Dear Sir,
I am re-posting this question as I have not yet received an answer.
We have several reviewer questions that I would kindly ask your assistance with and which relate to the use of your very valuable DPARSF toolbox.
1)Using DPARSF we have bandpass filtered at 0.01-0.1 Hz. The reviewer requested to precisely state the 'type of filter". Was the filtering based on a 'discrete cosine transform' as done in SPM with the given frequencies used as cut-off, I believe this is correct, but just wanted to confirm.
2) the other reviewer question was this: "How many degrees of freedom were left in the data after preprocessing"? I am a little lost with this question. We regressed the white matter, CSF and the global signal ( and selected the 'Friston 24'). We also selected the Head motion scrubbing regressors (power option).
In your DPARSF toolbox I selected "motion scrubbing" and selected the FD (power) option.
The reviewer of our manuscript asked what the assumed head radius was? Would you be able to help with this?
I very much appreciate your help in answering these questions,
With kind regards,
Catherine Chong
a network for supporting resting-state fMRI related studies.
Hi Catherine,
Hi Catherine,
1. It's an ideal filter (e.g., http://www.dsprelated.com/freebooks/sasp/Ideal_Lowpass_Filter.html).
2. This is a difficult question. You can estimate the DOF according to Patel, A.X., Bullmore, E.T., 2015. A wavelet-based estimator of the degrees of freedom in denoised fMRI time series for probabilistic testing of functional connectivity and brain graphs. Neuroimage.
3. 50mm for FD Power.
Best,
Chao-Gan