Connectivity Patterns During Music Listening: Evidence for Action-Based Processing in Musicians
Alluri, V., Toiviainen, P., Burunat, I., Kliuchko, M., Vuust, P., & Brattico, E. (2017). Connectivity Patterns During Music Listening: Evidence for Action-Based Processing in Musicians. Human Brain Mapping, 38(6), 2955-2970. https://doi.org/10.1002/hbm.23565
Julkaistu sarjassa
Human Brain MappingTekijät
Päivämäärä
2017Oppiaine
MusiikkitiedeMonitieteinen aivotutkimuskeskusHyvinvoinnin tutkimuksen yhteisöMusicologyCentre for Interdisciplinary Brain ResearchSchool of WellbeingTekijänoikeudet
© 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.
Musical 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.
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Julkaisija
John Wiley & Sons, Inc.ISSN Hae Julkaisufoorumista
1065-9471Asiasanat
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https://converis.jyu.fi/converis/portal/detail/Publication/26930591
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