尊敬的各位老师：
      我想问ica提取出来z值应该怎么解释呢？我做的是case-control用双样本t检验后选取其中的roi，再提取z值，这个指的是roi在这个大脑网络的连接强度？还是指？

老师：
   您好，我在计算完两组被试的DC之后，进行双样本T检验，把有显著差异的脑区提取出来，然后想对每组被试提取感兴趣区域的mDC值。
请问：
1.ROI的制作是用对应ALL模板中不同脑区的阈值提取脑区作为mask好还是采用以Peak点为中心的球形ROI比较好呢？
2.提取感兴趣区域是不是把每组所有被试的各ROI值提取出来，然后用SPSS统计比较两组的差异吗？可不可以对每组被试的单样本T检验校正后的cluster结果提取ROI值？
谢谢您！

Dear REST experts:

I have some problems of process about ReHo production during DPARSF.

Running job #1
------------------------------------------------------------------------
Running 'Smooth'
Done 'Smooth'
Done

Moving Smoothed Files:subject001 OK

Removing the linear trend:

Read 3D EPI functional images: "E:\Neuroimaging database\MDD VBM\TEST\FunImgNormalizedSmoothed\subject001".............................
............................
Moving Dtrended Files:subject001 OK

Hi Dr. Yu-feng Zang and collegues,
I'm Wi Hoon in South Korea. I'd like to convert voxel size of 3x3x3 to 4x4x4 in MNI space using DPARSFA or SPM. 
Could you tell me bounding box imformation for 4x4x4 voxel size (e.g., [-90 -126 -72; 90 90 108] for 3x3x3 voxel size)?

Best,
Wi Hoon

I've have a question doing VHMC within the DPARSFA pipeline. The default outputs of VHMC include both VMHC and zVMHC files. The zVMHC file seems to reflect a Z-transform of the VMHC file, performed on every voxel inside a default brain mask. However, the default mask includes the midline slice that has perfect correlation with itself. Is there a way to exclude the midline slice from the Z-transform?

Thanks,

Jason

Dear teachers：
Added is the errors when running ‘new segment+DARTEL’ using DPARSFA. But when running ’segment‘ it can work well. Actually, I can find cfg_util in spm8. Could you tell me the reason? Thank you very much!
The following modules did not run:
Failed: New Segment

Dear Dr. Dong

I notice a new function added into REST Image Calculator, "corr(i1,i2,'spatial')" .

What is the 'spatial' correlation between image 1 and image2?

Is there any ref. about this  'spatial' correlation?

Thanks.

A wrriten mistake in transformation of F values to F' values in REST-GCA paper was pointed out by Mr. WU Guorong. We thank Mr. Wu for the correction and we confirmed the REST-GCA toolkit code is correct.
We apologize to readers for this mistake. In the readme file of REST-GCA, this formula is correctly presented. Users could download the readme file in REST-GCA section.

 老师您好：

       我发现大部分针对静息态的研究被试都是常规MRI没有明确病灶的，那么对于常规MRI能够发现病变的能否运用DPARSF软件进行分析，或者说能否进行静息态脑功能研究呢？谢谢！

各位老师：