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dc.contributor.authorNiranjan, Dipankar
dc.contributor.authorBurunat, Iballa
dc.contributor.authorToiviainen, Petri
dc.contributor.authorBrattico, Elvira
dc.contributor.authorAlluri, Vinoo
dc.date.accessioned2019-12-11T10:55:58Z
dc.date.available2019-12-11T10:55:58Z
dc.date.issued2019
dc.identifier.citationNiranjan, 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 <i>CCN 2019 : 2019 Conference on Cognitive Computational Neuroscience</i> (Article 1314). Conference Management Services, Inc.. <a href="https://doi.org/10.32470/ccn.2019.1314-0" target="_blank">https://doi.org/10.32470/ccn.2019.1314-0</a>
dc.identifier.otherCONVID_32658155
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/66734
dc.description.abstractMusical 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.en
dc.format.mimetypeapplication/pdf
dc.languageeng
dc.language.isoeng
dc.publisherConference Management Services, Inc.
dc.relation.ispartofCCN 2019 : 2019 Conference on Cognitive Computational Neuroscience
dc.rightsCC BY 3.0
dc.subject.otherfMRI
dc.subject.othermusicians vs non-musicians
dc.subject.othermusic processing
dc.subject.otheracoustic feature extraction
dc.subject.othernaturalistic stimulus
dc.titleInfluence of Musical Expertise on the processing of Musical Features in a Naturalistic Setting
dc.typeconference paper
dc.identifier.urnURN:NBN:fi:jyu-201912115200
dc.contributor.laitosMusiikin, taiteen ja kulttuurin tutkimuksen laitosfi
dc.contributor.laitosDepartment of Music, Art and Culture Studiesen
dc.contributor.oppiaineMusiikkitiedefi
dc.contributor.oppiaineMusicologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.type.coarhttp://purl.org/coar/resource_type/c_5794
dc.description.reviewstatusnonPeerReviewed
dc.type.versionpublishedVersion
dc.rights.copyright© Authors, 2019
dc.rights.accesslevelopenAccessfi
dc.type.publicationconferenceObject
dc.relation.conferenceConference on Cognitive Computational Neuroscience
dc.relation.grantnumber272250
dc.subject.ysoprosessointi
dc.subject.ysomusiikkipsykologia
dc.subject.ysomuusikot
dc.subject.ysoneuropsykologia
dc.subject.ysotoiminnallinen magneettikuvaus
dc.subject.ysoärsykkeet
dc.format.contentfulltext
jyx.subject.urihttp://www.yso.fi/onto/yso/p4550
jyx.subject.urihttp://www.yso.fi/onto/yso/p13805
jyx.subject.urihttp://www.yso.fi/onto/yso/p1644
jyx.subject.urihttp://www.yso.fi/onto/yso/p14664
jyx.subject.urihttp://www.yso.fi/onto/yso/p24211
jyx.subject.urihttp://www.yso.fi/onto/yso/p2943
dc.rights.urlhttps://creativecommons.org/licenses/by/3.0/
dc.relation.doi10.32470/ccn.2019.1314-0
dc.relation.funderSuomen Akatemiafi
dc.relation.funderResearch Council of Finlanden
jyx.fundingprogramAkatemiaprofessorin tehtävä, SAfi
jyx.fundingprogramResearch post as Academy Professor, AoFen
jyx.fundinginformationThis work was supported by the Academy of Finland (project numbers 272250 and 274037), and the Danish National Research Foundation (DNRF117).
dc.type.okmD3


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