The braingraph.org Database of High Resolution Structural Connectomes and the Brain Graph Tools

TL;DR

This paper introduces a comprehensive database of high-resolution human brain connectomes derived from the Human Connectome Project, along with tools for processing and visualizing these complex graphs, supporting advanced neuroscience research.

Contribution

It provides a large, multi-resolution connectome database with detailed annotations and a set of processing tools, enhancing accessibility and analysis of brain connectivity data.

Findings

Connectomes for 426 subjects across five resolutions are available.

Partially directed connectomes for 423 subjects are provided.

Tools for processing and visualization are accessible via GitHub.

Abstract

Based on the data of the NIH-funded Human Connectome Project, we have computed structural connectomes of 426 human subjects in five different resolutions of 83, 129, 234, 463 and 1015 nodes and several edge weights. The graphs are given in anatomically annotated GraphML format that facilitates better further processing and visualization. For 96 subjects, the anatomically classified sub-graphs can also be accessed, formed from the vertices corresponding to distinct lobes or even smaller regions of interests of the brain. For example, one can easily download and study the connectomes, restricted to the frontal lobes or just to the left precuneus of 96 subjects using the data. Partially directed connectomes of 423 subjects are also available for download. We also present a GitHub-deposited set of tools, called the Brain Graph Tools, for several processing tasks of the connectomes on the site \url{http://braingraph.org}.