A symmetric multivariate leakage correction for MEG connectomes.
A symmetric multivariate leakage correction for MEG connectomes.
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DOI：
10.1016/j.neuroimage.2015.03.071
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发表时间：
2015-08-15
期刊：
影响因子：
5.7
通讯作者：
Woolrich MW
中科院分区：
文献类型：
--
作者：
Colclough GL;Brookes MJ;Smith SM;Woolrich MW
脑磁图（MEG）测量的源重建中的模糊性可能导致估计的源时间过程之间的虚假相关性。在本文中，我们提出了一种对称正交化方法来纠正一组多个感兴趣区域（roi）之间的这些人为相关性。这个过程可以直接应用网络建模方法，包括部分相关或多元自回归建模，从修正的roi中推断连接体或功能网络。在这里，我们将校正应用于简单网络的模拟MEG记录和从8个受试者中收集的静息状态数据集，然后计算校正后的ROItime-courses的功率包络之间的部分相关性。我们展示了模拟网络的精确重建，在分析真实的megrestingstate连接时，我们发现运动和视觉网络中存在密集的双边连接，以及更远距离的直接额顶叶连接。MEG中多变量网络分析中源泄漏的消除方法。使用roi之间的正则化偏相关性执行网络推理。使用对称正交化步骤去除人工相关性。仿真结果表明，该方法具有准确的网络边缘检测假阳性率。静息状态网络显示校正后的双侧连通性增强。
Ambiguities in the source reconstruction of magnetoencephalographic (MEG) measurements can cause spurious correlations between estimated source time-courses. In this paper, we propose a symmetric orthogonalisation method to correct for these artificial correlations between a set of multiple regions of interest (ROIs). This process enables the straightforward application of network modelling methods, including partial correlation or multivariate autoregressive modelling, to infer connectomes, or functional networks, from the corrected ROIs. Here, we apply the correction to simulated MEG recordings of simple networks and to a resting-state dataset collected from eight subjects, before computing the partial correlations between power envelopes of the corrected ROItime-courses. We show accurate reconstruction of our simulated networks, and in the analysis of real MEGresting-state connectivity, we find dense bilateral connections within the motor and visual networks, together with longer-range direct fronto-parietal connections. A method for removing source leakage from multivariate network analyses in MEG. Network inference performed using regularised partial correlations between ROIs. Artificial correlations are removed using a symmetric orthogonalisation step. Simulations show accurate false-positive rates for network edge detection. Resting-state networks show increased bilateral connectivity after correction.