NIH Blueprint: The Human Connectome Project

News and Updates

Press Releases,Project News | November 25, 2014

New MEG Data Released as Update to the 500 Subjects Data

Screen shot 2014-11-26 at 9.49.30 AMThe Human Connectome Project (HCP) WU-Minn consortium is pleased to announce the release of new MEG data as part of the 500 Subjects +MEG2 update.

What’s in the HCP 500 Subjects + MEG2 data release?  This release adds new high-quality MEG data (including source-level processed connectivity data) to the 500 Subjects behavioral and 3T MR imaging data released in June 2014. Included are resting-state MEG (rMEG) and/or task MEG (tMEG) data from 67 subjects in unprocessed, channel-level processed, and source-level processed packages, plus behavioral and 3T MR imaging data from 542 healthy adult participants collected in Q1-Q6+. MRI and behavioral datasets from 15 MEG subjects that were not in the original 500 Subjects release have been added.

Updates for the 500 Subjects + MEG2 release:

  • High-quality MEG scans (unprocessed, channel-level processed, and source-level processed) from 67 subjects, including over 30 individual complete datasets with resting state (rMEG) and each of the three task protocols (tMEG: motor, working memory, and language processing).
  • Structural MRI-based MEG anatomical models for all subjects for which MEG data have been released.
  • Behavioral and demographic data on 542 subjects, available for viewing in the ConnectomeDB dashboard or for download as comma separated variable (.csv spreadsheet format) files.
  • Updated versions of the megconnectome pipelines software.
  • Source-level MEG results can be viewed interactively on surfaces in wb_view, the Connectome Workbench viewer.

Multiple-levels of MEG processed data available. The MEG data released (67 subjects) includes the raw data in 4D imaging format and the outputs of a number of data processing pipelines.

The utility pipelines include quality control and artifact identification to remove “bad” channels, segments, and physiological artifacts, and an anatomy/source reconstruction pipeline to coregister the MEG to structural MRI (sMRI) and dMRI.

The resting-state and task Channel-level (preprocessing) pipelines result in sets of components obtained from ICA together with the related classification into artifacts and non-artifacts, cleaned and segmented data with channel-level Event-Related fields (ERFs), Time-Frequency responses (TFRs) and power-spectra.

The Source-level pipelines project the sensor maps from rMEG and tMEG channel-level processing into source space, produce rMEG ICA-based frequency specific connectomes, and produce rMEG Band Limited Power dense timeseries and connectomes.

Access 500 Subjects + MEG2 data on the HCP website. Explore, download, or order the HCP 500 + MEG2 Subjects dataset (~20TB 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. Note: Please clear your browser cache before logging in to ConnectomeDB.

Want more information?  Check out the HCP 500 Subjects + MEG2 Release Reference Manual for a comprehensive guide that includes details on imaging protocols, behavioral measures, and information that will help users obtain and analyze the 500 Subjects + MEG2 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.

 

Press Releases,Project News | October 31, 2014

HCP Lifespan image on cover of Science

A myelin maSciencecoverp brain surface image from a 65-75 year old healthy HCP Lifespan subject is featured on the October 31, 2014 Aging Brain special issue of Science.

Myelin mapping is being used in HCP  provide useful markers between individuals for functionally distinct regions of the cerebral cortex, which can vary in size and location between individuals. One of the questions being asked in the HCP Lifespan pilot project is whether maps of myelin content change over the lifespan and how those changes might affect the function over the brain in healthy aging.

The image was produced in Connectome Workbench from a subject scanned in Lifespan Phase 1a who was recruited as a healthy control through the Knight Alzheimers Disease Research Center at Washington University.

Press Releases,Project News | September 10, 2014

HCP Processing Pipelines Released

PipelinesGithubThe WU-Minn HCP Consortium is pleased to announce the open source release of HCP data processing pipelines at https://github.com/Washington-University/Pipelines.

To download, click releases (near the top of the page), then under v3.4.0, click the “Source code (zip)” or “Source code (tar.gz)” button.

These v3 pipelines were used to process HCP image data from the HCP 500 Subjects Release (June 2014).

The HCP Pipelines are set of tools (primarily, but not exclusively, shell scripts) for processing MRI images for the Human Connectome Project. Among other things, these tools implement the Minimal Preprocessing Pipeline (MPP) described in Glasser et al. 2013.

We are releasing the HCP Pipelines now for use to the community, but we are still in the process of making the scripts more robust, well-documented, and usable in other environments (other versions of operating systems, other queueing systems, other versions of prerequisite tools, etc.). We cannot guarantee that you will not have to make modifications to the scripts for them to be used successfully in your environment.

The HCP Pipelines require installation of FSL 5.0.6, FreeSurfer v5.3.0-HCP, and Connectome Workbench v1.0. See the README.md in the GitHub repository for detailed information on prerequisite software versions, installation and processing instructions, example data, and processing resource requirements.

Answers to frequently asked questions can also be found on our Github Repository: HCP Pipeline FAQ.

We encourage user feedback and improvement suggestions on the HCP Pipeline tools and the documentation. Discussion of HCP Pipeline usage and improvements can be posted to the hcp-users discussion list. Sign up for hcp-users at http://humanconnectome.org/contact/#subscribe

Best,

The WU-Minn HCP Consortium

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