The effect of music training on pre-attentive processing of the brain

doi:10.3724/SP.J.1042.2019.01036

Abstract

Abstract:

Pre-attentive processing is a cognitive process that takes place before attention and is independent of consciousness. It reflects the unconscious, automatic aspects of brain processing. Mismatch negativity (MMN) is the most commonly used indicator of pre-attentive processing. MMN amplitude reduction has emerged as one of the important clinical indices for psychiatric diseases such as schizophrenia and depression. The main research paradigms of MMN include oddball paradigm and multi-feature paradigm. Music training has dramatic effects on the structure and function of human brains, such as increasing grey matter volume and improving attention and memory functions. Music training also has a significant impact on MMN, which is reflected in the paradigms constructed by different acoustic features. Future research should compare the impacts of oriental music and western music on MMN, explore a more ecologically valid research paradigm, and reveal the impact and mechanism of music training on MMN in the elderly.

Key words: music training, pre-attentive processing, MMN

CLC Number:

B842: B845

CHEN Yahong, WANG Jinyan. The effect of music training on pre-attentive processing of the brain[J]. Advances in Psychological Science, 2019, 27(6): 1036-1043.

Figures/Tables 2

References 46

1	Bhattacharya J., Petsche H., Feldmann U., & Rescher B . ( 2001). EEG gamma-band phase synchronization between posterior and frontal cortex during mental rotation in humans. Neuroscience Letters, 311( 1), 29-32. doi: 10.1016/S0304-3940(01)02133-4 URL
2	Brattico E., Pallesen K. J., Varyagina O., Bailey C., Anourova I., Järvenpää M., .. Tervaniemi M . ( 2009). Neural discrimination of nonprototypical chords in music experts and laymen: A MEG Study. Journal of Cognitive Neuroscience, 21( 11), 2230-2244. doi: 10.1162/jocn.2008.21144 URL
3	Chen C. Y., Sung J. Y., & Cheng Y. W . ( 2016). Neural dynamics of emotional salience processing in response to voices during the stages of sleep. Frontiers in Behavioral Neuroscience, 10, 117.
4	Cooray G., Garrido M. I., Hyllienmark L., & Brismar T . ( 2014). A mechanistic model of mismatch negativity in the ageing brain. Clinical Neurophysiology, 125( 9), 1774-1782. doi: 10.1016/j.clinph.2014.01.015 URL
5	Di Mauro M., Toffalini E., Grassi M., & Petrini K . ( 2018). Effect of long-term music training on emotion perception from drumming improvisation. Frontiers in Psychology, 9, 16. doi: 10.3389/fpsyg.2018.00016 URL
6	Fujioka T., Trainor L. J., Ross B., Kakigi R., & Pantev C . ( 2004). Musical training enhances automatic encoding of melodic contour and interval structure. Journal of Cognitive Neuroscience, 16( 6), 1010-1021. doi: 10.1162/0898929041502706 URL
7	Gaser, C., & Schlaug, G . ( 2003). Brain structures differ between musicians and non-musicians. Journal of Neuroscience, 23( 27), 9240-9245. doi: 10.1523/JNEUROSCI.23-27-09240.2003 URL
8	Geiser E., Sandmann P., Jäncke L., & Meyer M . ( 2010). Refinement of metre perception-training increases hierarchical metre processing. European Journal of Neuroscience, 32( 11), 1979-1985. doi: 10.1111/ejn.2010.32.issue-11 URL
9	Grady C. L., Yu H., & Alain C . ( 2008). Age-related differences in brain activity underlying working memory for spatial and nonspatial auditory information. Cerebral Cortex, 18( 1), 189-199. doi: 10.1093/cercor/bhm045 URL
10	Hyde K. L., Lerch J., Norton A., Forgeard M., Winner E., Evans A. C., & Schlaug G . ( 2009). Musical training shapes structural brain development. Journal of Neuroscience, 29( 10), 3019-3025. doi: 10.1523/JNEUROSCI.5118-08.2009 URL
11	Juan E., Nguissi N. A. N., Tzovara A., Viceic D., Rusca M., Oddo M., .. De Lucia M . ( 2016). Evidence of trace conditioning in comatose patients revealed by the reactivation of EEG responses to alerting sounds. Neuroimage, 141, 530-541. doi: 10.1016/j.neuroimage.2016.07.039 URL
12	Koelsch S., Schröger E., & Tervaniemi M . ( 1999). Superior pre-attentive auditory processing in musicians. Neuroreport, 10( 6), 1309-1313. doi: 10.1097/00001756-199904260-00029 URL
