The braingraph.org database with more than 1000 robust human connectomes in five resolutions

Area of Science:

• Neuroscience
• Computational Biology
• Data Science

Background:

• Mapping human brain connectivity at the neuronal level is currently infeasible.
• Magnetic Resonance Imaging (MRI) enables macroscopic connection mapping between brain areas.
• Neuroimaging workflows involve complex steps prone to errors.

Purpose of the Study:

• To publish a comprehensive dataset of human connectomes.
• To provide multi-resolution brain graph data for broader scientific access.
• To facilitate interdisciplinary research in human brain connectivity.

Main Methods:

• Utilized public Human Connectome Project MRI data.
• Computed 1064 human connectomes across 5 resolutions (83 to 1015 nodes).
• Implemented an averaging and extreme value deletion strategy for error correction.

Main Results:

• Published 1064 human connectomes, resulting in 5320 downloadable braingraphs.
• Data available in 5 distinct resolutions with anatomically labeled nodes.
• Ensured data quality through rigorous error correction strategies.

Conclusions:

• The released dataset provides accessible, multi-resolution human brain connectomes.
• Enables researchers from diverse fields (mathematics, physics, engineering) to analyze brain connectivity.
• Supports robust connectomical studies for neuroscientists and computational neuroscientists.