dpabi使用VBM出错

Submitted by mayhappy on Sun, 05/21/2017 - 12:05
请各位老师帮忙看看，我用的metlab2014B，spm8，dpabi2.3，在运算VBM时出现如下提示：
 
警告: STR2FUNC "C:\Program
Files\MATLAB\R2014b\toolbox\dpabi_v2.3_170105\dparsf\Jobmats\Template_VBM_NewSegmentDARTEL.mat"
的输入不是有效的函数名称。在未来的版本中，这将生成错误。 
> In DPARSFA at 24
  In dpabi>pushbutton_VBM_Callback at 199
  In gui_mainfcn at 95
  In dpabi at 42
  In @(hObject,eventdata)dpabi('pushbutton_VBM_Callback',hObject,eventdata,guidata(hObject)) 
 
谢谢！！

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dpabi运行VBM出错

Submitted by mayhappy on Sun, 05/21/2017 - 12:00

Error Using Normalization

Submitted by RaviBot on Sat, 05/13/2017 - 15:46

Hello, 

I am importing thresholded weighted, undirected matricies (symmetric) into GraphVar from an outside progam. These networks/matricies are all not fragmented (checked using the CheckFrag button). I am randomizing using the random_und_connected function however when I try to calculate cetain graph metrics such as betweenness centralitity, I get an error saying "Normalization error: some metrics derived from random networks result in zero which can not be used for normalization." 

Could someone please advise on what could be the issue? Thanks in advance!

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GraphVar_v_1.03 Bugfix binary Clustering Coefficient

Submitted by Johann Kruschwitz on Thu, 05/11/2017 - 12:16

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.

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脑网络节点属性统计分析

Submitted by Lizzie on Tue, 04/18/2017 - 09:31

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~~~

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DPARSF Error/Bug Report Parallel Pool

Submitted by eglee on Mon, 04/17/2017 - 14:12

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.

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Start DPARSFA from NIFTI images

Submitted by dbd18 on Fri, 04/14/2017 - 09:40

To whom it may concern,

I would like to start preprocessing in DPARSFA from Nifti images so I placed the images under the FunImg folder (which contains a folder for each subject). However, when I change the 'Starting Directory Name' to FunImg. I get the following warning: 'Please arrange each subject's DICOM images in one directory and then put them in FunRaw directory under the working directory' and the gui automatically revert to FunRaw (which I do not have as I want to start from nifti images).

Could you please advise how to solve this problem?

Thank you,

R package for graph theory analysis of MRI data

Submitted by cgwatson on Thu, 04/13/2017 - 19:00
Dear DPABI users, (apologies for cross-post)

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Between group FC

Submitted by Patrizia on Thu, 04/13/2017 - 10:34

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.

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