Dear GraphVar-users,

We found that in the GraphVar 1.0 update, the function to calculate the clustering coefficient
for binary undirected graphs was accidentally replaced with a function to calculate the number of
triangles around each node. The clustering coefficient, however, is defined as the number of triangles
around each node divided by the number of possible triangles. In other words, the values that were
returned are simply the unscaled form of the binary undirected clustering coefficient.

Hi,

Hi，

麻烦问一下，在对节点分析进行统计时，比如组间比较，我们很难像分析全脑属性一样把具不同sparcity的网络都分析一遍，因此都是取的某一个范围内网络节点属性的均值对吗？如果是的话，哪一个范围更为合适呢？或者有无研究专门探讨过这个问题的呢？非常感谢~~~

Hi All,

I just wanted to share my experience about an error I got in DPARSF in case anyone else comes across it or in case the DPARSF creators want to fix this in future versions.

I have been running DPARSF jobs and they seem to fail a portion of the time somewhere after the initiation of the BET step.

Before this step, DPARSF requires user input (in my batch at least) saying "No co* images found" or something along those lines.

Dear Yan,

Although I am still learning, I am very happy with your software for the resting state analyses.

However, I have a doubt. I performed the FC analyes considering the ROI1. Then, I used SPM to compare two groups G1 and G2. At the whole brain, I obtain a significative difference between the two groups in the cluster C1.

严老师：

您好！

我想用您的DPARSF-A toolbox来做Friston motion regression，只需要做这一步，我的数据格式为.nii.gz，我将每个人的数据分别放在一个文件夹 ，并将它们全部放在FunImgARWSDF下面，在DPARSF-A 的界面上仅仅勾选Friston24，其他都不勾选。但是报错为

In DPARSF, "Extract ROI time courses" can extract the ROI time courses from the defined ROIs, as stored in: ROISignals in {WorkingDir}/Results/ROISignals_FunImgARCWF/ROISignals_Sub_001.mat

"Functional Connectivity" analysis can also extract the ROI time courses, as stored in: SeedSeries in {WorkingDir}/Results/FC_FunImgARCWF/ROI_FCMap_Sub_001.mat