Modelling and detecting deep brain activity with MEG and EEG
Modelling and detecting deep brain activity with MEG and EEG
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DOI：
10.1016/j.irbm.2009.01.005
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发表时间：
2009-06-01
期刊：
影响因子：
4.8
通讯作者：
Baillet, S.
中科院分区：
文献类型：
--
作者：
Attal, Y.;Bhattacharjee, M.;Baillet, S.
我们介绍了一个脑深部结构的解剖和电生理模型，专门用于脑磁图(MEG)和脑电(EEG)源成像。到目前为止，大多数成像逆模型认为MEG/EEG表面信号主要由皮质神经电流产生，因此是浅层神经电流。在这里，我们质疑关键的脑深部结构，如基底节和海马体，是否也有助于远距离的头皮脑磁图和脑电测量。我们首先设计了这些结构的真实解剖和电生理模型，然后进行蒙特卡洛实验来评估脑磁图和脑电对来自更深层次来源的信号的敏感性。结果表明，脑磁图/脑电确实可能定位这些更深层次的发生器，这一点从报道阿尔法(10-12赫兹)脑波调制的实验脑磁图数据中得到证实。(C)2009年爱思唯尔·马森公司。版权所有。
We introduce an anatomical and electrophysiological model of deep brain structures dedicated to magnetoencephalography (MEG) and electroencephalography (EEG) source imaging. So far, most imaging inverse models considered that MEG/EEG surface signals were predominantly produced by cortical, hence superficial, neural currents. Here we question whether crucial deep brain structures such as the basal ganglia and the hippocampus may also contribute to distant, scalp MEG and EEG measurements. We first design a realistic anatomical and electrophysiological model of these structures and subsequently run Monte-Carlo experiments to evaluate the respective sensitivity of the MEG and EEG to signals from deeper origins. Results indicate that MEG/EEG may indeed localize these deeper generators, which is confirmed here from experimental MEG data reporting on the modulation of alpha (10-12 Hz) brain waves. (C) 2009 Elsevier Masson SAS. All rights reserved.