M.F., Watson, C.S., Performance on frequency-discrimination tasks by musicians and nonmusicians. J. Acoust. Soc. Am. 76:6 (1984), 1690–1695.
73. St Clair-Thompson, H.L., Allen, R.J., Are forward and backward recall the same? A dual-task study of digit recall. Mem. Cognition 41:4 (2013), 519–532.
74. Stevens, D.J., Arciuli, J., Anderson, D.I., Concurrent movement impairs incidental but not intentional statistical learning. Cognitive Sci. 39:5 (2015), 1081–1098.
75. Strait, D.L., Kraus, N., Playing music for a smarter ear: cognitive, perceptual and neurobiological evidence. Music Percept. An Interdiscip. J., 29(2), 2011, 133.
76. Strait, D.L., Kraus, N., Parbery-Clark, A., Ashley, R., Musical experience shapes top-down auditory mechanisms: evidence from masking and auditory attention performance. Hear. Res. 261:1 (2010), 22–29.
77. Strouse, A., Wilson, R.H., Recognition of one-, two-, and three-pair dichotic digits under free and directed recall. J. Am. Acad. Audiol. 10:10 (1999), 557–571.
78. Tervaniemi, M., Just, V., Koelsch, S., Widmann, A., Schröger, E., Pitch discrimination accuracy in musicians vs nonmusicians: an event-related potential and behavioral study. Exp. Brain Res. 161:1 (2005), 1–10.
79. Tillmann, B., Bharucha, J.J., Bigand, E., Implicit learning of tonality: a self-organizing approach. Psychol. Rev. 107:4 (2000), 885–913.
80. Turk-Browne, N.B., Junge, J., Scholl, B.J., The automaticity of visual statistical learning. J. Exp. Psychol. General 134:4 (2005), 552–564, 10.1037/0096-3445.134.4.552.
81. Turner, A., Sandford, J., A normative study of IVA: Integrated visual and auditory continuous performance test. Paper Presented at the Annual Convention of the American Psychological Association, 1995.
82. Van der Elst, W., Van Boxtel, M.P., Van Breukelen, G.J., Jolles, J., The Stroop color-word test: influence of age, sex, and education; and normative data for a large sample across the adult age range. Assessment 13:1 (2006), 62–79, 10.1177/1073191105283427.
83. Yost, W.A., Pitch strength of iterated rippled noise. J. Acoust. Soc. Am. 100:5 (1996), 3329–3335.
84. Zendel, B.R., Alain, C., Musicians experience less age-related decline in central auditory processing. Psychol. Aging, 27(2), 2012, 410, 10.1037/a0024816.
85. Zuk, J., Benjamin, C., Kenyon, A., Gaab, N., Behavioral and neural correlates of executive functioning in musicians and non-musicians. PloS one, 9(6), 2014, e99868, 10.1371/journal.pone.0099868.