Neuromagnetic localization of rhythmic activity in the human brain:: a comparison of three methods
Neuromagnetic localization of rhythmic activity in the human brain:: a comparison of three methods
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DOI：
10.1016/j.neuroimage.2004.11.034
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发表时间：
2005-04-15
期刊：
影响因子：
5.7
通讯作者：
Salmelin, R
中科院分区：
文献类型：
--
作者：
Liljeström, M;Kujala, J;Salmelin, R
皮质节律活动越来越多地用于表征人类大脑功能。使用脑磁图，可以定位这些节律的发生器。传统上，源位置已使用顺序偶极子模型估计。最近，已经开发了两种新的方法来定位节律活动，相干源的动态成像（DICS）和频域最小电流估计（MCEFD）。随着新的分析方法的出现，研究者面临着选择合适的策略的问题。本研究的目的是比较这三种方法的性能和可靠性。使用来自四名健康受试者的测量数据以及节律活动的模拟进行评估。我们发现，这些方法给出了可比的结果，并且所有三种方法都很好地定位了振荡活动的主要来源。一旦选择了合适的传感器子集，偶极子建模就是一个非常强大的工具。MCEFD提供了同步本地化的来源，并发现给一个很好的概述的数据。有了DICS，就有可能将其他两种方法无法检索到的近距离源分开。(c)2005年爱思唯尔公司All rights reserved.
Cortical rhythmic activity is increasingly employed for characterizing human brain function. Using MEG, it is possible to localize the generators of these rhythms. Traditionally, the source locations have been estimated using sequential dipole modeling. Recently, two new methods for localizing rhythmic activity have been developed, Dynamic Imaging of Coherent Sources (DICS) and Frequency-Domain Minimum Current Estimation (MCEFD). With new analysis methods emerging, the researcher faces the problem of choosing an appropriate strategy. The aim of this study was to compare the performance and reliability of these three methods. The evaluation was performed using measured data from four healthy subjects, as well as with simulations of rhythmic activity. We found that the methods gave comparable results, and that all three approaches localized the principal sources of oscillatory activity very well. Dipole modeling is a very powerful tool once appropriate subsets of sensors have been selected. MCEFD provides simultaneous localization of sources and was found to give a good overview of the data. With DICS, it was possible to separate close-by sources that were not retrieved by the other two methods. (c) 2005 Elsevier Inc. All rights reserved.