A wavelet-based method for measuring the oscillatory dynamics of resting-state functional connectivity in MEG.
A wavelet-based method for measuring the oscillatory dynamics of resting-state functional connectivity in MEG.
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DOI：
10.1016/j.neuroimage.2011.01.046
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发表时间：
2011-05-01
期刊：
影响因子：
5.7
通讯作者：
Martin, Alex
中科院分区：
文献类型：
--
作者：
Ghuman, Avniel Singh;McDaniel, Jonathan R.;Martin, Alex
关键词：
确定功能连接的动态对于理解大脑至关重要。最近的功能磁共振成像（fMRI）研究表明，测量静息状态活动中大脑区域之间的相关性可用于揭示内在神经网络。为了研究区域之间内在功能连接的振荡动力学，需要对脑电生理活动进行高时间分辨率测量，例如脑磁图 (MEG)。然而，对于检查静息状态 MEG 数据连通性的最佳方法缺乏共识。在这里，我们采用了一种基于小波的方法来测量神经振荡频率的锁相。该方法采用解剖 MRI 信息与 MEG 数据相结合，使用最小范数估计逆解，以任何和所有感兴趣的频率生成从“种子”区域到皮质表面上所有其他位置的功能连接图。我们通过模拟皮质表面不同点的锁相振荡来测试这种方法，这说明了逆解中的缺陷导致的大量伪影。我们证明，使用锁相值计算机对空房间数据标准化静息态 MEG 数据可以减少这种伪影的大部分影响。然后，我们对八名受试者使用这种方法，以揭示安静环境中阿尔法频段听觉网络的内在半球间连接。这种光谱静息态功能连接成像方法可以让我们更好地理解人脑内在功能连接的振荡动力学。
Determining the dynamics of functional connectivity is critical for understanding the brain. Recent functional magnetic resonance imaging (fMRI) studies demonstrate that measuring correlations between brain regions in resting state activity can be used to reveal intrinsic neural networks. To study the oscillatory dynamics that underlie intrinsic functional connectivity between regions requires high temporal resolution measures of electrophysiological brain activity, such as magnetoencephalography (MEG). However, there is a lack of consensus as to the best method for examining connectivity in resting state MEG data. Here we adapted a wavelet-based method for measuring phase-locking with respect to the frequency of neural oscillations. This method employs anatomical MRI information combined with MEG data using the minimum norm estimate inverse solution to produce functional connectivity maps from a “seed” region to all other locations on the cortical surface at any and all frequencies of interest. We test this method by simulating phase-locked oscillations at various points on the cortical surface, which illustrates a substantial artifact that results from imperfections in the inverse solution. We demonstrate that normalizing resting state MEG data using phase-locking values computer on empty room data reduces much of the effects of this artifact. We then use this method with eight subjects to reveal intrinsic interhemispheric connectivity in the auditory network in the alpha frequency band in a silent environment. This spectral resting-state functional connectivity imaging method may allow us to better understand the oscillatory dynamics underlying intrinsic functional connectivity in the human brain.
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影响因子：
5.7
作者：
FRISTON, KJ;HOLMES, AP;TURNER, R
通讯作者：
TURNER, R
影响因子：
5.7
作者：
Liu, Zhongming;Fukunaga, Masaki;de Zwart, Jacco A.;Duyn, Jeff H.
通讯作者：
Duyn, Jeff H.
DOI：
10.1073/pnas.0807010105
发表时间：
2008-10-14
影响因子：
11.1
作者：
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通讯作者：
Raichle, Marcus E.
影响因子：
44.1
作者：
HAMALAINEN, M;HARI, R;LOUNASMAA, OV
通讯作者：
LOUNASMAA, OV
影响因子：
4.8
作者：
Greicius, Michael
通讯作者：
Greicius, Michael