There is more unstructured noise in HCP data because of small voxel size and 
fast TR.  Basically that means the ratio between the neural signal and the 
random noise is lower and that leads to lower correlation coefficients.

Peace,

Matt.

From: 
<hcp-users-boun...@humanconnectome.org<mailto:hcp-users-boun...@humanconnectome.org>>
 on behalf of Amin Dadashi 
<amin.dada...@uni-tuebingen.de<mailto:amin.dada...@uni-tuebingen.de>>
Date: Monday, July 9, 2018 at 4:14 AM
To: hcp-users 
<hcp-users@humanconnectome.org<mailto:hcp-users@humanconnectome.org>>
Subject: [HCP-Users] Brainstem to cortex baseline r-value

Dear HCP users,

Recently, I have tried to calculate the zero-order correlation between some 
brainstem ROIs and the cortical vertices. Looking at the mean subjects' 
correlation map, the connectivity pattern totally makes sense. Even after doing 
the statistical testing (using permutation based on maximum t-statistics) the 
significant correlated clusters are located in the expected areas. However, the 
magnitude of the correlation coefficients are very small (in the order of 0.05 
for the peak vertices in the mean map). I have also done the volume-based 
voxel-wise analysis for the same brainstem ROIs and I had similar findings 
there.
Is there any explanation for such small r-values even though the significant 
correlations seem to be meaningful?

Thank you all,
Amin

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