网络神经科学:音乐和脑成像研究的图论网络技术导论

Robin W. Wilkins
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引用次数: 2

摘要

本章介绍了音乐和脑成像研究的网络神经科学技术。本章的关键是更广泛的网络科学领域的背景,作为一种研究复杂系统的方法,以及目前更被接受的图论技术和网络神经科学中应用的分析方法。本章的重点是两个主要组成部分。首先,介绍了基于网络的技术,这些技术可以成功地应用于神经成像数据,以了解大脑的结构和功能连接。其次,将这些技术应用于fMRI数据的一些最新结果和意义,有助于我们进一步了解音乐和音乐训练对大脑结构和功能网络的影响。最终,基于网络技术的应用产生的有希望的证据可能有助于解决围绕音乐对大脑影响的基本问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network Neuroscience: An Introduction to Graph Theory Network-Based Techniques for Music and Brain Imaging Research
This chapter provides an introduction to network neuroscience techniques for music and brain imaging research. Key to this chapter is a background to the field of network science more broadly, as an approach to the study of complex systems, in addition to the more currently accepted graph theory techniques and applied analysis methods within network neuroscience. The focus of the chapter is on two main components. First, an introduction to network-based techniques that may be successfully applied to neuroimaging data for understanding structural and functional brain connectivity. Second, some of the more recent results and implications from the application of these techniques to fMRI data for advancing our understanding of the effects of music and musical training on structural and functional brain networks. Ultimately, the promising evidence resulting from the application of network-based techniques may help resolve fundamental questions surrounding the effects of music on the brain.
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