Frequency domain connectivity identification: An application of partial directed coherence in fMRI
Frequency domain connectivity identification: An application of partial directed coherence in fMRI
复制标题
DOI：
10.1002/hbm.20513
复制
发表时间：
2009-02
影响因子：
4.8
通讯作者：
J. Sato;D. Takahashi;S. Arcuri;K. Sameshima;P. Morettin;L. Baccalá
中科院分区：
文献类型：
--
作者：
J. Sato;D. Takahashi;S. Arcuri;K. Sameshima;P. Morettin;L. Baccalá
功能磁共振成像（fMRI）由于其无创性和高空间分辨率的特性，已成为神经科学的重要工具，与其他方法如PET或EEG相比。神经连接的表征一直是一些认知研究的目标，因为皮层区域之间的相互作用是许多脑功能障碍和精神障碍的核心。已经提出了几种方法，如相关分析，结构方程模型和动态因果模型来量化连接强度。与连通性建模相关的一个重要概念是格兰杰因果关系，它是衡量时间序列之间方向依赖性的最流行的定义之一。在这篇文章中，我们提出的应用程序的部分定向相干（PDC）的连接性分析的多学科功能磁共振成像数据使用多元自助。PDC是格兰杰因果关系的频域对应，已成为EEG研究中非常重要的工具。所实现的连接性的频率分解在将来自神经模块的相互作用与源自扫描仪噪声、呼吸和心跳的相互作用分离方面是有用的。执行语言处理协议的六个受试者的真实的fMRI数据集用于连接性的分析。《大脑地图》，2009年。© 2007 Wiley利斯公司
Functional magnetic resonance imaging (fMRI) has become an important tool in Neuroscience due to its noninvasive and high spatial resolution properties compared to other methods like PET or EEG. Characterization of the neural connectivity has been the aim of several cognitive researches, as the interactions among cortical areas lie at the heart of many brain dysfunctions and mental disorders. Several methods like correlation analysis, structural equation modeling, and dynamic causal models have been proposed to quantify connectivity strength. An important concept related to connectivity modeling is Granger causality, which is one of the most popular definitions for the measure of directional dependence between time series. In this article, we propose the application of the partial directed coherence (PDC) for the connectivity analysis of multisubject fMRI data using multivariate bootstrap. PDC is a frequency domain counterpart of Granger causality and has become a very prominent tool in EEG studies. The achieved frequency decomposition of connectivity is useful in separating interactions from neural modules from those originating in scanner noise, breath, and heart beating. Real fMRI dataset of six subjects executing a language processing protocol was used for the analysis of connectivity. Hum Brain Mapp, 2009. © 2007 Wiley‐Liss, Inc.