节点属性的功能脑网络连接方法比较研究
发布时间：2018-09-10 09:32
【摘要】：为了比较构建功能脑网络时,不同功能连接定义方法所构建脑网络的可信度,弥补传统方法忽略网络结构特征的不足,提出了基于节点属性,通过多种网络结构属性,研究不同功能连接定义方法所构建功能脑网络差异的方法,比较功能脑网络的可靠性。实验结果说明,本方法对衡量网络连接定义之优劣非常有效。此外,实验结果还表明对于使用皮尔逊相关、偏相关与小波相关方法所构建功能脑网络边的可靠性而言,皮尔逊方法优于小波相关方法,偏相关方法略差于小波相关方法。
[Abstract]:In order to compare the reliability of the brain network constructed by different functional connection definition methods, and to make up for the deficiency of traditional methods ignoring the characteristics of network structure, this paper proposes a method based on node attributes, which is based on a variety of network structure attributes. To compare the reliability of functional brain networks (FBNs), the differences between functional brain networks (FNs) constructed by different functional connectivity definitions (FCCs) were studied. The experimental results show that this method is very effective to measure the advantages and disadvantages of network connection definition. In addition, the experimental results also show that the Pearson method is superior to the wavelet correlation method in terms of the reliability of the functional brain network edge constructed by the wavelet correlation method, and the partial correlation method is slightly inferior to the wavelet correlation method.
【作者单位】： 太原理工大学计算机科学与技术学院;
【基金】：国家自然科学基金(61373101,61472270,61402318) 教育部高等学校博士学科点专项科研基金(20131402110006) 太原理工大学青年基金(2012L014,2013T047)资助
【分类号】：O157.5;R318
本文编号：2234060
[Abstract]:In order to compare the reliability of the brain network constructed by different functional connection definition methods, and to make up for the deficiency of traditional methods ignoring the characteristics of network structure, this paper proposes a method based on node attributes, which is based on a variety of network structure attributes. To compare the reliability of functional brain networks (FBNs), the differences between functional brain networks (FNs) constructed by different functional connectivity definitions (FCCs) were studied. The experimental results show that this method is very effective to measure the advantages and disadvantages of network connection definition. In addition, the experimental results also show that the Pearson method is superior to the wavelet correlation method in terms of the reliability of the functional brain network edge constructed by the wavelet correlation method, and the partial correlation method is slightly inferior to the wavelet correlation method.
【作者单位】： 太原理工大学计算机科学与技术学院;
【基金】：国家自然科学基金(61373101,61472270,61402318) 教育部高等学校博士学科点专项科研基金(20131402110006) 太原理工大学青年基金(2012L014,2013T047)资助
【分类号】：O157.5;R318
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1 黄京;郭水霞;;基于医学影像数据的大脑功能连接方法研究[J];应用概率统计;2014年02期
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