首页> 外文会议>IEEE International Conference on Bioinformatics and Bioengineering >Brain Structural and Functional Representation based on the Local Global Graph Methodology
【24h】

Brain Structural and Functional Representation based on the Local Global Graph Methodology

机译:基于局部全球图方法的脑结构和功能表示

获取原文

摘要

This paper presents a novel graph-based methodology for development of structural and functional brain graphs. Using data from non-invasive neuroimaging modalities, such as MRI, fMRI and EEG, graphs that represent the brain architecture and functionality, are generated. Graph theorybased analysis has been applied with great success for studying the brain's connectivity, organization and dynamics. Towards this direction the presented Local Global (LG) graph methodology combines the local-regional information to compose a global topological representation.
机译:本文提出了一种基于图形的基于图形的方法,用于开发结构和功能性脑图。使用来自非侵入性神经影像模拟的数据,例如MRI,FMRI和EEG,表示代表大脑架构和功能的图形。图表理论基于研究的分析已经取得了巨大的成功,用于研究大脑的连通性,组织和动态。朝向这个方向呈现所呈现的本地全局(LG)图方法结合了本地区域信息来组成全球拓扑表现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号