|本期目录/Table of Contents|

[1]杨宇轩,薛莉,陶玲△,等.复杂度算法在脑功能影像处理中的应用*[J].生物医学工程研究,2018,02:168-172.
 YANG Yuxuan,XUE Li,TAO Ling,et al.The application of complexity algorithm to brain function image[J].Journal of Biomedical Engineering Research,2018,02:168-172.
点击复制

复杂度算法在脑功能影像处理中的应用*(PDF)

《生物医学工程研究》[ISSN:1006-6977/CN:61-1281/TN]

期数:
2018年02期
页码:
168-172
栏目:
出版日期:
2018-06-25

文章信息/Info

Title:
The application of complexity algorithm to brain function image
文章编号:
1672-6278 (2018)02-0168-05
作者:
杨宇轩薛莉陶玲△钱志余郁芸
南京航空航天大学自动化学院,南京 211106
Author(s):
YANG Yuxuan XUE LiTAO Ling QIAN Zhiyu YU Yun
College of Automation Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 211106,China
关键词:
fMRI复杂度局部一致性样本熵赫斯特指数
Keywords:
fMRI Complexity Regional homogeneity Sample entropy Hearst index
分类号:
R318
DOI:
10.19529/j.cnki.1672-6278.2018.02.10
文献标识码:
A
摘要:
本研究拟采用复杂度分析方法对大脑的功能信息进行提取和分析。该文基于复杂度分析方法对正常人大脑fMRI影像的功能信息进行提取和分析,并和现有的常用分析方法进行对比分析。首先基于样本熵和赫斯特指数计算,验证复杂度分析在大脑功能活动特性度量上的有效性;然后分别采用局部一致性方法和复杂度算法计算大脑静息态激活脑区,对二者结果进行对比分析;最后基于复杂度算法在全脑和静息态默认网络做男女功能认知差异分析。样本熵和赫斯特指数存在显著的负相关,认为样本熵可以表征大脑神经功能活动的变化特性;复杂度分析方法和局部一致性方法所提取出的大脑激活区基本一致;在默认网络上基于复杂度分析发现两性功能认知存在明显的性别差异,结果与相关文献结果基本一致。复杂度分析方法可以应用于脑功能影像的处理中,对大脑神经功能活动的特性进行分析。
Abstract:
To use the complexity analysis to extract and analyze the functional information of the brain. The complexity analysis was used to extract and analyze the function information of normal human brain fMRI images, and was compared with the common analysis methods. First, based on the sample entropy and the Hearst exponential calculation, complexity analysis was validated in the measure of the functional activity of the brain. Then regional homogeneity method and complexity algorithm were used to calculate the brain activity in resting state,and the results were compared and analyzed. Finally, the cognitive differences for the whole brain and default network between men and women were analyzed based on complexity algorithm.There was a significant negative correlation between the sample entropy and the Hurst index, it was believed that the sample entropy could represent the change of brain neural function activity. The brain activation areas extracted by complexity algorithm and regional homogeneity method tended to be consistent. There were obvious gender differences for functional cognition in default network based on complexity analysis, which was consistent with the results of the related literature. The complexity analysis can be applied to the processing of brain function, and analyze the characteristics of brain neural function.

参考文献/References

-

备注/Memo

备注/Memo:
(收稿日期:2017-10-20)南京航空航天大学研究生创新基地(实验室)开放基金资助项目(kfjj20170324)。△通信作者Email:taoling@nuaa.edu.cn
更新日期/Last Update: 2018-07-23