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Brain Imaging

Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...

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Related Experiment Video

Updated: Apr 13, 2026

Neurovascular Network Explorer 2.0: A Simple Tool for Exploring and Sharing a Database of Optogenetically-evoked Vasomotion in Mouse Cortex In Vivo

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ConnectomeDB--Sharing human brain connectivity data.

Michael R Hodge¹, William Horton¹, Timothy Brown¹

¹Department of Radiology, Washington University School of Medicine, St. Louis, MO, USA.

|May 3, 2015

Summary

This summary is machine-generated.

ConnectomeDB provides a public platform for human brain connectome data, including MRI and MEG imaging, plus behavioral information. This resource facilitates access to brain structure, function, and connectivity data for researchers worldwide.

Keywords:

Connectome Coordination Facility Connectomics Data sharing Human Connectome Project Neuroinformatics databases Open access XNAT

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Area of Science:

Neuroscience
Neuroimaging
Data Science

Background:

The Human Connectome Project (HCP) generates extensive data on human brain structure, function, and connectivity.
A centralized, accessible database is crucial for disseminating these complex datasets.

Purpose of the Study:

To introduce ConnectomeDB as the primary archive and dissemination platform for HCP data.
To detail the types of data available and the access policies.
To describe the technical infrastructure supporting data distribution.

Main Methods:

Integration of multiple magnetic resonance imaging (MRI) and magnetoencephalography (MEG) data modalities.
Inclusion of structural, functional (task and resting-state), and diffusion MRI data.
Provision of unprocessed, minimally preprocessed, and analyzed imaging data alongside behavioral and demographic information.

Main Results:

ConnectomeDB houses a comprehensive collection of human connectome data.
Publicly accessible imaging and behavioral data are available, with restricted access for sensitive information.
High-speed data download capabilities are implemented via a web interface and Aspera fasp service.

Conclusions:

ConnectomeDB serves as a vital public resource for human brain connectome research.
The platform supports broad data accessibility and efficient retrieval for the scientific community.
It enables further investigation into brain structure-function relationships and associated behaviors.