13	Kraus N., Slater J., Thompson E. C., Hornickel J., Strait D. L., Nicol T., & White-Schwoch T . ( 2014). Music enrichment programs improve the neural encoding of speech in at-risk children. Journal of Neuroscience, 34( 36), 11913-11918. doi: 10.1523/JNEUROSCI.1881-14.2014 URL
14	Lappe C., Herholz S. C., Trainor L. J., & Pantev C . ( 2008). Cortical plasticity induced by short-term unimodal and multimodal musical training. Journal of Neuroscience, 28( 39), 9632-9639. doi: 10.1523/JNEUROSCI.2254-08.2008 URL
15	Logan, G. D . ( 1992). Attention and preattention in theories of automaticity. The American Journal of Psychology, 105( 2), 317-339. doi: 10.2307/1423031 URL
16	Luo C., Guo Z. W., Lai Y. X., Liao W., Liu Q., Kendrick K. M., .. Li H . ( 2012). Musical training induces functional plasticity in perceptual and motor networks: Insights from resting-state fMRI. PloS One, 7( 5), e36568. doi: 10.1371/journal.pone.0036568 URL
17	May P., Tiitinen H., Ilmoniemi R. J., Nyman G., Taylor J. G., & Näätänen R . ( 1999). Frequency change detection in human auditory cortex. Journal of Computational Neuroscience, 6( 2), 99-120. doi: 10.1023/A:1008896417606 URL
18	Meyer M., Elmer S., Ringli M., Oechslin M. S., Baumann S., & Jancke L . ( 2011). Long-term exposure to music enhances the sensitivity of the auditory system in children. European Journal of Neuroscience, 34( 5), 755-765. doi: 10.1111/j.1460-9568.2011.07795.x URL
19	Näätänen R., Gaillard A. W. K., & Mäntysalo S . ( 1978). Early selective-attention effect on evoked potential reinterpreted. Acta Psychologica, 42( 4), 313-329. doi: 10.1016/0001-6918(78)90006-9 URL
20	Näätänen R., Kujala T., Escera C., Baldeweg T., Kreegipuu K., Carlson S., & Ponton C . ( 2012). The mismatch negativity (MMN) - A unique window to disturbed central auditory processing in ageing and different clinical conditions. Clinical Neurophysiology, 123( 3), 424-458. doi: 10.1016/j.clinph.2011.09.020 URL
21	Näätänen R., Pakarinen S., Rinne T., & Takegata R . ( 2004). The mismatch negativity (MMN): Towards the optimal paradigm. Clinical Neurophysiology, 115( 1), 140-144. doi: 10.1016/j.clinph.2003.04.001 URL
22	Näätänen R., Schröger E., Karakas S., Tervaniemi M., & Paavilainen P . ( 1993). Development of a memory trace for a complex sound in the human brain. Neuroreport, 4( 5), 503-506. doi: 10.1097/00001756-199305000-00010 URL
23	Näätänen R., Tervaniemi M., Sussman E., Paavilainen P., & Winkler I . ( 2001). 'Primitive intelligence' in the auditory cortex. Trends in Neurosciences, 24( 5), 283-288. doi: 10.1016/S0166-2236(00)01790-2 URL
24	Nan Y., Liu L., Geiser E., Shu H., Gong C. C., Dong Q., .. Desimone R . ( 2018). Piano training enhances the neural processing of pitch and improves speech perception in Mandarin-speaking children. Proceedings of the National Academy of Sciences of the United States of America, 115( 28), E6630-E6639. doi: 10.1073/pnas.1808412115 URL
25	Nikjeh D. A., Lister J. J., & Frisch S. A . ( 2009). Preattentive cortical-evoked responses to pure tones, harmonic tones, and speech: Influence of music training. Ear and Hearing, 30( 4), 432-446. doi: 10.1097/AUD.0b013e3181a61bf2 URL
26	Norton A., Winner E., Cronin K., Overy K., Lee D. J., & Schlaug G . ( 2005). Are there pre-existing neural, cognitive, or motoric markers for musical ability? Brain and Cognition, 59( 2), 124-134. doi: 10.1016/j.bandc.2005.05.009 URL
27	Pantev C., Ross B., Fujioka T., Trainor L. J., Schulte M., & Schulz M . ( 2003). Music and learning-induced cortical plasticity. Annals of the New York Academy of Sciences, 999( 1), 438-450. doi: 10.1196/annals.1284.054 URL
28	Putkinen V., Tervaniemi M., Saarikivi K., Ojala P., & Huotilainen M . ( 2014). Enhanced development of auditory change detection in musically trained school- aged children: A longitudinal event-related potential study. Developmental Science, 17( 2), 282-297. doi: 10.1111/desc.2014.17.issue-2 URL
29	Ruzzoli M., Pirulli C., Brignani D., Maioli C., & Miniussi C . ( 2012). Sensory memory during physiological aging indexed by mismatch negativity (MMN). Neurobiology of Aging, 33( 3), 625.e21- 625. e30.
