• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2007, Vol. 29 ›› Issue (12): 74-81.

• 论文 • 上一篇    下一篇

EEG/fMRI融合分析综述:脑模型、算法和应用

何继军 沈辉 胡德文   

  • 出版日期:2007-12-01 发布日期:2010-05-30

  • Online:2007-12-01 Published:2010-05-30

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。

关键词: 脑模型 引导场矩阵 融合方法

Abstract:

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 th e 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 diffi culties and the future direction are illustrated.

Key words: head raodd;lead field matrix;fusion methods