Connectivity Patterns During Music Listening: Evidence for Action-Based Processing in Musicians

被引:64
作者
Alluri, Vinoo [1 ]
Toiviainen, Petri [1 ]
Burunat, Iballa [1 ]
Kliuchko, Marina [2 ]
Vuust, Peter [3 ,4 ]
Brattico, Elvira [3 ,4 ,5 ]
机构
[1] Univ Jyvaskyla, Dept Mus, PL 35M, Jyvaskyla 40014, Finland
[2] Univ Helsinki, Inst Behav Sci, Cognit Brain Res Unit, Helsinki, Finland
[3] Aarhus Univ, Dept Clin Med, Ctr Mus Brain MIB, Aarhus, Denmark
[4] Royal Acad Mus Aarhus, Aarhus, Denmark
[5] Aalto Univ, Sch Sci, Adv Magnet Imaging AMI Ctr, Espoo, Finland
基金
新加坡国家研究基金会; 芬兰科学院;
关键词
music; fMRI; musical training; functional connectivity; graph theory; WHITE-MATTER PLASTICITY; VENTRAL PREMOTOR CORTEX; BRAIN RESPONSES; FUNCTIONAL BRAIN; NETWORK SCIENCE; HESCHLS GYRUS; TEMPORAL POLE; MOTOR CORTEX; BROCAS AREA; FMRI;
D O I
10.1002/hbm.23565
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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. (C) 2017 Wiley Periodicals, Inc.
引用
收藏
页码:2955 / 2970
页数:16
相关论文
共 115 条
[1]   Inter-subject synchronization of brain responses during natural music listening [J].
Abrams, Daniel A. ;
Ryali, Srikanth ;
Chen, Tianwen ;
Chordia, Parag ;
Khouzam, Amirah ;
Levitin, Daniel J. ;
Menon, Vinod .
EUROPEAN JOURNAL OF NEUROSCIENCE, 2013, 37 (09) :1458-1469
[2]  
Alluri V., 2015, Psychomusicology, V25, P443, DOI [DOI 10.1037/PMU0000124, 10.1037/pmu0000124]
[3]   From Vivaldi to Beatles and back: Predicting lateralized brain responses to music [J].
Alluri, Vinoo ;
Toiviainen, Petri ;
Lund, Torben E. ;
Wallentin, Mikkel ;
Vuust, Peter ;
Nandi, Asoke K. ;
Ristaniemi, Tapani ;
Brattico, Elvira .
NEUROIMAGE, 2013, 83 :627-636
[4]   Large-scale brain networks emerge from dynamic processing of musical timbre, key and rhythm [J].
Alluri, Vinoo ;
Toiviainen, Petri ;
Jaaskelainen, Iiro P. ;
Glerean, Enrico ;
Sams, Mikko ;
Brattico, Elvira .
NEUROIMAGE, 2012, 59 (04) :3677-3689
[5]  
Amunts K, 1997, HUM BRAIN MAPP, V5, P206, DOI 10.1002/(SICI)1097-0193(1997)5:3<206::AID-HBM5>3.0.CO
[6]  
2-7
[7]  
[Anonymous], PHYS REV E
[8]   The role of musical training in emergent and event-based timing [J].
Baer, L. H. ;
Thibodeau, J. L. N. ;
Gralnick, T. M. ;
Li, K. Z. H. ;
Penhune, V. B. .
FRONTIERS IN HUMAN NEUROSCIENCE, 2013, 7
[9]   Early Musical Training Is Linked to Gray Matter Structure in the Ventral Premotor Cortex and Auditory-Motor Rhythm Synchronization Performance [J].
Bailey, Jennifer Anne ;
Zatorre, Robert J. ;
Penhune, Virginia B. .
JOURNAL OF COGNITIVE NEUROSCIENCE, 2014, 26 (04) :755-767
[10]   Specialization of the specialized in features of external human brain morphology [J].
Bangert, Marc ;
Schlaug, Gottfried .
EUROPEAN JOURNAL OF NEUROSCIENCE, 2006, 24 (06) :1832-1834