Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms.
Non-invasive laminar inference with MEG: Comparison of methods and source inversion algorithms.
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DOI：
10.1016/j.neuroimage.2017.11.068
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发表时间：
2018-02-15
期刊：
影响因子：
5.7
通讯作者：
Barnes GR
中科院分区：
文献类型：
--
作者：
Bonaiuto JJ;Rossiter HE;Meyer SS;Adams N;Little S;Callaghan MF;Dick F;Bestmann S;Barnes GR
脑磁图(MEG)是对神经元电流流动的直接测量；因此，其解剖分辨率不受生理学的限制，而是受数据质量和用于解释这些数据的模型的限制。最近的模拟工作表明，如果关于脑磁图传感器的这些表面的准确知识，有可能区分来自皮质深层和表层的信号。这项先前的工作主要集中在单一的反演方案(多稀疏先验)和单一的全局参数拟合度量(自由能量)。在本文中，我们使用了几种不同的震源反演算法，包括局部和全局的，以及参数和非参数的拟合度量，以演示层之间区分的稳健性。我们发现，只有具有一定稀疏性约束的算法才能成功地进行层流判别。重要的是，局部t统计量、全球交叉验证和自由能都提供了稳健且相互印证的拟合指标。我们表明，区分精度受斑块大小估计、皮质表面特征和铅场强的影响，这暗示了这项技术未来可能的几个改进。这项研究证明了确定脑磁图传感器活动的层流起源的可能性，从而直接测试涉及层流和频率特定机制的人类认知理论。这种可能性现在可以利用高精度脑磁图的最新发展来实现，最显著的是使用特定于受试者的头部模型，这使得数据质量显著提高，因此在解剖上精确的脑磁图记录。分析方法。震源定位：反问题；震源定位：其他。可以使用局部和全局匹配度量对脑磁图进行层状推断。稀疏约束下的震源反演算法表现最好。分类受到斑块大小估计、解剖结构和铅场强度的影响。
Magnetoencephalography (MEG) is a direct measure of neuronal current flow; its anatomical resolution is therefore not constrained by physiology but rather by data quality and the models used to explain these data. Recent simulation work has shown that it is possible to distinguish between signals arising in the deep and superficial cortical laminae given accurate knowledge of these surfaces with respect to the MEG sensors. This previous work has focused around a single inversion scheme (multiple sparse priors) and a single global parametric fit metric (free energy). In this paper we use several different source inversion algorithms and both local and global, as well as parametric and non-parametric fit metrics in order to demonstrate the robustness of the discrimination between layers. We find that only algorithms with some sparsity constraint can successfully be used to make laminar discrimination. Importantly, local t-statistics, global cross-validation and free energy all provide robust and mutually corroborating metrics of fit. We show that discrimination accuracy is affected by patch size estimates, cortical surface features, and lead field strength, which suggests several possible future improvements to this technique. This study demonstrates the possibility of determining the laminar origin of MEG sensor activity, and thus directly testing theories of human cognition that involve laminar- and frequency-specific mechanisms. This possibility can now be achieved using recent developments in high precision MEG, most notably the use of subject-specific head-casts, which allow for significant increases in data quality and therefore anatomically precise MEG recordings. Analysis methods. Source localization: inverse problem; Source localization: other. Laminar inferences can be made with MEG using both local and global fit metrics. Source inversion algorithms with sparsity constraints performed best. Classification is affected by patch size estimates, anatomy, and lead field strength.
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影响因子：
16.2
作者：
Fries P
通讯作者：
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影响因子：
16.2
作者：
Bastos AM;Usrey WM;Adams RA;Mangun GR;Fries P;Friston KJ
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DOI：
10.1073/pnas.1011284108
发表时间：
2011-07-05
影响因子：
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作者：
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通讯作者：
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作者：
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影响因子：
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作者：
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