Dear Matt.,

Thanks for your reply. I have only one machine with 16GB RAM and the others 
with 8GB. for a dtseries.nii file, if I calculate pairwise correlation for a 
91282 by 1200 matrix. It would cost 60GB RAM in matlab. Although we find a way 
to calculate a sparse pairwise correlation matrix, we still can not handle a 
91282 by 4800 (or more) matrix easily. 

Now that using all four files is essential, I plan to first calculate the 
pairwise correlation matrix for each run, then average the correlation matrix 
from 4 runs for each subject. Is this ok?

Many thanks!
Chao

> On 23 Jan 2015, at 13:57, Glasser, Matthew <[email protected]> wrote:
> 
> How much RAM do you have?  The CIFTI files use far less RAM than the
> volume files, but contain all the grey matter information represented in a
> way that makes combining across subjects more accurate.  If you don¹t use
> all the data your estimates of the subject¹s functional connectivity will
> be noisier and generally less stable (one 15 min run looks more different
> than another than if you compared two sets of 1 hour¹s worth of data).
> Also there are some left/right asymmetries in the data induced by the
> LR/RL phase encoding directions, which some people perceive as a problem
> (though if we had used AP/PA there would still be asymmetries
> posterior/anterior).
> 
> Peace,
> 
> Matt.
> 
> On 1/23/15, 6:44 AM, "Chao Liu" <[email protected]> wrote:
> 
>> Dear HCP Experts,
>> 
>> I am inspecting the HCP rfMRI data. For each subject, there are two
>> sessions with 2 runs (LR&RL) in each session, yielding 4 files in total.
>> Although we can concatenate all the four time series and do the
>> correlation, I found the memory needed is more than the memory I have on
>> lab computer, leading to a very slow calculation. So I am wondering the
>> difference between using only one run and using all the four runs. Will
>> it give wrong results if I use only one run?
>> 
>> Many thanks!
>> Chao
> 
> 
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