Kumagai, Y., Arvaneh, M. and Tanaka, T. (2017) Familiarity Affects Entrainment of EEG in Music Listening. Frontiers in Human Neuroscience, 11. 384.
Abstract
Music perception involves complex brain functions. The relationship between music and brain such as cortical entrainment to periodic tune, periodic beat, and music have been well investigated. It has also been reported that the cerebral cortex responded more strongly to the periodic rhythm of unfamiliar music than to that of familiar music. However, previous works mainly used simple and artificial auditory stimuli like pure tone or beep. It is still unclear how the brain response is influenced by the familiarity of music. To address this issue, we analyzed electroencelphalogram (EEG) to investigate the relationship between cortical response and familiarity of music using melodies produced by piano sounds as simple natural stimuli. The cross-correlation function averaged across trials, channels, and participants showed two pronounced peaks at time lags around 70 ms and 140 ms. At the two peaks the magnitude of the cross-correlation values were significantly larger when listening to unfamiliar and scrambled music compared to those when listening to familiar music. Our findings suggest that the response to unfamiliar music is stronger than that to familiar music. One potential application of our findings would be the discrimination of listeners’ familiarity with music, which provides an important tool for assessment of brain activity.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 Kumagai, Arvaneh and Tanaka. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield) |
Funding Information: | Funder Grant number DAIWA ANGLO JAPANESE FOUNDATION (THE) 11398/12147 |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Aug 2017 15:42 |
Last Modified: | 21 Aug 2017 15:42 |
Published Version: | https://doi.org/10.3389/fnhum.2017.00384 |
Status: | Published |
Publisher: | Frontiers Media |
Refereed: | Yes |
Identification Number: | 10.3389/fnhum.2017.00384 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:120289 |