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音乐专长独立于绝对音高能力塑造功能和结构的大脑网络。

Musical Expertise Shapes Functional and Structural Brain Networks Independent of Absolute Pitch Ability.

机构信息

Division of Neuropsychology, Department of Psychology, University of Zurich, 8050 Zurich, Switzerland

Department of Psychiatry and Behavioral Sciences, Stanford University, School of Medicine, Stanford, California 94305.

出版信息

J Neurosci. 2021 Mar 17;41(11):2496-2511. doi: 10.1523/JNEUROSCI.1985-20.2020. Epub 2021 Jan 25.

Abstract

Professional musicians are a popular model for investigating experience-dependent plasticity in human large-scale brain networks. A minority of musicians possess absolute pitch, the ability to name a tone without reference. The study of absolute pitch musicians provides insights into how a very specific talent is reflected in brain networks. Previous studies of the effects of musicianship and absolute pitch on large-scale brain networks have yielded highly heterogeneous findings regarding the localization and direction of the effects. This heterogeneity was likely influenced by small samples and vastly different methodological approaches. Here, we conducted a comprehensive multimodal assessment of effects of musicianship and absolute pitch on intrinsic functional and structural connectivity using a variety of commonly used and state-of-the-art multivariate methods in the largest sample to date ( = 153 female and male human participants; 52 absolute pitch musicians, 51 non-absolute pitch musicians, and 50 non-musicians). Our results show robust effects of musicianship in interhemispheric and intrahemispheric connectivity in both structural and functional networks. Crucially, most of the effects were replicable in both musicians with and without absolute pitch compared with non-musicians. However, we did not find evidence for an effect of absolute pitch on intrinsic functional or structural connectivity in our data: The two musician groups showed strikingly similar networks across all analyses. Our results suggest that long-term musical training is associated with robust changes in large-scale brain networks. The effects of absolute pitch on neural networks might be subtle, requiring very large samples or task-based experiments to be detected. A question that has fascinated neuroscientists, psychologists, and musicologists for a long time is how musicianship and absolute pitch, the rare talent to name a tone without reference, are reflected in large-scale networks of the human brain. Much is still unknown as previous studies have reported widely inconsistent results based on small samples. Here, we investigate the largest sample of musicians and non-musicians to date ( = 153) using a multitude of established and novel analysis methods. Results provide evidence for robust effects of musicianship on functional and structural networks that were replicable in two separate groups of musicians and independent of absolute pitch ability.

摘要

专业音乐家是研究人类大规模大脑网络中经验依赖性可塑性的常用模型。少数音乐家拥有绝对音高,即无需参考就能命名音调的能力。对拥有绝对音高的音乐家的研究为了解特定才能如何反映在大脑网络中提供了线索。先前关于音乐才能和绝对音高对大规模大脑网络影响的研究在效应的定位和方向上产生了高度异质的发现。这种异质性可能受到小样本和截然不同的方法学方法的影响。在这里,我们使用各种常用和最先进的多元方法,对最大规模的样本(= 153 名女性和男性人类参与者;52 名绝对音高音乐家、51 名非绝对音高音乐家和 50 名非音乐家)进行了全面的多模态评估,以研究音乐才能和绝对音高对内在功能和结构连通性的影响。我们的结果显示,音乐才能对结构和功能网络中的半球间和半球内连通性具有强大的影响。至关重要的是,与非音乐家相比,大多数音乐家(无论是否具有绝对音高)都能在两个音乐家群体中复制这些效应。然而,我们在数据中没有发现绝对音高对内在功能或结构连通性的影响的证据:两个音乐家群体在所有分析中都表现出惊人相似的网络。我们的结果表明,长期的音乐训练与大规模大脑网络的显著变化有关。绝对音高对神经网络的影响可能很细微,需要非常大的样本或基于任务的实验才能检测到。长期以来,神经科学家、心理学家和音乐学家一直对一个问题感到着迷,即音乐才能和绝对音高(无需参考就能命名音调的罕见才能)如何反映在人类大脑的大规模网络中。由于以前的研究基于小样本报告了广泛不一致的结果,因此还有很多未知之处。在这里,我们使用多种已建立和新颖的分析方法,研究了迄今为止最大的音乐家和非音乐家样本(= 153)。结果为音乐才能对功能和结构网络的强大影响提供了证据,这些影响在两个独立的音乐家群体中具有可重复性,并且与绝对音高能力无关。

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