易鸣分享 http://blog.sciencenet.cn/u/yiming123 对生物网络的建模和模拟以及动力学分析非常感兴趣

博文

大脑功能网络构建新进展

已有 4761 次阅读 2014-10-14 19:47 |系统分类:论文交流

MIC as an Appropriate Method to Construct the Brain Functional Network
Ziqing Zhang, Shu Sun, Ming Yi, Xia Wu, and Yiming Ding


BioMed Research International (accepted for publication)


Abstract
Using an effective method to measure the brain functional connectivity is an important step to study the brain functional network. The main methods for constructing an undirected brain functional network include correlation coefficient (CF), partial correlation coefficient (PCF), mutual information (MI), wavelet correlation coefficient (WCF), and coherence (CH). In this paper we demonstrate that the maximal information coefficient (MIC) proposed by Reshef et al is relevant to construct a brain functional network because it perform best in the comprehensive comparisons in consistency and robustness. Our work can be used to validate the possible new functional connection measures.
Key Words: MIC, brain, functional network, consistency, robustness



https://blog.sciencenet.cn/blog-396906-835656.html

上一篇:Fractional entropy decay and the third law of thermodynamics
下一篇:华中农业大学计算生物物理团队招聘应届博士生一名
收藏 IP: 114.111.167.*| 热度|

0

该博文允许注册用户评论 请点击登录 评论 (0 个评论)

数据加载中...

Archiver|手机版|科学网 ( 京ICP备07017567号-12 )

GMT+8, 2024-10-8 08:18

Powered by ScienceNet.cn

Copyright © 2007- 中国科学报社

返回顶部