关于DPARSF V2.3的degree centrality的统计方法

Submitted by fengyuanc on

严老师:

      您好!近日我使用了DPARSF V2.3进行了degree centrality的数据处理,得到了一批结果,但困扰我的是我应该对哪些数据进行统计学分析。

     如果没错的话,按照之前的经验,好像应该是用“z文件名”的数据进行处理。但是另外一个问题出现了,即不知道加权结果是以什么为加权条件进行计算的,肯请您予以说明!

    感谢您的回复!

YAN Chao-Gan

Tue, 10/15/2013 - 14:00

Hi Feng,

 
Binarized degree centrality (DC) is the sum of number of connections after thresholding;
Weighted DC is the sum of r values after thresholding.
Please see details in Zuo, X.N., Ehmke, R., Mennes, M., Imperati, D., Castellanos, F.X., Sporns, O., Milham, M.P., 2012. Network Centrality in the Human Functional Connectome. Cereb Cortex 22, 1862-1875.
 
It's said the binarized DC could be more stable.
 
Z-maps are the DC values after Z-standardization, you can use them at the current stage. 
 
Other standardizations exist, e.g., Yan, C.G., Craddock, R.C., Zuo, X.N., Zang, Y.F., Milham, M.P., 2013. Standardizing the intrinsic brain: towards robust measurement of inter-individual variation in 1000 functional connectomes. Neuroimage 80, 246-262. I will make a toolbox of these standardizations, probably release it this December.
 
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