Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Computational Reconstructions of Extracellular Action Potentials and Local Field Potentials of a Rat Cerebellum Using Point Neurons Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Characteristics of Karawitan Musicians’ Brain: sLORETA Investigation

Authors : Indra K. Wardani, Djohan, Fortunata Tyasrinestu, Phakkharawat Sittiprapaporn

Published in: Advances in Computing and Network Communications

Publisher: Springer Singapore

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The fast development of music research prompts numerous interdisciplinary issues. In the neuroscience field of study, music is being examined related to its impact on the cognitive process or the psychological process behind it. These investigations inspire music’s integration to numerous subjects, for example, neuroscience and neuropsychology. A few previous studies showed the distinction between musicians and non-musicians regarding brain structure and brain activities. Instead of differentiating brain activity between musician and non-musician, the present study demonstrated the different brain activity while musicians listened to music regarding their musical experience. Applying the electroencephalography (EEG) recording and source localization in the exploratory methodology toward Karawitan musicians (N = 20), the outcomes demonstrated higher brain activities in tuning into recognizable music, Gendhing Lancaran, Javanese traditional music. In addition, the dominant brain activities happened in the temporal lobe while Karawitan musicians listened to Gendhing Lancaran, Javanese traditional music.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Learning-Based Macronutrient Detection Through Plant Leaf
next chapter Automatic Detection of Parkinson Speech Under Noisy Environment
Literature
1.
Patston, L.L.M., Tippett, L.J.: The effect of background music on cognitive performance in musicians and nonmusicians. Music. Percept. 29(2), 173–183 (2011)CrossRef
2.
Husain, G., Thompson, W., Schellenberg, E.: Effects of musical tempo and mode on arousal, mood, and spatial abilities. Music. Percept. 20(2), 151–171 (2002)CrossRef
3.
Sluming, V., Brooks, J., Howard, M., Downess, J.J., Roberts, N.: Broca’s area supports enhanced visuospatial cognition in Ochestral musicians. J. Neurosci. 27(14), 3799–3806 (2007)CrossRef
4.
Gaser, C., Schlaug, G.: Brain structures differ between musicians and non-musicians. J. Neurosci. 23(27), 9240–9245 (2003)CrossRef
5.
Schlaug, G.: The brain of musicians. In: Peretz, I., Zatorre, R.J. (eds.) The Cognitive Neuroscience of Music, pp. 366–381. Oxford University Press, New York (2003)CrossRef
6.
Cross, I.: Music, cognition, culture, and evolution. In: Peretz, I., Zatorre, R.J. (eds.) The Cognitive Neuroscience of Music, pp. 42–56. Oxford University Press, New York (2003)CrossRef
7.
Tierney, A.T., Bergeson-Dana, T.R., Pisoni, D.B.: Effects of early musical experience on auditory sequence memory. Empir. Music. Rev. 3(4), 178–186 (2008)CrossRef
8.
Hyde, K.L., Lerch, J., Norton, A., Forgeard, M., Winner, E., Evans, A.C., Schlaug, G.: The effects of musical training on structural brain development: A longitudinal study. Ann. N. Y. Acad. Sci. 1169, 182–186 (2009)CrossRef
9.
Greenberg, D.M., Baron-Cohen, S., Stillwell, D.J., Kosinski, M., Rentfrow, P.J.: Musical preferences are linked to cognitive styles. PLoS ONE 10(7), e0131151 (2015)CrossRef
10.
Bos, D.P.O.: EEG-based emotion recognition: The influence of visual and auditory stimuli. 1–17 (2006)
11.
Tanji, K., Suzuki, K., Delorme, A., Shamoto, H., Nakasato, N.: High-frequency gamma band activity in the basal temporal cortex during picture-naming and lexical-decision tasks. J. Neurosci. 25(13), 3287–3293 (2005)CrossRef
12.
Grahn, J.A., Brette, M.: Rhytm and beat perception in motor areas of the brain. J. Cogn. Neurosci. 19(5), 893–906 (2007)CrossRef
