On the issue of low-frequency EEG generators and methods of their spatial localization

IF 2.3 4区医学 Q2 BIOCHEMICAL RESEARCH METHODS

Journal of Neuroscience Methods Pub Date : 2025-09-29 DOI:10.1016/j.jneumeth.2025.110592

A.V. Vartanov , E.L. Masherov

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引用次数: 0

Abstract

Background

The article reviews the theoretical foundations of low-frequency EEG generation and the problems of existing methods and algorithms for localizing low-frequency EEG

New method

A new method based on spatial filtering for signal recovery from a specific, pre-set point in space (area of interest) is presented. The algorithm uses the dynamics and correlation of signals in EEG leads with the addition of artificially generated data. The method assumes a volume charge (unipole) as a source and a function of linear potential decay from values inverse to the distance from a given point to scalp electrodes.

Results

It is shown that the dipole model based on the summation of postsynaptic potentials cannot adequately describe the low-frequency component of the EEG; arguments are given in favor of the unipolar model based on the summation of trace potentials.

Comparison with existing method

Based on deep brain stimulation data, the new method was verified and its effectiveness was compared with some existing algorithms (sLORETA, dSPM, etc., included in the Brainstorm package).

Conclusions

As a result, it is shown that the new "Virtually implanted electrode" method makes it possible to accurately determine the localization of unipolar current sources. At the same time, it is shown that other methods based on the dipole model gave false solutions. In this regard, it is necessary to revise the results of localization of the low-frequency component of the EEG previously obtained using these tools, especially when evaluating functional relationships based on these data.

查看原文本刊更多论文

低频脑电信号发生器及其空间定位方法研究。

背景：本文综述了低频脑电图生成的理论基础以及现有低频脑电图定位方法和算法存在的问题。新方法：提出了一种基于空间滤波的新方法，用于从空间（感兴趣区域）的特定预设点恢复信号。该算法利用脑电图导联信号的动态和相关性，并添加人工生成的数据。该方法假设一个体积电荷（单极子）作为源，并且是一个线性电位衰减的函数，其衰减值与给定点到头皮电极的距离成反比。结果：基于突触后电位求和的偶极子模型不能很好地描述脑电的低频成分；给出了基于痕量电位求和的单极模型的支持论点。与现有方法的比较：基于脑深部刺激数据，对新方法进行验证，并与现有算法（Brainstorm软件包中包含的sLORETA、dSPM等）进行有效性比较。结论：结果表明，新的“虚拟植入电极”方法可以准确地确定单极电流源的定位。同时也证明了基于偶极子模型的其他方法给出的解是错误的。在这方面，有必要修改之前使用这些工具获得的脑电图低频成分定位结果，特别是在评估基于这些数据的功能关系时。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Neuroscience Methods 医学-神经科学

CiteScore

7.10

自引率

3.30%

发文量

226

审稿时长

52 days

期刊介绍： The Journal of Neuroscience Methods publishes papers that describe new methods that are specifically for neuroscience research conducted in invertebrates, vertebrates or in man. Major methodological improvements or important refinements of established neuroscience methods are also considered for publication. The Journal''s Scope includes all aspects of contemporary neuroscience research, including anatomical, behavioural, biochemical, cellular, computational, molecular, invasive and non-invasive imaging, optogenetic, and physiological research investigations.