The localization of spontaneous brain activity: first results in patients with cerebral tumors
The localization of spontaneous brain activity: first results in patients with cerebral tumors
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DOI：
10.1016/s1388-2457(00)00526-5
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发表时间：
2001-02-01
影响因子：
4.7
通讯作者：
van Dijk, BW
中科院分区：
文献类型：
--
作者：
de Jongh, A;de Munck, JC;van Dijk, BW
目的：从脑电图研究得知，脑结构性病变伴有节律性电活动异常。由于MEG具有更好的空间分辨率，MEG偶极子分析可以扩展基于EEG功率谱的知识。本研究提出了应用于自发脑磁图的全自动分析方法的第一个结果，方法：使用全头脑磁图系统收集 5 名脑脑肿瘤患者和 4 名对照者的自发脑磁图数据。根据标准 EEG 频带，对信号进行带通滤波，并使用截止频率。移动偶极子模型适用于至少两倍于平均样本功率的样本。解释 90% 或更多磁方差的偶极子被投影到匹配的 MR 扫描上。结果：在对照中，偶极子分布相对于中矢状面对称，而患者中的分布通常与之不对称。描述 γ 活动的偶极子位于病变的对侧，描述 δ 和 θ 活动的偶极子位于病变的同侧。 结论：自动方法给出了有关病变灶的异常慢波和其他节律的发生器灶的合理 3 维信息，从而为从 EEG 功率谱得出的知识添加了生理知识。 (C) 2001 Elsevier Science Ireland Ltd. 保留所有权利。
Objective: From EEG studies, it is known that structural brain lesions are accompanied by abnormal rhythmic electric activity. With the better spatial resolution of MEG, MEG dipole analysis can extend the knowledge based on EEG power spectra. This study presents the first results of a completely automatic analysis method applied to spontaneous MEG,Methods: Spontaneous MEG data of 5 patients with cerebral brain tumors and 4 controls were collected using a whole-head MEG system. Signals were bandpass-filtered with cut-off frequencies according to standard EEG bands. A moving dipole model was fitted to samples with at least twice the average sample power. Dipoles explaining 90% or more of the magnetic variance were projected onto a matched MR scan.Results: In controls, dipole distributions are symmetrical with respect to the mid-sagittal plane whereas distributions in patients often are asymmetrical to it. Dipoles describing gamma activity were located contralateral, and dipoles describing delta and theta activity were located ipsilateral to lesions.Conclusions: The automatic method gives plausible 3-dimensional information about generator foci of abnormal slow waves and other rhythms with respect to lesion foci and thereby adds physiological knowledge to that derived from EEG power spectra. (C) 2001 Elsevier Science Ireland Ltd. All rights reserved.