NIH Blueprint: The Human Connectome Project

News and Updates

Project News | February 24, 2015

Lifespan Pilot Report Available, FOAs for Lifespan Development, Aging Announced

Now available for download are an interim report  and associated slides summarizing findings from the HCP Lifespan Pilot project being conducted by the WU-Minn  and MGH-USC HCP consortia.

The ongoing HCP Lifespan Pilot is collecting multimodal imaging data acquired across the lifespan, in 6 age groups (4-6, 8-9, 14-15, 25-35, 45-55, 65-75) and using scanners that differ in field strength (3T, 7T) and maximum gradient strength (70-100 mT/m). The scanning protocols are similar to those for the WU-Minn Young Adult HCP, except shorter in duration.

The report should be of interest for those groups applying for the newly released FOAs from the NIH Blueprint:

Lifespan Human Connectome Project: Development (U01) for healthy subjects ages 5-21.

Lifespan Human Connectome Project: Aging (U01) for healthy subjects ages 36-90+.

The NIH also recently issued an FOA to solicit applications that will apply the HCP data collection protocols to human disease and disorder cohorts (PAR-14-281: Connectomes Related to Human Disease (U01).

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Posted by Jenn Elam @ 3:25 pm

Press Releases,Project News | February 23, 2015

HCP Data now mirrored on Amazon Web Services

logo-AWS-datasetsHuman Connectome Project data from the current 500 Subjects + MEG2 Release is now available on the cloud through Amazon Web Services Public Data Sets initiative. This alternative way to accesss HCP image data allows users to process or analyze the data directly through Amazon Web Services, without having to download from ConnectomeDB or order Connectome in a Box drives.

The process of getting access to the HCP Amazon S3 bucket housing the data is easy, but does require an account on ConnectomeDB and the acceptance of HCP data use terms. Amazon S3 can be used for cloud-based HCP data processing (Amazon charges users for compute cycles) or as an alternative to Aspera for download of HCP data at no cost to the user (Note: in most cases, downloading HCP data through Amazon S3 WILL NOT be faster than Aspera-driven data download through ConnectomeDB). Information on setting up an AWS EC2 instance and processing is available here: EC2 Beginner Startup Advice.

Press Releases,Project News,The Science of Connectome,Upcoming events | February 13, 2015

Announcing the 2015 HCP Course: “Exploring the Human Connectome”

We are pleased to announce the 2015 HCP Course: “Exploring the Human Connectome”, to be held June 8-12 at the Marriott Resort Waikiki Beach, in Honolulu, Hawaii, USA.

This 5-day intensive course is designed for investigators who are interested in:

  • using data being collected and distributed by HCP
  • acquiring and analyzing HCP-style imaging and behavioral data at your own institution
  • processing your own non-HCP data using HCP pipelines and methods
  • learning to use Connectome Workbench tools and the CIFTI connectivity data format
  • learning HCP multi-modal neuroimaging analysis methods, including those that combine MEG and MRI data
  • positioning yourself to capitalize on HCP-style data from forthcoming large-scale projects (e.g., Lifespan HCP and Connectomes Related to Human Disease)

Participants will learn how to acquire, analyze, visualize, and interpret data from four major MR modalities (structural MR, resting-state fMRI, diffusion imaging, task-evoked fMRI) plus magnetoencephalography (MEG) and extensive behavioral data.

Lectures and labs will provide grounding in neurobiological as well as methodological issues involved in interpreting multimodal data, and will span the range from single-voxel/vertex to brain network analysis approaches.

The course is open to graduate students, postdocs, faculty, and industry participants. Aimed at both new and existing users of HCP data, methods, and tools, the course will cover both basic and advanced topics. Prior experience in human neuroimaging or in computational analysis of brain networks is desirable, preferably including familiarity with FSL and Freesurfer software.

For more info and to register visit the HCP Course website.

We hope to see you in Hawai’i!

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