30	Sams M., Paavilainen P., Alho K., & Näätänen R . ( 1985). Auditory frequency discrimination and event-related potentials Discrimination de fréquences auditives et potentiels liés à l'événement. Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section, 62( 6), 437-448. doi: 10.1016/0168-5597(85)90054-1 URL
31	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), 688-694. doi: 10.1038/nn871
32	Tervaniemi M., Castaneda A., Knoll M., & Uther M . ( 2006). Sound processing in amateur musicians and nonmusicians: Event-related potential and behavioral indices. Neuroreport, 17( 11), 1225-1228. doi: 10.1097/01.wnr.0000230510.55596.8b URL
33	Tervaniemi M., Just V., Koelsch S., Widmann A., & Schröger E . ( 2005). Pitch discrimination accuracy in musicians vs nonmusicians: An event-related potential and behavioral study. Experimental Brain Research, 161( 1), 1-10. doi: 10.1007/s00221-004-2044-5 URL
34	Tervaniemi M., Rytkönen M., Schröger E., Ilmoniemi R. J., & Näätänen R . ( 2001). Superior formation of cortical memory traces for melodic patterns in musicians. Learning & Memory, 8( 5), 295-300.
35	Tervaniemi M., Sannemann C., Nöyränen M., Salonen J., & Pihko E . ( 2011). Importance of the left auditory areas in chord discrimination in music experts as demonstrated by MEG. European Journal of Neuroscience, 34( 3), 517-523. doi: 10.1111/ejn.2011.34.issue-3 URL
36	Virtala P., Huotilainen M., Partanen E., & Tervaniemi M . ( 2014). Musicianship facilitates the processing of Western music chords-An ERP and behavioral study. Neuropsychologia, 61, 247-258. doi: 10.1016/j.neuropsychologia.2014.06.028 URL
37	Virtala P., Huotilainen M., Putkinen V., Makkonen T., & Tervaniemi M . ( 2012). Musical training facilitates the neural discrimination of major versus minor chords in 13- year-old children. Psychophysiology, 49( 8), 1125-1132.
38	Vuust P., Brattico E., Glerean E., Seppänen M., Pakarinen S., Tervaniemi M., & Näätänen R . ( 2011). New fast mismatch negativity paradigm for determining the neural prerequisites for musical ability. Cortex, 47( 9), 1091-1098. doi: 10.1016/j.cortex.2011.04.026 URL
39	Vuust P., Brattico E., Seppänen M., Näätänen R., & Tervaniemi M . ( 2012 a). The sound of music: Differentiating musicians using a fast, musical multi-feature mismatch negativity paradigm. Neuropsychologia, 50( 7), 1432-1443. doi: 10.1016/j.neuropsychologia.2012.02.028 URL
40	Vuust P., Brattico E., Seppänen M., Näätänen R., Tervaniemi M., & Annals, N. Y. A. S . ( 2012 b). Practiced musical style shapes auditory skills. Neurosciences and Music Iv: Learning and Memory, 1252( 1), 139-146.
41	Vuust P., Liikala L., Näätänen R., Brattico P., & Brattico E . ( 2016). Comprehensive auditory discrimination profiles recorded with a fast parametric musical multi-feature mismatch negativity paradigm. Clinical Neurophysiology, 127( 4), 2065-2077. doi: 10.1016/j.clinph.2015.11.009 URL
42	Vuust P., Ostergaard L., Pallesen K. J., Bailey C., & Roepstorff A . ( 2009). Predictive coding of music-Brain responses to rhythmic incongruity. Cortex, 45( 1), 80-92. doi: 10.1016/j.cortex.2008.05.014 URL
43	Wang X. Y., Fu R., Xia X. Y., Chen X. L., Wu H., Landi N., .. Cong F. Y . ( 2018). Spatial Properties of Mismatch Negativity in Patients with Disorders of Consciousness. Neuroscience Bulletin, 34( 4), 700-708. doi: 10.1007/s12264-018-0260-4
44	Zhao, T. C., & Kuhl, P. K . ( 2016). Musical intervention enhances infants' neural processing of temporal structure in music and speech. Procedings of the National Academy of Sciences of the United States of America, 113( 19), 5212-5217. doi: 10.1073/pnas.1603984113 URL
45	Zhao T. C., Lam H. T. G., Sohi H., & Kuhl P. K . ( 2017). Neural processing of musical meter in musicians and non-musicians. Neuropsychologia, 106, 289-297. doi: 10.1016/j.neuropsychologia.2017.10.007 URL
46	Zinke K., Thöne L., Bolinger E. M., & Born J . ( 2018). Dissociating long and short-term memory in three-month-old infants using the mismatch response to voice stimuli. Frontiers in Psychology, 9, 8. doi: 10.3389/fpsyg.2018.00008 URL

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