Connectivity patterns during music listening: Evidence for action-based processing in musicians

Research output: Contribution to journalArticleScientificpeer-review

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Connectivity patterns during music listening : Evidence for action-based processing in musicians. / Alluri, Vinoo; Toiviainen, Petri; Burunat, Iballa; Kliuchko, Marina; Vuust, Peter; Brattico, Elvira.

In: Human Brain Mapping , Vol. 38, No. 6, 2017, p. 2955–2970.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

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 , vol. 38, no. 6, pp. 2955–2970. https://doi.org/10.1002/hbm.23565

APA

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

Vancouver

Author

Alluri, Vinoo ; Toiviainen, Petri ; Burunat, Iballa ; Kliuchko, Marina ; Vuust, Peter ; Brattico, Elvira. / Connectivity patterns during music listening : Evidence for action-based processing in musicians. In: Human Brain Mapping . 2017 ; Vol. 38, No. 6. pp. 2955–2970.

Bibtex - Download

@article{d971766a01f949b298a787b5c5fbd5f9,
title = "Connectivity patterns during music listening: Evidence for action-based processing in musicians",
abstract = "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.",
keywords = "FMRI, Functional connectivity, Graph theory, Music, Musical training",
author = "Vinoo Alluri and Petri Toiviainen and Iballa Burunat and Marina Kliuchko and Peter Vuust and Elvira Brattico",
year = "2017",
doi = "10.1002/hbm.23565",
language = "English",
volume = "38",
pages = "2955–2970",
journal = "Human Brain Mapping",
issn = "1065-9471",
publisher = "Wiley",
number = "6",

}

RIS - Download

TY - JOUR

T1 - Connectivity patterns during music listening

T2 - Evidence for action-based processing in musicians

AU - Alluri, Vinoo

AU - Toiviainen, Petri

AU - Burunat, Iballa

AU - Kliuchko, Marina

AU - Vuust, Peter

AU - Brattico, Elvira

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - FMRI

KW - Functional connectivity

KW - Graph theory

KW - Music

KW - Musical training

UR - http://www.scopus.com/inward/record.url?scp=85017339975&partnerID=8YFLogxK

U2 - 10.1002/hbm.23565

DO - 10.1002/hbm.23565

M3 - Article

VL - 38

SP - 2955

EP - 2970

JO - Human Brain Mapping

JF - Human Brain Mapping

SN - 1065-9471

IS - 6

ER -

ID: 12136953