DPABI/DPABISurf/DPARSF

Creating mask of significant difference ROIs from ttest

Submitted by FaezeVedaei on

Hi

 

I did two-sample ttest using statistics tool and got the list of clusters after multiple comparison correction (FDR correction). I just could not find the way to create specific masks for the regions survived multiple comparison correction. Can you please guide me how I can do this?

Thank you

Faeze

Creating mask of significant difference ROIs from ttest

Submitted by FaezeVedaei on

Hi

 

I did two-sample ttest using statistics tool and got the list of clusters after multiple comparison correction (FDR correction). I just could not find the way to create specific masks for the regions survived multiple comparison correction. Can you please guide me how I can do this?

Thank you

Faeze

Creating mask of significant difference ROIs from ttest

Submitted by FaezeVedaei on

Hi

 

I did two-sample ttest using statistics tool and got the list of clusters after multiple comparison correction (FDR correction). I just could not find the way to create specific masks for the regions survived multiple comparison correction. Can you please guide me how I can do this?

Thank you

Faeze

Error using DPARSFA_run (line 819) Index exceeds the number of array elements (0).

Submitted by gerardyu on

Hi there, 

Thie above error seems to appear after the slice timing was completed successfully. I've checked that

1. all the subject folders have .nii file in the FunImgA directory

2. all of these .nii files have the same time point

3. all the subject folders have a .nii file in the T1Img directory

it would seem that the next step is the field map correction

i have the following field map files within the FieldMap directory for all subjects:

FieldMap/Magnitude1Raw/002/Mag1.nii

FieldMap/Magnitude2Raw/002/Mag2.nii

Statistics information after multiple comparison correction

Submitted by FaezeVedaei on

Hi 

I just wanted to ask if there is a way to get detail information about significant clusters, name of the regions in each cluster, the coordinatin, p-value, t-stat and other information after applying multiple comparison correction in DPABI, viewer?

I already did some statistical tetsts including two-sample and one-sample ttest. But need to get information from the result. I really appreciate it if you guide me to do that.

 

Thanks

Faeze

关于smooth的问题

Submitted by spl on

各位老师好:

最近在用dparsf进行rs-fMRI的处理,第一次处理时smooth选择了smooth derivatives,但这种情况下获取的平均时间序列是没有进行smooth处理的,所以第二次我在FunImgARCWF的基础上进行smooth处理,但smooth时不知为何会对部分被试进行多次的smooth,获取的有s*,ss*,sss*的数据,请问这是怎么回事呢?我是在Linux服务器上,采用DPARSFA_run函数,对设置好的batch文件进行处理的,请问各位老师,这种情况该怎么处理呢?

 

还有不知为何在服务器上运行速度特别慢,烦请老师看一下,我采用的代码是否有问题呢?
 
mpirun -np 32 matlab -nodisplay -nosplash -logfile 'batch1.log'\ -r "addpath(genpath('/public1/data/DPABI'));DPARSFA_run('/public1/data/fMRI/20210128_power_global_script.mat')"
 
 

Does FunVolu in the Results of DpabiSurf the same as the Results in DPARSF?

Submitted by YML on

Dear Prof Yan,

I am wondering whether the FunVolu in the Results of DpabiSurf the same as the Results in DPARSF? Both of the results are in volume space, right?

Looking forward to your response.

Thank you very much!

Dr Yuan

task fmri preprocess and first level

Submitted by Becky on

Hi. Professor Yan

I got two questionas about task fmri data preprocess and first level analysis.

1 There was two kinds of task with four runs for my data. In the preprocessing, should I preprocess the data one run by one run, or one task (two runs) by one task, or four runs together?

2 For the first level analysis, is it necessary to add WM and CSF signal as covariates? If so,  how do I get WM and CSF signal in the preprocessing?

Look forward to your reply.

Best

Bekcy

 

任务态下做功能连接如何回归掉任务态回归子?

Submitted by doctorsol on

1.请教下各位各位老师,做任务态的功能连接前如何回归掉任务态回归子?具体怎么操作呢?

2.是否需要区分block设计和event-related设计?

3.如果希望观察任务本身对功能连接的影响是否还需要回归掉任务态回归子?