Suppr超能文献

探索人类大脑解剖学和功能连接性的新方法。

New approaches for exploring anatomical and functional connectivity in the human brain.

作者信息

Ramnani Narender, Behrens Timothy E J, Penny Will, Matthews Paul M

机构信息

Centre for Functional Magnetic Resonance Imaging of the Brain, Department of Clinical Neurology, University of Oxford, Headley Way, Oxford OX3 9DU, United Kingdom.

出版信息

Biol Psychiatry. 2004 Nov 1;56(9):613-9. doi: 10.1016/j.biopsych.2004.02.004.

Abstract

Information processing in the primate brain is based on the complementary principles of modular and distributed information processing. The former emphasizes the specialization of functions within different brain areas. The latter emphasizes the massively parallel nature of brain networks and the fact that function also emerges from the flow of information between brain areas. The localization of function to specific brain areas ("functional segregation") is the commonest approach to investigating function; however, an emerging, complementary approach ("functional integration") describes function in terms of the information flow across networks of areas. Here, we highlight recent advances in neuroimaging methodology that have made it possible to investigate the anatomical architecture of networks in the living human brain with diffusion tensor imaging (DTI). We also highlight recent thinking on the ways in which functional imaging can be used to characterize information transmission across networks in the human brain (functional and effective connectivity).

摘要

灵长类动物大脑中的信息处理基于模块化和分布式信息处理这两个互补原则。前者强调不同脑区功能的专业化。后者强调脑网络的大规模并行性质以及功能也源自脑区之间信息流这一事实。将功能定位到特定脑区(“功能分离”)是研究功能最常用的方法;然而,一种新兴的互补方法(“功能整合”)根据跨区域网络的信息流来描述功能。在此,我们重点介绍神经成像方法的最新进展,这些进展使得利用扩散张量成像(DTI)研究活体人类大脑网络的解剖结构成为可能。我们还重点介绍了近期关于如何使用功能成像来表征人类大脑网络间信息传递(功能连接和有效连接)的思考。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验