Generator localization by current source density (CSD): implications of volume conduction and field closure at intracranial and scalp resolutions.

Generator localization by current source density (CSD): implications of volume conduction and field closure at intracranial and scalp resolutions.
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发电机通过电流密度(CSD)定位:颅内和头皮分辨率下体积传导和场闭合的影响。

DOI:
10.1016/j.clinph.2012.06.005
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发表时间:
2012-12
期刊:
Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology
影响因子:
--
通讯作者:
Kayser J
Kayser J
中科院分区:
其他
文献类型:
--
作者:
Tenke CE;Kayser J

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在EEG/ERP研究的整个历史中,困扰EEG/ERP研究的地形模糊性和参考依赖性在很大程度上归因于体积传导,这可以用欧姆定律的矢量形式来简洁地描述。这种生物物理关系对于通过逆解推断神经元发生器的流行算法是常见的。它可以被进一步简化为泊松源方程,其从场电位的二阶空间导数的估计(拉普拉斯变换)识别潜在的电流发生器。颅内电流源密度(CSD)研究已经将“皮质偶极子”解剖成皮质内源和汇,对应于在亚层分辨率下的神经元活动的生理上有意义的模式,其中大部分被局部抵消(即,闭场)。凭借头皮记录EEG的宏观尺度,表面拉普拉斯算子反映了这些潜在电流的径向投影,代表了头皮神经元活动的独特、明确的测量。虽然表面拉普拉斯算子需要最少的假设相比,复杂的,模型敏感的逆,所得到的波形地形忠实地总结和简化的基本约束,必须放在假定的发生器的头皮电位地形,即使它们产生于深或部分封闭的领域。CSD方法,从而提供了一个全球性的经验和生物物理的发生器定位的背景下,从皮层内头皮记录跨越尺度。
The topographic ambiguity and reference-dependency that has plagued EEG/ERP research throughout its history are largely attributable to volume conduction, which may be concisely described by a vector form of Ohm’s Law. This biophysical relationship is common to popular algorithms that infer neuronal generators via inverse solutions. It may be further simplified as Poisson’s source equation, which identifies underlying current generators from estimates of the second spatial derivative of the field potential (Laplacian transformation). Intracranial current source density (CSD) studies have dissected the “cortical dipole” into intracortical sources and sinks, corresponding to physiologically-meaningful patterns of neuronal activity at a sublaminar resolution, much of which is locally cancelled (i.e., closed field). By virtue of the macroscopic scale of the scalp-recorded EEG, a surface Laplacian reflects the radial projections of these underlying currents, representing a unique, unambiguous measure of neuronal activity at scalp. Although the surface Laplacian requires minimal assumptions compared to complex, model-sensitive inverses, the resulting waveform topographies faithfully summarize and simplify essential constraints that must be placed on putative generators of a scalp potential topography, even if they arise from deep or partially-closed fields. CSD methods thereby provide a global empirical and biophysical context for generator localization, spanning scales from intracortical to scalp recordings.
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