The R-fMRI Network

Dear Professor,

I have a question about extracting ROI signals.

I think there are many pipelines for the step.

Extracting ROI signals after

1) (in Calcuate in Original Space) "Filtering" step

2) "Normalziation" step

3) "Smoothing" step

Are they all different results? 

I heard that, even if I get those signals after "Normalizatoin" or " Smoothing", the signals must be calcualted in the original space.

Do you think it is meaningful to compare those ROI signals from different steps?

老师，我想问一下，就是我看了一下DPABISurf_VIEW的代码，经过FWE校正后得到的团块大小，one tailed和two tailed的cluster size返回值是一样的嘛

Hi!

I am trying to conduct preprocessing of resting-state fMRI.

Among those steps, I can get "pictures for check normalization"

However, no matter how I reorient images, I couldn't get images that I think ideal.

This link shows images that I reoriented and the attained results after normalization.

https://ibb.co/Bz8VFM8

However, what I think to be ideal is this picture.

https://ibb.co/3rdgmbZ

How can I get it to be ideal images?

Thanks!

Dear Colleagues,

We are pleased to announce the release of DPABI V7.0 (together with DPABIFiber V1.0 and DPABISurf V2.0)!