Functional and effective connectivity in neuroimaging: A synthesis
Functional and effective connectivity in neuroimaging: A synthesis
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DOI：
10.1002/hbm.460020107
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发表时间：
1994-01-01
影响因子：
4.8
通讯作者：
Friston, Karl J.
中科院分区：
文献类型：
--
作者：
Friston, Karl J.
大脑似乎遵循两个功能组织原则：功能分离和功能整合。功能性专门化区域内部和之间的整合是由功能性或有效连接介导的。这种连接的特征是神经科学许多领域的重要主题。本文介绍了一种方法，已被用于功能成像。本文综述了功能和有效连接（如神经影像学中使用的术语）之间的基本区别，以及它们在解决功能组织的几个方面（例如，分布式系统的拓扑结构，皮层区域之间的整合，连接和非线性相互作用的时间依赖性变化）中的作用。重点放在这些概念的明显不同的应用程序之间的接触点，特别是本征图像或空间模式的核心作用。虽然已经开发的框架本质上是线性的，但它已被扩展到评估皮层区域之间的非线性相互作用。
The brain appears to adhere to two principles of functional organization; functional segregation and functional integration. The integration within and between functionally specialized areas is mediated by functional or effective connectivity. The characterization of this sort of connectivity is an important theme in many areas of neuroscience. This article presents one approach that has been used in functional imaging. This article reviews the basic distinction between functional and effective connectivity (as the terms are used in neuroimaging) and their role in addressing several aspects of functional organization (e.g. the topography of distributed systems, integration between cortical areas, time-dependent changes in connectivity and nonlinear interactions). Emphasis is placed on the points of contact between the apparently diverse applications of these concepts and in particular the central role of eigenimages or spatial modes. Although the framework that has been developed is inherently linear, it has been extended to assess nonlinear interactions among cortical areas.