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dc.contributor.authorAlluri, Vinoo
dc.contributor.authorToiviainen, Petri
dc.contributor.authorBurunat, Iballa
dc.contributor.authorKliuchko, Marina
dc.contributor.authorVuust, Peter
dc.contributor.authorBrattico, Elvira
dc.date.accessioned2017-05-19T10:11:39Z
dc.date.available2018-03-28T21:45:05Z
dc.date.issued2017
dc.identifier.citationAlluri, V., Toiviainen, P., Burunat, I., Kliuchko, M., Vuust, P., & Brattico, E. (2017). Connectivity Patterns During Music Listening: Evidence for Action-Based Processing in Musicians. <i>Human Brain Mapping</i>, <i>38</i>(6), 2955-2970. <a href="https://doi.org/10.1002/hbm.23565" target="_blank">https://doi.org/10.1002/hbm.23565</a>
dc.identifier.otherCONVID_26930591
dc.identifier.otherTUTKAID_73392
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/54037
dc.description.abstractMusical expertise is visible both in the morphology and functionality of the brain. Recent research indicates that functional integration between multi-sensory, somato-motor, default-mode (DMN), and salience (SN) networks of the brain differentiates musicians from non-musicians during resting state. Here, we aimed at determining whether brain networks differentially exchange information in musicians as opposed to non-musicians during naturalistic music listening. Whole-brain graph-theory analyses were performed on participants' fMRI responses. Group-level differences revealed that musicians' primary hubs comprised cerebral and cerebellar sensorimotor regions whereas non-musicians' dominant hubs encompassed DMN-related regions. Community structure analyses of the key hubs revealed greater integration of motor and somatosensory homunculi representing the upper limbs and torso in musicians. Furthermore, musicians who started training at an earlier age exhibited greater centrality in the auditory cortex, and areas related to top-down processes, attention, emotion, somatosensory processing, and non-verbal processing of speech. We here reveal how brain networks organize themselves in a naturalistic music listening situation wherein musicians automatically engage neural networks that are action-based while non-musicians use those that are perception-based to process an incoming auditory stream.
dc.language.isoeng
dc.publisherJohn Wiley & Sons, Inc.
dc.relation.ispartofseriesHuman Brain Mapping
dc.subject.othermusiikin kuuntelu
dc.subject.otherfMRI
dc.subject.othermusical training
dc.subject.otherfunctional connectivity
dc.subject.othergraph theory
dc.titleConnectivity Patterns During Music Listening: Evidence for Action-Based Processing in Musicians
dc.typearticle
dc.identifier.urnURN:NBN:fi:jyu-201705192419
dc.contributor.laitosMusiikin, taiteen ja kulttuurin tutkimuksen laitosfi
dc.contributor.laitosDepartment of Music, Art and Culture Studiesen
dc.contributor.oppiaineMusiikkitiedefi
dc.contributor.oppiaineMonitieteinen aivotutkimuskeskusfi
dc.contributor.oppiaineHyvinvoinnin tutkimuksen yhteisöfi
dc.contributor.oppiaineMusicologyen
dc.contributor.oppiaineCentre for Interdisciplinary Brain Researchen
dc.contributor.oppiaineSchool of Wellbeingen
dc.type.urihttp://purl.org/eprint/type/JournalArticle
dc.date.updated2017-05-19T09:15:06Z
dc.type.coarhttp://purl.org/coar/resource_type/c_2df8fbb1
dc.description.reviewstatuspeerReviewed
dc.format.pagerange2955-2970
dc.relation.issn1065-9471
dc.relation.numberinseries6
dc.relation.volume38
dc.type.versionacceptedVersion
dc.rights.copyright© 2017 Wiley Periodicals, Inc. This is a final draft version of an article whose final and definitive form has been published by Wiley. Published in this repository with the kind permission of the publisher.
dc.rights.accesslevelopenAccessfi
dc.subject.ysomusiikki
dc.subject.ysomuusikot
dc.subject.ysoaivotutkimus
dc.subject.ysoneurotieteet
jyx.subject.urihttp://www.yso.fi/onto/yso/p1808
jyx.subject.urihttp://www.yso.fi/onto/yso/p1644
jyx.subject.urihttp://www.yso.fi/onto/yso/p23705
jyx.subject.urihttp://www.yso.fi/onto/yso/p18502
dc.relation.doi10.1002/hbm.23565
dc.type.okmA1


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