There is a beta version of a multi-run ICA+FIX pipeline available in the HCP 
Pipeline’s repository.  For 5 minute runs, I would expect combining across runs 
to be best.  We haven’t tested combining across sessions yet, so you would have 
to check that that was working okay if you wanted to try that.

Peace,

Matt.

From: 
<[email protected]<mailto:[email protected]>>
 on behalf of Stephen Smith <[email protected]<mailto:[email protected]>>
Date: Friday, October 6, 2017 at 1:49 AM
To: Sang-Young Kim <[email protected]<mailto:[email protected]>>
Cc: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Subject: Re: [HCP-Users] Combining rfMRI data for different phase encoding 
directions

Hi - I think your main two choices are whether to run FIX on each 5min run 
separately, or to preprocess and concatenate each pair of scans from each 
session and run FIX for each of the 4 paired datasets.  You could try FIX both 
ways on a few subjects and decide which is working better.

Cheers.



On 5 Oct 2017, at 22:53, Sang-Young Kim 
<[email protected]<mailto:[email protected]>> wrote:

Dear Experts:

We have acquired rfMRI dataset with A-P and P-A phase encoding direction and 
the data was acquired in eight 5-minute runs split across four imaging 
sessions. We have processed the data using HCP pipelines (e.g., PreFreeSurfer, 
FreeSurfer, PostFreeSurfer, fMRIVolume, fMRISurface and ICA+FIX). So we have 
results for each run of rfMRI data.

I’m just curious about what is recommended way to combine each run of data 
(e.g., rfMRI_REST1_AP, rfMRI_REST1_PA, …, rfMRI_REST4_AP, rfMRI_REST4_PA).

Can we just temporally concatenate each run of data before running ICA+FIX?
Or can we do group ICA using each data processed with ICA+FIX?
What is the optimal way to do combining analysis across each run?

Any insights would be greatly appreciated.

Thanks.

Sang-Young Kim
***********************************************************
Postdoctoral Research Fellow
Department of Radiology at University of Pittsburgh
email: [email protected]<mailto:[email protected]>
***********************************************************


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