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人类静息态功能磁共振成像中跨网络通信的原理

Principles of cross-network communication in human resting state fMRI.

作者信息

Mitra Anish, Raichle Marcus E

机构信息

Department of Radiology, Washington University, St Louis, MO, USA.

Department of Neurology, Washington University, St Louis, MO, USA.

出版信息

Scand J Psychol. 2018 Feb;59(1):83-90. doi: 10.1111/sjop.12422.

Abstract

Directed signaling among and within the large-scale networks of the human brain is functionally critical. Recent advances in our understanding of spontaneous fluctuations of the fMRI BOLD signal have provided strategies to study the spatial-temporal properties of directed signaling at infra-slow frequencies. Herein we explore the relationship between two canonical systems of the human brain, the default mode network (DMN) and the dorsal attention network (DAN) whose anti-correlated relationship is well known but poorly understood. We find that within the DMN, activity moves from retrosplenial to prefrontal cortex whereas in the DAN activity moves from the frontal eye fields to the parietal cortex. Bi-directional communication between the two networks occurs via their earliest elements (i.e., from the retrosplenial cortex of the DMN to the frontal eye fields of the DAN). This framework for network communication appears to generalize across all networks providing an expanded basis for understanding human brain function.

摘要

人类大脑大规模网络之间及内部的定向信号传导在功能上至关重要。我们对功能磁共振成像血氧水平依赖(BOLD)信号自发波动理解的最新进展,提供了研究超低频定向信号时空特性的策略。在此,我们探讨人类大脑两个典型系统——默认模式网络(DMN)和背侧注意网络(DAN)之间的关系,它们的反相关关系广为人知,但却了解甚少。我们发现,在默认模式网络中,活动从后扣带回皮层转移到前额叶皮层,而在背侧注意网络中,活动则从前额叶眼区转移到顶叶皮层。两个网络之间的双向通信通过它们最早的组成部分发生(即从默认模式网络的后扣带回皮层到背侧注意网络的前额叶眼区)。这种网络通信框架似乎适用于所有网络,为理解人类大脑功能提供了更广泛的基础。

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The restless brain: how intrinsic activity organizes brain function.躁动的大脑:内在活动如何构建大脑功能。
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Lag structure in resting-state fMRI.静息态 fMRI 的滞后结构。
J Neurophysiol. 2014 Jun 1;111(11):2374-91. doi: 10.1152/jn.00804.2013. Epub 2014 Mar 5.
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