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首页> 外文期刊>Journal of Neuroscience Methods >Approximate average head models for EEG source imaging.
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Approximate average head models for EEG source imaging.

机译：脑电图源成像的近似平均头部模型。

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摘要

We examine the performance of approximate models (AM) of the head in solving the EEG inverse problem. The AM are needed when the individual's MRI is not available. We simulate the electric potential distribution generated by cortical sources for a large sample of 305 subjects, and solve the inverse problem with AM. Statistical comparisons are carried out with the distribution of the localization errors. We propose several new AM. These are the average of many individual realistic MRI-based models, such as surface-based models or lead fields. We demonstrate that the lead fields of the AM should be calculated considering source moments not constrained to be normal to the cortex. We also show that the imperfect anatomical correspondence between all cortices is the most important cause of localization errors. Our average models perform better than a random individual model or the usual average model in the MNI space. We also show that a classification based on race and gender or head size before averaging does not significantly improve the results. Our average models are slightly better than an existing AM with shape guided by measured individual electrode positions, and have the advantage of not requiring such measurements. Among the studied models, the Average Lead Field seems the most convenient tool in large and systematical clinical and research studies demanding EEG source localization, when MRI are unavailable. This AM does not need a strict alignment between head models, and can therefore be easily achieved for any type of head modeling approach.
机译：我们研究了解决脑电逆问题的头部近似模型（AM）的性能。无法使用个人MRI时需要AM。我们针对305个对象的大量样本模拟了皮质源产生的电势分布，并解决了AM的逆问题。通过定位误差的分布进行统计比较。我们提出了几个新的AM。这些是许多基于MRI的现实模型的平均值，例如基于表面的模型或导程。我们证明，应该考虑不限制于垂直于皮层的源矩来计算AM的前场。我们还表明，所有皮层之间不完善的解剖学对应关系是定位错误的最重要原因。我们的平均模型在MNI空间中的表现要优于随机个体模型或通常的平均模型。我们还显示，在平均之前基于种族和性别或头部大小进行的分类不会显着改善结果。我们的平均模型比通过测量单个电极位置引导形状的现有AM略好，并且具有不需要进行此类测量的优势。在研究的模型中，当无法使用MRI时，平均铅场似乎是要求脑电信号源定位的大型且系统的临床和研究研究中最方便的工具。该AM不需要在头部模型之间进行严格的对齐，因此对于任何类型的头部建模方法都可以轻松实现。

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