Multimodal integration of EEG, MEG and fMRI data for the solution of the neuroimage puzzle
Multimodal integration of EEG, MEG and fMRI data for the solution of the neuroimage puzzle
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DOI：
10.1016/j.mri.2004.10.007
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发表时间：
2004-12-01
影响因子：
2.5
通讯作者：
Cincotti, F
中科院分区：
文献类型：
--
作者：
Babiloni, F;Mattia, D;Cincotti, F
本文介绍了利用高分辨率脑电图（EEG）、脑磁图（MEG）和功能磁共振成像（fMRI）数据对人类皮层活动进行建模的先进方法。这些方法包括由磁共振图像构建的受试者多室头部模型（头皮、颅骨、硬脑膜、皮层）、多偶极子源模型和皮质电流密度的正则线性逆源估计。通过使用块设计（激活体素强度）功能磁共振成像（fMRI）显示的皮质区域血流动力学响应信息，确定线性逆问题解决的先验性。在运动相关的高分辨率脑电图数据中，应用这些方法估计感兴趣区域（ROI）中随时间变化的皮质电流密度活动。(C) 2004爱思唯尔公司版权所有。
In this paper, advanced methods for the modeling of human cortical activity from combined high-resolution electroencephalography (EEG), magnetoencephalography (MEG) and functional magnetic resonance imaging (fMRI) data are presented. These methods include a subject's multicompartment head model (scalp, skull, dura mater, cortex) constructed from magnetic resonance images, multidipole source model and regulafized linear inverse source estimates of cortical current density. Determination of the priors in the resolution of the linear inverse problem was per-formed with the use of information from the hemodynamic responses of the cortical areas as revealed by block-designed (strength of activated voxels) fMRI. Examples of the application of these methods to the estimation of the time varying cortical current density activity in selected region of interest (ROI) are presented for movement-related high-resolution EEG data. (C) 2004 Elsevier Inc. All rights reserved.