Applying High-pass filtering with DPARSFA 5.0

Submitted by JulianG on Mon, 03/09/2020 - 10:42

Hi,

1) I need to High-pass filter my data. Since my TR is 1.3 (multiband sequence), I simply typed [0.01 - 0.3] in the GUI. Is it safe enough? Or maybe should I do anything else?

2) Also,  I wonder whether there is any difference between filtering the data from the GUI's preprocessing section (which is my case, please see attached image), and filtering  from the FC section.  

3) Open question, from which I do not expect bynary (do/don't do ) answers.  Just, opinions:  How about not filtering rs-fMRI data?

https://www.pathlms.com/ohbm/courses/5158/sections/7788/video_presentations/75975

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4318656/

Thanks in advance and wish you a good day.

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Forums:

YAN Chao-Gan

Thu, 03/19/2020 - 11:56

1. 1/1.3/2=0.3846. 0.3 is not enough.

2. Yes.

3. If following the tradition, you should filter the data. But it depends on your hypothesis.

JulianG

Mon, 01/10/2022 - 12:14

Dear Yan, 

Thanks for your comments. According to the DPARSFA matlab code, the cutoff for high-pass is 0.01

    handles.Cfg.Filter.ALowPass_HighCutoff=0.08;
    handles.Cfg.Filter.AHighPass_LowCutoff=0.01;
 
Again, the aim is to implement the  high-pass filter during the preprocessing of a task-dependent fMRI data.  Therefore, I wonder how to remove the low-pass filter from the GUI. 
 
Should I type: 
 
Or
 
Or another value prhaps?
 
Thank you so much in advance for clarifying. 
 

 

YAN Chao-Gan

Mon, 01/24/2022 - 11:24

I will put  a nubmer big enought (10 for example).

JulianG

Mon, 02/07/2022 - 10:25

Dear Yan,

Thank you very much for your feedback.

Have a nice day.