DPABI/DPABISurf/DPARSF

Dpabi features and regions

Submitted by Ali on
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DPABI/DPABISurf/DPARSF

Dear Dr.YAN

first i got these features(ALFF.fALFF,ReHO and VMHC)

I did tow sample ttest for 70patient and 70 control using  depabi and got the statistical map as .nii pecture ,then i used depabi viewer to show the significant regions for this map with template AAL, my question how  can i map these features to these regions and how can i find  all significant regions (regions affected by these features) for all slices.

Thanks for your help.

Statistical analysis: which directory to choose

Submitted by cgwatson on
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DPABI/DPABISurf/DPARSF
Hello, I would like to do statistical analysis (two groups), but I am unsure which directory to select. If I select any of the "Results" directories (for example, Functional Connectivity), it chooses *all* images in the directory. However, there are (I think) 3 images per subject. How can I choose only the relevant ones?

Do the ROI templates apply to process monkey data In DPABI?

Submitted by zhoujun on
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DPABI/DPABISurf/DPARSF

Hi,

    Recentlty, I have been processing my monkey data in DPABI. According to template paremetes, I do not execute brain extraction and nusiance covariates regression, due to there were  error in bet and nusiance covariates regression will lead to a bad result.

   I have some questions about monkey data processing,

猴子静息态数据预处理

Submitted by zhoujun on
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DPABI/DPABISurf/DPARSF

严老师，您好！

我目前正在使用DPABI中的DPARSF for monkey版本处理猴子静息态功能磁共振图像，其扫描参数为，间隔扫描，FOV：96*90*76，number of slice: 76, size of voxel: 1*1*1mm3 , TR: 6000ms, time of point: 336。

先是以其中一个被试的数据（4D NiFTI .nii格式）为例进行测试。事先已经剔除了前6个时间点。处理的过程以及疑问清晰描述在word（比较好排版）里面，所以麻烦老师了。

 

郭承珍

 

 

smoothing after augmentation of mouse data

Submitted by amrka on
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DPABI/DPABISurf/DPARSF

Hi all:

    I am working on a resting state data set of mice. I have followed the tutorial of rodents data processing. My question is after I augmented each voxel by 10 what is the smoothing kernel I should use?. I understand it is supposed to be 2-3 times the size of the voxel, so should I consider the size of the voxel before or after the augmentation?.

 

for example: the original size of the voxel was 0.5X0.5X0.5 and after augmentation it became 5X5X5, so the kernel should be 1X1 or 10X10.

 

Thank you.

Amr

different scanning parameters

Submitted by Emilia Cheladze on
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DPABI/DPABISurf/DPARSF

Hi!

I am doing an analyses on two groups of subjects with data that was acquired with different scanning parameters:

1. TR 2.3, 37 slices, 3x3x3

2. TR 2.3, 34 slices, 4x4x4

What would be the best common voxel size for the analyses? 

To what point should I preprocess the data separately?

Thank you for any hepl in advance,

Emilia Cheladze

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