Re: [HCP-Users] question about physio linked data for rfMRI

2017-11-17 Thread Elam, Jennifer
Hi Osama,

Take a look at p.38-39 of the S1200 Reference 
Manual
 for more info on the pulse-ox and respiration physio data we collected for HCP 
Young Adult. Greg can help you with more detailed questions about setup, etc.


Best,

Jenn

Jennifer Elam, Ph.D.
Scientific Outreach, Human Connectome Project
Washington University School of Medicine
Department of Neuroscience, Box 8108
660 South Euclid Avenue
St. Louis, MO 63110
314-362-9387
e...@wustl.edu
www.humanconnectome.org



From: hcp-users-boun...@humanconnectome.org 
 on behalf of Osama Abdullah 

Sent: Thursday, November 16, 2017 4:51:54 AM
To: hcp-users@humanconnectome.org
Cc: o...@nyu.edu
Subject: [HCP-Users] question about physio linked data for rfMRI

Dear HCP'ers,

Would you comment how to replicate the "Linked Physio" folder (e.g., for 
Subject 100307, the file 100307_3T_rfMRI_REST2_LR_Physio_log.txt). Is there a 
standardized procedure to record physio data along with the scans? What type of 
data was used (respiration and pulse-ox)? Was this time-locked with the scan 
temporal volumes? Maybe I missed it in the documentation but would appreciate 
any reference to where to find more information.

Thanks.

Osama

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Re: [HCP-Users] MEG resting state

2017-11-17 Thread Michalareas, Georgios
Hi Adoney,
The released data has been only 7.5 mm maximum movement within scan.
So the sensor positions should be quite close in all three resting state scans.
ICA was done with all three sessions concatenated together.
So I believe it should be one to concatenate them for your analysis too and 
assume sensors are more or less on same location.
If you want to treat each different scan separately then you have to follow 
different strategies like:
-Perform beamforming for each session separately and project each session 
separately into source space and then concatenate data in source space and do 
further analysis there.
-Make a virtual gradiometer array as the mean of the three gradiometer 
positions in the three scans and then interpolate the data of each session to 
this virtual MEG sensors using Fieltrip’s function ft_megrealign and then 
combine all data in this virtual sensor space. Keep in mind that this projects 
the data into source space and projects it back to the virtual sensor space.

I hope this helps
Best
Giorgos

From: 
mailto:hcp-users-boun...@humanconnectome.org>>
 on behalf of A Nunes 
mailto:adonay.s.nu...@gmail.com>>
Date: Thursday, 16. November 2017 at 21:56
To: "hcp-users@humanconnectome.org" 
mailto:HCP-Users@humanconnectome.org>>
Subject: [HCP-Users] MEG resting state

Hi,

The MEG resting state data is split in three sessions, is it possible to append 
the data before computing the covariance matrix?
I have some doubts because the sensor position might change between the 
recordings and if ICA was done separately, then the rank would change between 
sessions and I don't know how would this affect beamforming.

Any suggestions?

Thanks
Adonay

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[HCP-Users] Restricted access application processing

2017-11-17 Thread Kristina Meyer
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