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EEG/fMRI融合分析综述:脑模型、算法和应用 被引量:5

A Survey of the EEG/fMRI Fusion Analysis:Head Models,Methods and Applications
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摘要 采用EEG/fMRI多模态融合方法研究脑神经活动信息,确定激活源位置,进行各脑区间连接分析的方法是目前认知科学和神经科学领域的热点。经过十多年努力,EEG/fMRI融合方法在脑模型的构造、多模态数据融合算法等方面取得很大进展,并在脑功能成像分析领域得到广泛应用。为了能了解EEG/fMRI多模态融合方法的最新发展,本文总结了近十年来该方法的主要进展,分别对融合算法中采用的脑模型和典型融合算法进行了分析和比较,介绍了EEG/fMRI融合方法在脑功能成像分析领域的具体应用,提出了当前研究面临的一些具体问题以及未来的研究方向。 It is a newly arising hotspot in neurophysiology and cognitive psychology for solving neuro-activity localization and connectivity through multimodal information fusion such as EEG/fMRL During the last decade, great improvements have taken phce in the construction of head models, fusion methods and the applications in particular brain functions. In this paper, first of all, some commonly used head models are introduced, and then several representative fusion methods are analyzed, and the application of these fusion methods in the particular functions of the brain is discussed. In the end, some difficulties and the future direction are illustrated.
出处 《计算机工程与科学》 CSCD 2007年第12期74-81,共8页 Computer Engineering & Science
基金 国家973计划资助项目(2003CB716104) 国家杰出青年科学基金资助项目(60225015) 国家自然科学基金资助项目(60575044)
关键词 脑模型 引导场矩阵 融合方法 head raodd lead field matrix fusion methods
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