help > Before rsHRF
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Mar 23, 2019 12:03 AM | Ariadna ALBAJARA SAENZ - ULB
Before rsHRF
Dear Danielle,
I am trying to start using the toolbox rsHRF and I have a few questions.
Since the volumes have to be preprocessed before entering them, could you give more information about the preprocessing that should be done?
Is it the same preprocessing as a task-based fMRIone?
Would this be okay:
- setting the origin
- slice timing
- realignment
- coregistration
- segmentation
- normalization
- smoothing (8x8x8 mm)
I read that in the case of resting state fMRI, the high pass temporal filtering threshold needs to be adjusted. Could you please tell us if this is correct and how to change this in SPM?
Thanks a lot in advance,
Ariadna
I am trying to start using the toolbox rsHRF and I have a few questions.
Since the volumes have to be preprocessed before entering them, could you give more information about the preprocessing that should be done?
Is it the same preprocessing as a task-based fMRIone?
Would this be okay:
- setting the origin
- slice timing
- realignment
- coregistration
- segmentation
- normalization
- smoothing (8x8x8 mm)
I read that in the case of resting state fMRI, the high pass temporal filtering threshold needs to be adjusted. Could you please tell us if this is correct and how to change this in SPM?
Thanks a lot in advance,
Ariadna
Mar 23, 2019 09:03 AM | daniele marinazzo
RE: Before rsHRF
Dear Ariadna
thanks a lot for your message.
High pass filter is ok, the important thing is to do low pass too, and no problem if you do it twice.
About spatial smoothing, you can include it (it's better to extract nuisance variables white matter/CSF from unsmoothed data) or not include it if you want better spatial resolution.
If you download the rsHRF plugin for SPM, you will find the suitable preprocessing options for example in this demo job
./spm/rsHRF/demo_jobs/vox_deconv_job1.mat
Hope this helps.
Daniele
thanks a lot for your message.
High pass filter is ok, the important thing is to do low pass too, and no problem if you do it twice.
About spatial smoothing, you can include it (it's better to extract nuisance variables white matter/CSF from unsmoothed data) or not include it if you want better spatial resolution.
If you download the rsHRF plugin for SPM, you will find the suitable preprocessing options for example in this demo job
./spm/rsHRF/demo_jobs/vox_deconv_job1.mat
Hope this helps.
Daniele