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二维支持电流的脑电图。

EEG for Current With Two-Dimensional Support.

出版信息

IEEE Trans Biomed Eng. 2018 Sep;65(9):2101-2108. doi: 10.1109/TBME.2017.2785342. Epub 2017 Dec 20.

Abstract

OBJECTIVE

The inverse problem of computing the neuronal current density from scalp EEG is highly ill-posed. In part, this is due to the nonuniqueness of the mapping between current sources and scalp potentials. We develop an explicit formula for the scalp EEG for sources constrained to the cortical surface in terms only of the components of the current that affect the EEG signal.

METHODS

Starting from the quasi-static form of Maxwell's equations, we develop a formula that involves only the "visible" part of the current (i.e., the part of the current that affects the EEG measurements), as well as certain auxiliary functions that depend on the topology and conductivity of the 3-D domains $\Omega _c$ , $\Omega _f$, $\Omega _b$, and $\Omega _s$, which model the spaces occupied by the cerebrum, cerebrospinal fluid, bone, and scalp, respectively.

RESULTS

we derive expressions for the scalp potential for a general nested topology, as well as for the special case of spherical and ellipsoidal surfaces. We verify that the resulting scalp potential, in the case that the current resides in a spherical shell in the cerebrum of thickness $2\delta$, agrees with the potential obtained via the 3-D formulation for $\delta =10^{-8}\text{m}$.

CONCLUSION

The "visible" part of the current can be explicitly characterized and consists of a combination of its component normal to the surface and of a certain function generating the remaining tangential components of the current.

SIGNIFICANCE

The resulting ability to restrict the source space greatly reduces the degree of ambiguity in the inverse solutions, offering the potential for more stable inverse solutions, since the auxiliary functions that define the mapping can be computed efficiently using standard numerical methods.

摘要

目的

从头皮 EEG 计算神经元电流密度的逆问题是高度不适定的。部分原因是电流源和头皮电位之间的映射具有非唯一性。我们开发了一种仅基于影响 EEG 信号的电流分量的公式,用于将源约束在皮质表面上的头皮 EEG。

方法

从麦克斯韦方程的准静态形式出发,我们开发了一个仅涉及“可见”电流部分(即影响 EEG 测量的电流部分)的公式,以及某些辅助函数,这些辅助函数取决于 3-D 域$\Omega _c$、$\Omega _f$、$\Omega _b$和$\Omega _s$的拓扑和电导率,分别模拟大脑、脑脊液、骨骼和头皮所占据的空间。

结果

我们推导出了一般嵌套拓扑的头皮电位表达式,以及球形和椭圆形表面的特殊情况的表达式。我们验证了,对于大脑中的球形壳内的电流,在厚度为$2\delta$的情况下,所得头皮电位与通过 3-D 公式获得的电位在$\delta =10^{-8}\text{m}$的情况下一致。

结论

“可见”电流部分可以被明确地描述,并且由其垂直于表面的分量和产生电流其余切向分量的特定函数的组合构成。

意义

限制源空间的能力大大降低了逆解的模糊度程度,为更稳定的逆解提供了潜力,因为定义映射的辅助函数可以使用标准数值方法有效地计算。

相似文献

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EEG for Current With Two-Dimensional Support.二维支持电流的脑电图。
IEEE Trans Biomed Eng. 2018 Sep;65(9):2101-2108. doi: 10.1109/TBME.2017.2785342. Epub 2017 Dec 20.
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本文引用的文献

1
MNE software for processing MEG and EEG data.MEG 和 EEG 数据处理的 MNE 软件。
Neuroimage. 2014 Feb 1;86:446-60. doi: 10.1016/j.neuroimage.2013.10.027. Epub 2013 Oct 24.
3
FreeSurfer.FreeSurfer。
Neuroimage. 2012 Aug 15;62(2):774-81. doi: 10.1016/j.neuroimage.2012.01.021. Epub 2012 Jan 10.
10
Imaging the electrical activity of the brain: ELECTRA.大脑电活动成像:ELECTRA。
Hum Brain Mapp. 2000;9(1):1-12. doi: 10.1002/(sici)1097-0193(2000)9:1<1::aid-hbm1>3.0.co;2-#.

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