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Brain networks: The next steps Comment on: 'Understanding brain networks and brain organization' by Luiz Pessoa

机译:大脑网络:下一步评述:Luiz Pessoa的“理解大脑网络和大脑组织”

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摘要

The study of brain function from the perspective of whole brain networks has been a focus within the brain imaging community for many years, but has not yet overtaken the traditional approach of focusing on a specific region or set of regions. Pessoa [1] provides a very nice summary of the many reasons why network-based approaches should be used more commonly while also outlining the open questions and challenges, many of which also exist for the predominant region-based approach. One important point to frame the problem well, however, is to define carefully what is meant by the term network, which can be used in many different ways. Pessoa's definition is consistent with that used in the network science field, that is, a graph theoretical perspective based on nodes and edges, though other (useful) definitions are also quite widely used in the brain imaging community and should not be discounted [2]. The concept of networks is a very powerful tool for studying the brain, and also for potentially pointing us to regions that are at high-risk or potentially especially important to protect (or the oft undervalued weak but wide-spread connections as Pessoa points out).
机译:从全脑网络的角度对脑功能的研究多年来一直是脑成像社区关注的焦点,但尚未取代传统的专注于特定区域或区域集的方法。 Pessoa [1]很好地总结了为什么应更普遍地使用基于网络的方法的许多原因,同时还概述了未解决的问题和挑战,其中许多问题也存在于主要的基于区域的方法中。但是,要很好地解决问题,重要的一点是要仔细定义“网络”一词的含义,该网络可以以许多不同的方式使用。 Pessoa的定义与网络科学领域中使用的定义一致,即基于节点和边缘的图形理论透视图,尽管其他(有用的)定义在大脑成像社区中也得到了广泛使用,不应小视[2] 。网络的概念是研究大脑的一种非常强大的工具,也可以潜在地将我们引向处于高风险或可能特别重要的区域以进​​行保护(或者像Pessoa所指出的那样,人们常常低估了薄弱而广泛的联系) 。

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