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运动任务中皮质网络中的节点可达性。

Node accessibility in cortical networks during motor tasks.

机构信息

CNRS UMR-7225, Hôpital de la Salpêtrière, Paris, France.

出版信息

Neuroinformatics. 2013 Jul;11(3):355-66. doi: 10.1007/s12021-013-9185-2.

DOI:10.1007/s12021-013-9185-2
PMID:23712897
Abstract

Recent findings suggest that the preparation and execution of voluntary self-paced movements are accompanied by the coordination of the oscillatory activities of distributed brain regions. Here, we use electroencephalographic source imaging methods to estimate the cortical movement-related oscillatory activity during finger extension movements. Then, we apply network theory to investigate changes (expressed as differences from the baseline) in the connectivity structure of cortical networks related to the preparation and execution of the movement. We compute the topological accessibility of different cortical areas, measuring how well an area can be reached by the rest of the network. Analysis of cortical networks reveals specific agglomerates of cortical sources that become less accessible during the preparation and the execution of the finger movements. The observed changes neither could be explained by other measures based on geodesics or on multiple paths, nor by power changes in the cortical oscillations.

摘要

最近的研究结果表明,自愿自主运动的准备和执行伴随着分布式脑区的振荡活动的协调。在这里,我们使用脑电图源成像方法来估计手指伸展运动期间皮质运动相关的振荡活动。然后,我们应用网络理论来研究与运动准备和执行相关的皮质网络连接结构的变化(表示为与基线的差异)。我们计算了不同皮质区域的拓扑可达性,衡量一个区域可以被网络的其余部分到达的程度。皮质网络的分析揭示了特定的皮质源聚集,在手指运动的准备和执行过程中变得难以到达。观察到的变化既不能用基于测地线或多条路径的其他度量来解释,也不能用皮质振荡中的功率变化来解释。

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本文引用的文献

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Improved Localizadon of Cortical Activity by Combining EEG and MEG with MRI Cortical Surface Reconstruction: A Linear Approach.通过将 EEG 和 MEG 与 MRI 皮质表面重建相结合来提高皮质活动的本地化:一种线性方法。
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How the statistical validation of functional connectivity patterns can prevent erroneous definition of small-world properties of a brain connectivity network.
如何通过功能连接模式的统计验证来防止错误定义脑连接网络的小世界属性。
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Functional properties of human primary motor cortex gamma oscillations.人类初级运动皮层γ振荡的功能特性。
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