What's wrong with my normalization?

I can't find my password back of the forum "", and I can't creat a new account, so I post my question to the maillist directly.

Resting State Preprocessing (Graph Theory)


i have a question regarding the preprocessing of my resting state data for a subsequent investigation based on the graph theory. The common preprocessing procedure for a subsequently graph theory based estimation include the following steps:

* despike
* slice timing correction
* 3D motion correction
* Regression with motion parameters
* Register to MNI

Regarding Aurich et al. (2015) the following steps are also recommended to use:

AutoMask generates a white rectangle for a single subject


I am new to DPARSFA. AutoMask doesn't seem to be working for me. It runs without errors, but doesn't properly mask it brain. It just generates a white rectangle that covers the entire area. Screenshot is attached. Please advise. Thanks.

Values of sm* ReOh maps

Dear experts,

I computed ReOh maps for some patients and controls in DPARSFA (running the participants all together, hence with the same processing settings) and got maps where the values are not between [0 1], is this correct? I expect having values between 0 and 1 due to the computation of KCC. I obtain values between 0 and 1.6/1.8.

Please advice if correct,

Thank you,

Kind regards,

Bianca De Blasi

回复: 数据

ReOH and ALFF maps

Dear experts,

I am wondering whether you can give me more information about ReOh and ALFF maps or suggest some references where I can get the following information:

1) What are the typical ranges and inter subject variability of ALFF and ReOH maps?

2) Do I need to intensity normalise the maps output from DPARSFA for the ALFF and ReOh or can I use the m* output directly in the statistical analysis? If intensity normalisation is needed, could you suggest by what intensity value (whole brain, gm value)?





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