DPABI/DPABISurf/DPARSF

按照教学视频，在Utilities模块ROI signal extracter中添加患者组zVMHC文件，define ROI选择了view模式时保存下来的的single cluster的T2.nni文件，然后提取出现如下错误，请老师帮忙看一下

Dear

I have a problem with realingment error that is driving me crazy.

The error that occurred is as follows.

最近用使用严老师的DPABI中的TDA模块做了动态功能连接，在查阅了文献后发现很多文献在fisher-z变换后将z值划分为（<-0.5）（-0.5～-0.25）（-0.25～0.25）（0.25-0.5）（>0.5）这5段以验证sliding window对组水平差异的影响。请问在DBAPI的工具中能实现吗？

Hello all,

I am using DPARSF to preprocess some rsfMRI data for use in a machine learning algorithm. I am worried about the use of DARTEL because of overfitting resulting from the creation of a template based on all subjects. I was thinking of using DARTEL but with a template derived from an independent sample of 555 healthy control subjects of the IXI-database. I already have this template. To use, I believe I would need the hidden option mentioned in the videos "Normalize by using T1 templates". How could I go about using this option?

Hi,

since gunzip with Matlab is ultra slow I would like to turn of zipping the files when using the T1 DICOM to Nifti and EPI DICOM to Nifti option. How is this possible?

Thank you in advance

David

Hello, 

I have a question regarding to generating a group mask under quality contral. I wanted to generate a group mask for later use in paired t-test analysis, and this step is very important in this analysis. 

I watched the online courses to find out how the working directory is set up and tried the same way that was in the vedio:

老师好！

请问为什么灰质密度用作协变量分析时用“wc1”文件，而做VBM分析时用“smwc1”文件？

谢谢！

Zhe

严老师，您好！

我在数据预处理中"Nuisance Covariates Regression"去除脑脊液、白质，所以通过"T1 Coreg to Fun"和“New Segment+DARTEL”这一步生成了灰质、白质、脑脊液的文件数据。

后面在做VBM中，通过dpabi默认的步骤"Reorient T1*"和“New Segment+DARTEL”也同样生成了，灰质、白质、脑脊液的数据文件。

请问这里第一步一个是做"T1 Coreg to Fun"，一个是做"Reorient T1*"，那在“New Segment+DARTEL”生成的灰质、白质、脑脊液数据文件是相同的吗？

谢谢！

Zhe

hello!

professor Yan, when i processed my data with dparsfa based on matlab2013a, spm12, an error always occured.

but i 'm sure that i had used same parameters processed data successfully once a time

just with smooth value change from 4mm to 6mm

here are the infor that shoewed in matlab :

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