Influence of Musical Expertise on the processing of Musical Features in a Naturalistic Setting
Niranjan, D., Burunat, I., Toiviainen, P., Brattico, E., & Alluri, V. (2019). Influence of Musical Expertise on the processing of Musical Features in a Naturalistic Setting. In CCN 2019 : 2019 Conference on Cognitive Computational Neuroscience (Article 1314). Conference Management Services, Inc.. https://doi.org/10.32470/ccn.2019.1314-0
© Authors, 2019
Musical training causes structural and functional changes in the brain due to its sensory-motor demands, but the modulatory effect of musical training on music feature processing in the brain in a continuous music listening paradigm, has not been investigated thus far. In this work, we investigate the differences between musicians and non-musicians in the encoding of musical features encompassing musical timbre, rhythm and tone. 18 musicians and 18 non-musicians were scanned using fMRI while listening to 3 varied stimuli. Acoustic features corresponding to timbre, rhythm and tone were computationally extracted from the stimuli and correlated with brain responses, followed by t-tests on group level maps to uncover encoding differences between the two groups. The musicians demonstrated greater involvement of limbic and reward regions, and regions possessing adaptations to music processing due to training, indicating greater analytic processing. However, as a group, they did not exhibit large regions of consistent correlation patterns, especially in processing high-level features, due to differences in processing strategies arising out of their varied training. The non-musicians exhibited broader regions of correlations, implying greater similarities in bottom-up sensory processing. ...
PublisherConference Management Services, Inc.
ConferenceConference on Cognitive Computational Neuroscience
Is part of publicationCCN 2019 : 2019 Conference on Cognitive Computational Neuroscience
Publication in research information system
MetadataShow full item record
Related funder(s)Academy of Finland
Funding program(s)Research post as Academy Professor, AoF
Additional information about fundingThis work was supported by the Academy of Finland (project numbers 272250 and 274037), and the Danish National Research Foundation (DNRF117).
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