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.
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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.
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4 Projects, Active 2013-2020
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+).
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18 Projects, Active 2017-2027
HCP Disease studies apply HCP-style data collection methods to subject cohorts at risk for, or suffering from, disorders affecting the brain.
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In Active Development
We have released and maintain a set of open-source Connectome software that supports browsing, download, exploration, visualization and analysis of HCP data.
Latest News | All News
Healthy Adult Connectomes
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 Young Adult
PI: Kamil Ugurbil, David Van Essen1200 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
Current Data Releases (All Data Releases)
Lifespan Connectome Data
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.
HCP Aging
PI: Beau Ances, Susan Bookheimer, Randy Buckner, David Salat, Stephen Smith, Melissa Terpstra, Kamil Ugurbil, David Van Essen, Roger Woods1200 Subjects, Age 36-100+
Washington University, University of Minnesota, Massachusetts General Hospital, Harvard University, University of California Los Angeles, Oxford University
Current Data Releases (All Data Releases)
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PI: Deanna Barch, Susan Bookheimer, Randy Buckner, Mirella Dapretto, Stephen Smith, Leah Somerville, Kathleen Thomas, David Van Essen, Essa Yacoub1350 Subjects, Age 5-21
Washington University, University of Minnesota, University of California at Los Angeles, Harvard University, Oxford University
Current Data Releases (All Data Releases)
Lifespan Baby Connectome Project
PI: Jed Elison, Weili Lin500 Subjects, Age 0-5
University of North Carolina, University of Minnesota
Lifespan Developing Human Connectome Project
PI: David Edwards, Jo Hajnal, Daniel Rueckert, Stephen Smith1500 Subjects, Age 20-44 weeks post-conception
King's College London, Imperial College London, Oxford University
Connectomes Related To Human Disease
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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PI: Barbara Bendlin, Shi-Jiang Li300 Subjects, Age 55-90
Medical College of Wisconsin, University of Wisconsin
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University of Maryland
Changes in Visual Cortical Connectivity Following Central Visual Field Loss
PI: Kristina Visscher100 Subjects, Age 18-89
University of Alabama
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Connectomic Imaging in Familial & Sporadic Frontotemporal Degeneration
PI: Murray Grossman200 Subjects, Age 18-60
University of Pennsylvania, Mayo Clinic, Massachusetts General Hospital, Northwestern University, University of California San Francisco
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PI: Yvette Sheline250 Subjects, Age 18-45
University of Pennsylvania
Epilepsy Connectome Project
PI: Jeff Binder, Beth Meyerand340 Subjects, Age 18-50
Medical College of Wisconsin, University of Wisconsin
Human Connectome Project for Early Psychosis
PI: Alan Breier, Martha Shenton400 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
Human Connectomes for Low Vision, Blindness, and Sight Restoration
PI: Geoffrey Aguirre, Vivek Patel, Yonggang Shi260 Subjects, Age 20-80
University of Southern California, University of Pennsylvania
Mapping Connectomes for Disordered Mental States
PI: Leanne Williams300 Subjects, Age 18-35
Stanford University
Neural Disconnection & Errant Visual Perception in Psychotic Psychopathology
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University of Minnesota
Perturbation of the Treatment of Resistant Depression Connectome by Fast-Acting Therapies
PI: Randall Espinoza, Katherine Narr, Danny Wang240 Subjects, Age 20-64
University of California, Los Angeles
The Structural & Functional Connectome across AD Subtypes
PI: John Ringman260 Subjects, Age 20-80
University of Southern California
Related Connectome Studies
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Dual Mechanisms of Cognitive Control
PI: Todd Braver300 Subjects, Age 18-40
Washington University School of Medicine
Connectome Software Releases
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.
Connectome Workbench
v 1.4.2
Connectome Workbench is an open source, freely available visualization and discovery tool used to map neuroimaging data, especially data generated by the Human Connectome Project.
Screenshots
Connectome MR Pipeline
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.
HCP MEG Pipelines
v 3.0
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