DPABI/DPABISurf/DPARSF

GSR or No GSR data preprocessing

Submitted by DHLee on

Hi. I'm a new user of Dpabi and Dparsf for investigating FC of brain network. 

I have a question about preprocessing steps using DPARSF. 

I want to acquire both GSR(Global signal regression) processed data and no-GSR processed data.

So, in Dparsf, I selected 'Both with & without ~' in Nuisance regressors(WM, CSF,Global) section. (attached photo)

But, the results only shows that the data contain only no-GSR processed data. (attached photo)

My desktop OS is Windows 10. 

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

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

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