You need to correct such maps for the increased number of degrees of freedom in 
HCP data if you want to get a sense of sensitivity.  For grayordiante-wise 
correlation analysis, you can increase SNR using a Wishart Rolloff as described 
in the supplementary methods of our recent publication:

http://www.nature.com/nature/journal/vaop/ncurrent/full/nature18933.html

Peace,

Matt.

From: 
<[email protected]<mailto:[email protected]>>
 on behalf of Daniel <[email protected]<mailto:[email protected]>>
Date: Monday, July 25, 2016 at 12:48 PM
To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Subject: [HCP-Users] SNR regarding resting state fcMRI in the HCP database

Dear group,

I analysed the SNR of a HCP subject (100206, rfMRI_REST2_LR) and was wondering 
that the SNR is quite low. Attached you can find the results for the threshold 
of 30. Using a threshold of 50 all signal disappeared!

I am aware that the use of higher spatial resolution results in a lower SNR, 
however, using a SNR with such a low SNR we previously failed to analyze any 
variability and even connectivity for instance in and between the left-to-right 
motor cortex.

Can anyone explain in more detail why the HCP SNR is quite low and if this 
affects data analysis? For instance variability between subjects may decreases 
but is this an artificial homegenization of subjects?

Best regards,
Daniel


SNR lower thr=30
      [cid:[email protected]]

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