The Human Connectome Project (HCP) has tackled one of the great scientific challenges of the 21st century: mapping the human brain, aiming to connect its structure to function and behavior.
The Connectome Coordination Facility (CCF) houses and distributes public research data for a series of studies that focus on the connections within the human brain. These are known as Human Connectome Projects.
The CCF currently supports 20 human connectome studies. Scroll down to learn more.
The Human Connectome Project (HCP) has tackled one of the great scientific challenges of the 21st century: mapping the human brain, aiming to connect its structure to function and behavior.
HCP Lifespan Projects are acquiring and sharing multimodal imaging data acquired across the lifespan, in four age groups (prenatal, 0-5, 6-21, and 36-100+).
HCP Disease studies apply HCP-style data collection methods to subject cohorts at risk for, or suffering from, disorders affecting the brain.
We have released and maintain a set of open-source Connectome software that supports browsing, download, exploration, visualization and analysis of HCP data.
The Human Connectome Project (HCP) has tackled one of the great scientific challenges of the 21st century: mapping the human brain, aiming to connect its structure to function and behavior.
1200 Subjects, Age 22-35
Washington U. in Saint Louis, U. of Minnesota, U. of Oxford, Saint Louis U., Indiana U., U. d’Annunzio, Ernst Strungmann Institute, Warwick U., Radboud U. Nijmegen, U. of California at Berkeley
HCP Lifespan Projects are acquiring and sharing multimodal imaging data acquired across the lifespan, in four age groups (prenatal, 0-5, 6-21, and 36-100+). The scanning protocols are similar to those for the WU-Minn Young Adult HCP, except shorter in duration.
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1200 Subjects, Age 36-100+
Washington University, University of Minnesota, Massachusetts General Hospital, Harvard University, University of California Los Angeles, Oxford University
1350 Subjects, Age 5-21
Washington University, University of Minnesota, University of California at Los Angeles, Harvard University, Oxford University
500 Subjects, Age 0-5
1500 Subjects, Age 20-44 weeks post-conception
HCP Disease studies apply HCP-style data collection protocols toward subject cohorts at risk for, or suffering from, diseases or disorders affecting the brain, with a goal of providing comparable data to healthy HCP subjects across the lifespan.
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300 Subjects, Age 55-90
Medical College of Wisconsin, University of Wisconsin
450 Subjects, Age 18-85
University of Maryland
100 Subjects, Age 18-89
University of Alabama
225 Subjects, Age 14-15
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200 Subjects, Age 18-60
University of Pennsylvania, Mayo Clinic, Massachusetts General Hospital, Northwestern University, University of California San Francisco
400 Subjects, Age 50-89
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250 Subjects, Age 18-45
University of Pennsylvania
340 Subjects, Age 18-50
Medical College of Wisconsin, University of Wisconsin
400 Subjects, Age 16-35
Boston, MA: Brigham and Women's Hospital, Beth Israel Deaconess-Massachusetts Mental Health Center, McLean Hospital, Massachusetts General Hospital;
Indianapolis, IN: Indiana University
260 Subjects, Age 20-80
University of Southern California, University of Pennsylvania
300 Subjects, Age 18-35
Stanford University
300 Subjects, Age 18-59
University of Minnesota
240 Subjects, Age 20-64
University of California, Los Angeles
260 Subjects, Age 20-80
University of Southern California
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300 Subjects, Age 18-40
Washington University School of Medicine
Connectome software has been developed that fully supports browsing, downloading, exploring and analyzing of HCP data. Connectome software will be downloadable as individual components with full documentation on installing and using the tools.
v 1.4.2
v 3.4.0
The HCP Pipelines product is a 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.
v 3.0
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