论文标题
网络神经科学和连接革命
Network neuroscience and the connectomics revolution
论文作者
论文摘要
连接组学和网络神经科学提供定量的科学框架，用于建模和分析结构和功能相互作用的神经元，神经元种群和宏观脑区域的网络。观点和强调分布式大脑功能的这种转变为大脑网络结构在认知，疾病，发育和衰老中所扮演的角色提供了基本的见解。在本章中，我们回顾了Macroscale人类连接组学的核心概念。从使用功能和扩散MRI数据的网络构建，再到使用网络神经科学的方法进行分析，本综述突出了关键发现，常用方法，并讨论了连接组学领域的几个新兴前沿。
Connectomics and network neuroscience offer quantitative scientific frameworks for modeling and analyzing networks of structurally and functionally interacting neurons, neuronal populations, and macroscopic brain areas. This shift in perspective and emphasis on distributed brain function has provided fundamental insight into the role played by the brain's network architecture in cognition, disease, development, and aging. In this chapter, we review the core concepts of human connectomics at the macroscale. From the construction of networks using functional and diffusion MRI data, to their subsequent analysis using methods from network neuroscience, this review highlights key findings, commonly-used methodologies, and discusses several emerging frontiers in connectomics.
