[Mne_analysis] Fwd: [megcommunity] HCP Releases Initial MEG Dataset

[Alexandre Gramfort]

hi MNE list,

the first MEG HCP data are out.

We've worked together with Robert and Martin so the MNE pipeline can be used
on these data. If you want to give it a try and report your progress
please do.

Best,
Alex


---------- Forwarded message ----------
From: Robert Oostenveld <r.oostenveld at donders.ru.nl>
Date: Wed, Mar 5, 2014 at 8:35 AM
Subject: [megcommunity] HCP Releases Initial MEG Dataset
To: MEGCOMMUNITY at jiscmail.ac.uk



*News from the Human Connectome Project (HCP)*
*March 4, 2014*

The Human Connectome Project (HCP) WU-Minn consortium is pleased to
announce our initial release of magnetoencephalography (MEG) data.

*What's in the HCP MEG Initial (MEG1) data release?* The MEG1 data include
10 complete, high quality datasets from 14 healthy adults collected at rest
(rMEG) and during 3 tasks (tMEG) that measure sensory, motor, and cognitive
task performance.  For 3 subjects in this MEG release, data has already
been released for the other modalities in the HCP protocol (T1w and T2w
MRI, rfMRI, tfMRI, dMRI, and behavioral measures). MRI and behavioral
measures for the remaining 11 subjects will be released as part of the
upcoming HCP 500 Subjects Release scheduled for late spring 2014.

The MEG1 release includes:

·         raw, unprocessed MEG data in 4D Neuroimaging format

·         co-registration information (in the form of transformation
matrices) that allow coordinate transformations between individual subject
MEG coordinate systems and the MNI coordinate system

·         volume conduction model of the head (in MATLAB format)

·         regular 3-D source models (in MATLAB format)

·         E-Prime log files (tab-delimited and as Excel spreadsheets)

·         lists of bad channels and bad segments

·         sets of independent components (each comprising the time course
and the sensor map) together with the related classification output

·         cleaned channel-level processed data aligned to stimulus and
response onsets (for the task data) or segmented in short pieces (2 sec
epochs for the resting state data)

·         averaged event-related fields and time-frequency estimates of
power (for the task data)

·         averaged power spectra (for the resting state data)

*Download MEG analysis software.* Also available for download and use are
pipeline scripts specifically written for analyzing HCP MEG data,
collectively called "*megconnectome software version 1.0*", and the
FieldTrip <http://fieldtriptoolbox.org/> MATLAB toolbox for MEG and EEG
analysis. Seehttp://humanconnectome.org/documentation/MEG1/meg-pipeline.html
 for more information and to download the software.

*Access MEG1 data on the HCP website.* Learn about and download the HCP
MEG1 dataset <http://humanconnectome.org/data/> (~300GB of data!) via the
ConnectomeDB database. Most HCP image and behavioral data is openly
accessible to investigators worldwide who register and accept a limited set
of Open Access Data Use
Terms<http://humanconnectome.org/data/data-use-terms/open-access.html>
.

*Want more information? * Check out the HCP MEG1 Data Release Reference
Manual<http://humanconnectome.org/documentation/MEG1/MEG1_Release_Reference_Manual.pdf>
for
a comprehensive guide that includes details on scanning protocols,
processing pipelines, and information that will help users obtain and
analyze the Q3 data.
If you are actively using HCP data and tools, we encourage you to join and
be active in the *hcp-users discussion group* (
http://www.humanconnectome.org/contact/#subscribe), so that you can tune in
to technical discussions on issues that may be of interest.

Thanks again for your interest in the HCP.  Please send us your questions
and comments anytime to info at humanconnectome.org.

Best,
The WU-Minn HCP Consortium


Jennifer Elam, Ph.D.
Outreach Coordinator, Human Connectome Project
Washington University School of Medicine
Department of Anatomy and Neurobiology, Box 8108
660 South Euclid Avenue
St. Louis, MO 63110
314-362-9387
elamj at pcg.wustl.edu
www.humanconnectome.org
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