DPABI/DPABISurf/DPARSF

尊敬的严博士，我在用统计模块进行两个独立样本T检验时，在添加患者组和对照组后，还添加了Mean FD，性别，年龄，教育年限等协变量，但是我发现在点Run之后，并没有运行协变量，得到结果和我没有添加协变量时是一样的，我怀疑是我编辑的协变量文件不正确。例如我建立一个记事本文件（OCD.txt）,假如我有13个被试，我就编辑成13行，4列；每一行从左到右以此是：性别，年龄，教育年限，Mean FD；打开后内容如下：

结果如下：DLH 0.091699 voxels^-3 before correcting for temporal DOF

FWHMx = 3.744741 voxels

FWHMy = 3.687451 voxels

FWHMz = 3.645997 voxels

FWHMx = 11.234224 mm

FWHMy = 11.062353 mm

FWHMz = 10.937990 mm

DLH = 0.092841

VOLUME = 174972

RESELS = 50.345928

尊敬的严博士，关于这些结果我不是很明白，我想了解一下上面这些结果分别表示什么意思？感谢亲爱的严博士

Dear Dr. Yan,

I encountered a problem while doing Mixed Effect Analysis. I wanted to add covariates (age, gender and handness). But the problem is that the covariates are the same for both condition 1 and condition 2.

I added as

group1_cov.txt

group1_cov.txt

group2_cov.txt

group2_cov.txt

Then Dpabi ran for hours and gave weired results. I also tried to name the covariates differently but it didn't work either. I wonder what is the proper way to add covariates in Mixed Effect Analysis. 

Thank you!

Best Regards,

Mengjiao

Dear Yan,

Dear Experts

I would like to genearate a group GM mask by using DPABI's quality control module.

In my understandings, I could generate a GroupMask90Percent.nii based on wAutomask, and then thresholding the mask.

1. How to create a group specific GM mask by using QC module?

In addition, all images must have the same dimension for statstiscal analysis.

If a group GM mask was generated using SPM Masking toolbox, and then reslicing the mask.

      2. The resliced mask looks a little bit different, how to solve this issue?

严老师，您好！

   我在用DPASFA做功能连接时对输出结果有一些疑惑，想跟您询问一下。

   我选取了14个AAL脑区做成一个MultipleLabel的模板，勾选了Functional Connectivity和Extract ROI time course。

   在输出的结果中，FC_FunImgARCWSF文件夹中的SeedSeries和ROISignals_FunImgARCWSF的值不一样。我的理解是SeedSeries和ROISignals应该都是某个脑区信号的时间序列的平均值，请问我的理解对吗，如果不对，那这两个文件实际上对应的是什么值？另外，FC_FunImgARCWSF文件夹中的ROI1FCMap_sub1.nii文件是某个脑区所有体素的信号均值与全脑的连接强度，还是某个脑区的中心坐标的信号与全脑的连接强度？

   期待您的答疑，十分感谢！