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A window into the brain mechanisms associated with noise sensitivity.揭示与噪声敏感性相关的大脑机制。
Sci Rep. 2016 Dec 15;6:39236. doi: 10.1038/srep39236.
2
Comparing the Performance of Popular MEG/EEG Artifact Correction Methods in an Evoked-Response Study.比较诱发反应研究中流行的 MEG/EEG 伪迹校正方法的性能。
Comput Intell Neurosci. 2016;2016:7489108. doi: 10.1155/2016/7489108. Epub 2016 Jul 21.
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Hidden sources of joy, fear, and sadness: Explicit versus implicit neural processing of musical emotions.喜悦、恐惧和悲伤的隐藏来源:音乐情感的显性与隐性神经处理
Neuropsychologia. 2016 Aug;89:393-402. doi: 10.1016/j.neuropsychologia.2016.07.005. Epub 2016 Jul 6.
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It's Sad but I Like It: The Neural Dissociation Between Musical Emotions and Liking in Experts and Laypersons.虽悲伤却喜爱:专家与外行在音乐情感与喜好之间的神经解离
Front Hum Neurosci. 2016 Jan 6;9:676. doi: 10.3389/fnhum.2015.00676. eCollection 2015.
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Structural neuroplasticity in expert pianists depends on the age of musical training onset.专业钢琴家的结构神经可塑性取决于音乐训练开始的年龄。
Neuroimage. 2016 Feb 1;126:106-19. doi: 10.1016/j.neuroimage.2015.11.008. Epub 2015 Nov 14.
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The "silent" imprint of musical training.音乐训练的“无声”印记。
Hum Brain Mapp. 2016 Feb;37(2):536-46. doi: 10.1002/hbm.23045. Epub 2015 Nov 5.
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Action in Perception: Prominent Visuo-Motor Functional Symmetry in Musicians during Music Listening.感知中的行动:音乐家在听音乐时显著的视觉-运动功能对称性
PLoS One. 2015 Sep 30;10(9):e0138238. doi: 10.1371/journal.pone.0138238. eCollection 2015.
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Maladaptive and adaptive emotion regulation through music: a behavioral and neuroimaging study of males and females.通过音乐进行的适应不良和适应性情绪调节:一项针对男性和女性的行为与神经影像学研究。
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The reliability of continuous brain responses during naturalistic listening to music.音乐自然聆听过程中连续脑反应的可靠性。
Neuroimage. 2016 Jan 1;124(Pt A):224-231. doi: 10.1016/j.neuroimage.2015.09.005. Epub 2015 Sep 10.
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The association of noise sensitivity with music listening, training, and aptitude.噪音敏感性与音乐聆听、训练及天赋之间的关联。
Noise Health. 2015 Sep-Oct;17(78):350-7. doi: 10.4103/1463-1741.165065.

音乐聆听过程中的连接模式:音乐家基于动作加工的证据。

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

作者信息

Alluri Vinoo, Toiviainen Petri, Burunat Iballa, Kliuchko Marina, Vuust Peter, Brattico Elvira

机构信息

Department of Music, University of Jyväskylä, Jyväskylä, Finland.

Cognitive Brain Research Unit, Institute of Behavioural Sciences, University of Helsinki, Helsinki, Finland.

出版信息

Hum Brain Mapp. 2017 Jun;38(6):2955-2970. doi: 10.1002/hbm.23565. Epub 2017 Mar 28.

DOI:10.1002/hbm.23565
PMID:28349620
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6866725/
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. Hum Brain Mapp 38:2955-2970, 2017. © 2017 Wiley Periodicals, Inc.

摘要

音乐专长在大脑的形态和功能方面均有体现。近期研究表明,在静息状态下,大脑的多感官、躯体运动、默认模式(DMN)和突显(SN)网络之间的功能整合,使得音乐家与非音乐家有所区别。在此,我们旨在确定在自然状态下聆听音乐时,音乐家与非音乐家的大脑网络在信息交换方面是否存在差异。我们对参与者的功能磁共振成像(fMRI)反应进行了全脑图谱理论分析。组间差异显示,音乐家的主要枢纽包括大脑和小脑感觉运动区域,而非音乐家的主要枢纽则涵盖与默认模式网络相关的区域。对关键枢纽的社区结构分析表明,音乐家大脑中代表上肢和躯干的运动和躯体感觉小人像的整合程度更高。此外,更早开始训练的音乐家在听觉皮层以及与自上而下的过程、注意力、情感、躯体感觉处理和言语非言语处理相关的区域表现出更高的中心性。我们在此揭示了在自然状态下聆听音乐的情境中,大脑网络是如何自我组织的,即音乐家会自动激活基于动作的神经网络,而非音乐家则使用基于感知的神经网络来处理传入的听觉信息流。《人类大脑图谱》38:2955 - 2970,2017年。© 2017威利期刊公司。