DPARSF使用相关问题

Submitted by seasonliu on

老师您好,想请教您几个问题。我的需求是:将BOLD数据经过dpabi预处理后,再降采样,然后计算灰质每个体素与其余灰质体素的时间序列相关性。

1. 降采样。

    在预处理中Normalize这一步的时候,是否可以在Voxel Size选项就输入最终目标的体素大小,相当于降采样操作?

    或者预处理后,utilit里“Image Reslicer”是否可以对4D BOLD图像进行降采样?

2. 关于计算灰质每一体素与其余灰质体素的时间相关性。

    如何在标准空间里找到每一个灰质的体素?

    Dpabi是否可以计算每一个灰质体素与其余灰质体素的时间相关性?

附件是我的参数设置以及预处理的图像结果,劳请老师看看我这个结果质量是否可用。

十分感谢。

 

运行PT TFCE程序出错

Submitted by keke on
Warning: Directory already exists. 
> In y_GroupAnalysis_PermutationTest_Image at 43
  In y_TTest2_Image at 81
  In DPABI_STAT_TOOL>ComputeButton_Callback at 521
  In gui_mainfcn at 96
  In DPABI_STAT_TOOL at 42
  In @(hObject,eventdata)DPABI_STAT_TOOL('ComputeButton_Callback',hObject,eventdata,guidata(hObject)) 
Undefined function 'palm' for input arguments of type 'char'.
 
Error in y_GroupAnalysis_PermutationTest_Image (lin

error after slice timing

Submitted by steph34 on
Hello, I have used your software to preprocess resting-state data over the years, and your automated preprocessing pipeline DPARSF works very well. I am trying to replicate a finding from my dissertation analyses in a new dataset. I have 287 subjects, but did a test on the first three subjects to make sure the automated preprocessing ran smoothly with the latest version of DPARSF (running off DPABI) available on your website.

关于Dpabi预处理Reorient和头动的问题

Submitted by ly666 on

各位老师好,

         最近重处理了一些数据遇到了一些问题:

        1、由于重新处理数据,在reorient步骤多少有些差异,似乎这个差异会影响最后的预处理结果?如果用afni的3dwarp,可能不需要手动调节?

       2、不知道头动校正时Dpabi时使用第一个时间点图像还是平均头像做基线检测那6个头动参数的?因为同个数据删除了最后5个时间点发现最大的平动参数比没删之前要大,会是reorient不同影响么?

谢谢老师!

Explanation of Result outputs

Submitted by Vivek Trivedi on

Dear DPABI experts:

I am a bit confused regarding the outputs of the files in the 'Results' folder. There seem to be individual subject image files, m* files and z* files. My questions are: 

1. What do these different files represent?

2. Which files should I use for standardization and statistical analysis?

3. Would it make sense to use an ANOVA test to compare the ReHo results z* files of 3 groups (Control, Early Disease, Advanced Disease)? Will this test be able to show me significant differences in Regional Homogeneity between the 3 groups?