13.
Gur, R., Turetsky, B.I., Matsui, M., Yan, M., Bilker, W., Hughett, P., Gur, R.E.: Sex differences in brain gray and white matter in healthy young adults: Correlations with cognitive performance. J. Neurosci. 19(10), 4065–4072 (1999)CrossRef
14.
Pascual-Marqui, R.D.: Standardized low-resolution brain electromagnetic tomography (sLORETA): Technical Details. Methods Find. Exp. Clin. Pharmacol. 24(Suppl. D), 5–12 (2002)
15.
Pereira, C.S., Teixeira, J., Figueiredo, P., Xavier, J., Castro, S.L., Brattico, E.: Music and emotions in the brain: Familiarity matters. PLoS ONE 6(11), e27241 (2011)CrossRef
16.
Freitas, C., Manzato, E., Burini, A., Taylor, M.J., Lerch, J.P., Anagnostou, E.: Neural correlates of familiarity in music listening: A systematic review and a neuroimaging meta-analysis. Front. Neurosci. 12, 686 (2018)CrossRef
17.
Klostermann, E.C., Loui, P., Shimamura, A.P.: Activation of right parietal cortex during memory retrieval of nonlinguistic auditory stimuli. Cogn., Affect., Behav. Neurosci. 9, 242–248 (2009)CrossRef
18.
Sestieri, C., Shulman, G.L., Corbetta, M.: The contribution of the human posterior parietal cortex to episodic memory. Nat. Rev. Neurosci. 18, 183–192 (2017)CrossRef
19.
Hutchinson, J.B., Uncapher, M.R., Wagner, A.D.: Posterior parietal cortex and episodic retrieval: Convergent and divergent effects of attention and memory. Learn. Mem. 16, 343–356 (2009)CrossRef
20.
Rutishauser, U., Aflalo, T., Rosario, E.R., Pouratian, N., Andersen, R.A.: Single-neuron representation of memory strength and recognition confidence in left human posterior parietal cortex. Neuron 97, 209–220.e3 (2018)CrossRef
21.
Jagiello, R., Pomper, U., Yoneya, M., Zhao, S., Chait, M.: Rapid brain responses to familiar vs. unfamiliar music—An EEG and pupillometry study. Scientific Reports 9, 15570 (2019)
22.
Fujioka, T., Trainor, L.J., Ross, B., Kakigi, R., Pantev, C.: Automatic encoding of polyphonic melodies in musicians and nonmusicians. J. Cogn. Neurosci. 17, 1578–1592 (2005)CrossRef
23.
Trainor, L.J., Marie, C., Bruce, I.C., Bidelman, G.M.: Explaining the high voice superiority effect in polyphonic music: Evidence from cortical evoked potentials and peripheral auditory models. Hear. Res. 308, 60–70 (2014)CrossRef
24.
Filipic, S., Tillmann, B., Bigand, E.: Erratum to: Judging familiarity and emotion from very brief musical excerpts. Psychon. Bull. Rev. 17, 601 (2010)CrossRef
25.
Halpern, A.R., Bartlett, J.C.: Memory for melodies. In: Jones, R.M., Fay, R.R., Popper, A.A. (eds.) Music Perception, pp. 233–258. Springer, New York (2010)CrossRef
26.
Schellenberg, E.G., Iverson, P., Mckinnon, M.C.: Name that tune: Identifying popular recordings from brief excerpts. Psychon. Bull. Rev. 6, 641–646 (1999)CrossRef
27.
Koelsch, S.: Investigating the neural encoding of emotion with music. Neuron 98, 1075–1079 (2018)CrossRef
28.
Halpern, A.R., ZATORRE, R.J.: When that tune runs through your head: A pet Investigation of auditory imagery for familiar melodies. Cereb. Cortex 9, 697–704 (1999)CrossRef
29.
Kraemer, D.J.M., Macrae, C.N., Green, A.E., Kelley, W.M.: Sound of silence activates auditory cortex. Nature 434, 158 (2005)CrossRef
30.
Martarelli, C.S., Mayer, B., Mast, F.W.: Daydreams and trait affect: The role of the listener’s state of mind in the emotional response to music. Conscious. Cognition 46, 27–35 (2016)CrossRef
31.
Janata, P., Tomic, S.T., Rakowski, S.K.: Characterisation of music-evoked autobiographical memories. Memory 15, 845–860 (2007)CrossRef
Metadata
Title
Characteristics of Karawitan Musicians’ Brain: sLORETA Investigation
Authors
Indra K. Wardani
Djohan
Fortunata Tyasrinestu
Phakkharawat Sittiprapaporn
Copyright Year
2021
Publisher
Springer Singapore
Book
Advances in Computing and Network Communications

Print ISBN: 978-981-336-986-3

Electronic ISBN: 978-981-336-987-0

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-33-6987-0_15